CN109661693A

CN109661693A - A kind of preferential short high-quality berth Dynamic Pricing method stopped

Info

Publication number: CN109661693A
Application number: CN201680086693.8A
Authority: CN
Inventors: 杜豫川; 王晨薇; 赵聪; 邓富文; 岳劲松
Original assignee: Tongji University
Current assignee: Tongji University
Priority date: 2016-12-30
Filing date: 2016-12-30
Publication date: 2019-04-19
Anticipated expiration: 2036-12-30
Also published as: CN110337680A; WO2018122813A1; CN109416879B; WO2018122587A1; CN109416879A; GB201909413D0; GB201711410D0; CN109661693B; WO2018122812A1

Abstract

A kind of preferential short high-quality berth Dynamic Pricing method stopped, this method considers the quantity of high-quality parking position, region parking demand feature, parking stall occupation rate etc., by way of being incremented by progression charging, it sets to fining the paying price in high-quality berth and carries out dynamic adjustment according to the actual situation, to reach the vehicle that the limited high-quality limited supply parking duration in berth is shorter, improve the turnover rate in high-quality berth, so that more drivers is obtained comfortable easily parking service and shorter walking time, improves social whole efficiency.

Description

A kind of preferential short high-quality berth Dynamic Pricing method stopped

A Pricing Method for High Quality Parking Lots with Priority to Short-parking Cars

Technical field

The present invention relates to a kind of preferential short high-quality berth Dynamic Pricing methods stopped.Driver drives to arrive at the destination neighbouring parking area when being prepared to stop, be partial to select position it is convenient, park safe high-quality berth, and be unwilling position compared with it is remote, park and output that difficulty is big, is not easy to look for the common berth of vehicle, can because high-quality berth number caused by supply falls short of demand congestion and discharge increase.City manager can use method proposed by the present invention and carry out parking price to high-quality berth, realize management and guidance to parking demand.Particularly, the present invention considers the quantity of high-quality parking position, region parking demand feature, parking stall occupation rate etc., by way of being incremented by progression charging, fining ground sets the paying price in high-quality berth and carries out dynamic adjustment according to the actual situation, to achieve the purpose that preferentially to supply limited high-quality berth the shorter vehicle of parking duration, improve the turnover rate in high-quality berth, so that more drivers is obtained comfortable easily parking service and shorter walking time, improves social whole efficiency.Background technique

Many city parking imbalances between supply and demand are prominent at present, and parking problem has become serious urban transport problems.Charge is to adjust one of most directly effective means of market supply and demand, thus Car park payment price is the important content and key measure of parking management.It can achieve following purpose by reasonable Car park payment:

(1) fairness doctrine of " user charge " is embodied；

(2) turnover rate for improving public parking berth realizes that the optimization of existing parking facility uses；

(3) by toll administration, parking order and traffic safety are ensured；

(4) by the adjustment of parking rate, certain modes of transportation are stimulated or is inhibited；

(5) spatial diversity, time difference and the parking facility type difference for rate of stopping play an important roll to urban parking facilities supply-demand relationship is adjusted, such as carry out the charging method by land price grade differential levels, timing progression in center, in this, as economic lever, it can play the role of adjusting, control centre's area's parking supply, and then regulate and control the dynamic and static transport need in center.Curb parking toll rate is formulated and mostly uses " cost-oriented pricing " at present.Its foundation considered mainly has cost of serving (including cost of land, construction cost, operating cost etc.), willingness to pay, parking demand feature, Urban Transport Policy target etc..The prior art 1

One U.S. Patent application, US20140122375 disclose a kind of method fixed a price according to the real-time parking stall occupancy in parking lot come dynamic regulation parking.This pricing method needs to detect the real-time occupancy of parking stall by intelligence sensor, and current occupancy compares with target occupancy by comparing module, realizes the feedback control to parking demand by adjusting parking price in real time.Fig. 1 shows the implementation flow chart of this Dynamic Pricing method.Fig. 2 show one of this pricing method it is with high safety in parking demand, parking stall occupancy and setting parking price situation of change.This pricing method is detecting that parking stall occupancy is more than the target value of setting it can be seen from Fig. 2, i.e., improves the price of Car park payment when parking demand is larger, play the role of controlling consumption, parking stall occupancy is dropped to 85% threshold value of setting or less.But In this pricing method, system is to provide berth resource to parking person according to first come first served basis, had not both accounted for the differentiation of berth resources supplIes superiority and inferiority, the differentiation and selection of parking duration are not also carried out to parking user.Therefore, it is not able to achieve and high-quality berth resource is maximally utilized.The prior art 2

One U.S. Patent application, US20110213672 disclose a kind of differentiation pricing method in berth under high conditions of demand.Available berth in parking lot is divided into the classifications such as " common berth ", " finally retaining one of berth ", " unique last reservation berth " by this method in quantity, reference has used the concept of berth " contribution margin ", it is different according to the contribution margin in different classes of berth, different prices is carried out, to it to realize the maximization of operator's profit.Fig. 3 shows the division to berth classification with this method in a parking lot.Wherein identify L is " large scale berth ", and identify S is " safe berth ", and not having tagged is common parking stall.Following table shows the category division and pricing rule in an embodiment of this method to berth.

Although not reasonably selected to the parking duration of parking person as can be seen that this pricing method, which has carried out differentiation to berth, distinguishes price.The purpose of this pricing method is the optimization of the maximization of operator's profit rather than social efficiency, therefore can not ensure that its high-quality berth can farthest serve more drivers, therefore equally exists the waste of a degree of high-quality berth resource.Summary of the invention

Limited high-quality berth is used to farthest meet the parking demand of the shorter vehicle of parking duration, improves the turnover rate in high-quality berth, is the key that improve social whole efficiency.This thinking can with lower and example be illustrated:

Assuming that the convenient and fast high-quality berth in an existing position, it is 2 minutes that traveler, which wants the walking distance of the final destination of arrival, after distance parking；There is the farther away common parking stall in position simultaneously, the walking distance apart from final destination is 5 minutes.Assuming that after first having 4, B, two drivers in a certain period while needing to stop with reaching this purpose, wherein a length of 6 hours when the parking of A, a length of 2 hours when the parking of B, have after 2 hours driver (:, same destination is reached after having driver D to be also required to parking after 4 hours, parking duration is also 2 hours.Under existing technical method, it is possible that situation are as follows:

Vehicle is parked on high-quality parking stall by driver A, is arrived at the destination within walking 2 minutes after parking；Vehicle is parked on common parking stall by driver B at the same time, is taken a five minute walk and is arrived at the destination after parking.After 2 hours, B vehicle is sailed out of, and vehicle can only be parked on common parking stall (because high-quality berth is still occupied by A vehicle) by the C reached at this time, also needs to take a five minute walk after parking to arrive at the destination；Together Sample, vehicle can only be also parked on common parking stall (because high-quality berth is still occupied by A vehicle) by the D that C is sailed out of, and reached at this time after 2 hours, also need to take a five minute walk after parking to arrive at the destination.In this case, the walking time that four drivers are spent in whole system amounts to 2+5+5+5=17 minute.And if high-quality berth is preferentially met short parking using thinking of the invention, then situation can become:

Vehicle is parked on common parking stall by driver A, is taken a five minute walk after parking；Vehicle is parked on high-quality parking stall by driver B at the same time, walking 2 minutes after parking.After 2 hours, when C is reached, the B on high-quality parking stall has been sailed out of, therefore vehicle can be parked on high-quality parking stall by C；Similarly, when and crossing 2 hours D and reach, the C on high-quality parking stall has been sailed out of, therefore vehicle can be parked on high-quality parking stall by D, therefore (:, the walking time is 2 minutes needed for D.In this case, the walking time that four drivers are spent in whole system amounts to 5+2+2+2=11 minute.Fig. 4 has carried out comparative illustration to both situations.

By this example it can be found that in this system, the walking time that system is integrally paid significantly reduces, and efficiency is greatly improved by the way that high-quality parking stall preferentially to be distributed to the shorter vehicle of parking duration (hereinafter referred to as " short parking ").How by the arm's length pricing to high-quality berth, guides short parking to stop growing parking to high-quality berth and stopping to commonly parking, be the problem to be solved in the present invention.The present invention provides a kind of methods of preferential short high-quality berth Dynamic Pricing stopped based on the limitation of high-quality berth number and parking demand feature distribution, parking behavior feature in available region, calculate parking duration control threshold and Freight Basis, realize that the long parking of induction transfer to common berth, and state can carry out dynamic regulation to price according to actual needs.It realizes and improves high-quality berth occupancy, reduce the total cruising time of system and the purpose of walking time.High-quality berth described here refers to the higher parking stall of convenience, and obvious characteristic is that driver final destination to be reached is closer in parking area, and the required walking time is shorter after driver's parking.Common berth described here refers to that convenience is worse than the berth in high-quality berth, it is characterized in that present position is relatively remote, the walking time needed for walking to the final destination in parking area after driver's parking is longer.It can be that high-quality berth therein is fixed a price with method of the invention when berth high-quality in a certain region and common berth exist simultaneously.The present invention specifically includes the following steps:

(1) parking area geological information table is established.Information contained includes that garage distance d between garage distance d, each parking area garage entrance and common berth between the quantity m, each parking area garage entrance and high-quality berth of garage's entrance of parking area and the walking distance Ad between high-quality berth and common berth, these data are obtained by field survey.The parking area geological information established indicates for example shown in Fig. 5.

(2) unit charging duration ^ is determined.Unit charging duration i_QIt can be any duration of the Period Length less than required price, what is such as formulated is the Car park payment policy in 3 hours, then should meet ^≤3 hour.An i is pressed in charging in the part that a ^ is discontented in duration of stopping_QIt calculates. Particularly, i is proposed in this method_QValue should meet 1 minute≤i_Q≤ 20 minutes.This is because bigger, Car park payment is more obvious with the increased steps mutation of parking duration, the user that duration can be made to be in mutation Near Threshold is more sensitive to the variation of charge, to increase the time Anxiety of user, reduces parking user to the satisfaction of parking service.Fig. 6, which is shown, in a length of identical situation of total cost 2 hours, finally paid, sets unit charging duration i when assuming that certain user is stopped_Q=1 hour and i_Q=10 minutes in the case of two kinds, the situation of change that Parking Fee increases at any time in 2 hours.As seen from Figure 6, t_QIn the case of=l hours, charge, which increases, has apparent steps mutation, this makes parking person that will generate apparent anxiety sense when parking was close to 2 hours, because worrying duration once more than 2 hours, expense can be generated and be uprushed.And in i_QIn the case where=10 minutes, charge increases gentler gradual change, and user does not have to concern due to being more than some time limit and generates being significantly increased for expense, experiences so as to improve the parking of user.Determine characteristic of stopping in parking area.These data include into having the vehicle number Q of parking demand, the parking duration 1 for the vehicle for having parking demand, the ratio beta that vehicle enters from each garage's entrance in the parking area in the parking area_η, parking user's travel time value α in parking area, the average speed i7 in parking area_d, in parking area in average walking speed and parking area parking user coefficient of sensitivity of price μ.Wherein, vehicle stops user's travel time value α, the average speed i7 in parking area out of each garage's entrance enters ratio parking area in the parking area_d, in parking area parking user average walking speed I7_WAnd the coefficient of sensitivity of price μ for user of stopping in parking area, it can be by the way that sampling adjusts Check obtain on the spot in the parking area.When determining the vehicle number Q for having parking demand in the parking area and parking duration this two item data of t of vehicle for having parking demand, need to utilize at least one of following four related data: a) with the historical experience value j of parking vehicle number ρ j in parking area described in the period and duration of stopping.The data or manual record stored by intelligentized parking facility, obtain the arriving amt of parking vehicle and summation at high-quality berth and common berth, the parking duration of each car is recorded simultaneously, it randomly selects more days record values and is averaged, the historical experience value of parking vehicle number historical experience value and duration of stopping in the as described parking area.Particularly, in the extraction statistics for carrying out historical data, the situation that should divide the date of selection these three demand differences of working day, two-day weekend and special holidays larger is counted respectively.B) the Real-Time Traffic Volume ρ of peripheral path_π.Finger is issued by traffic management department or related professional third party, around the Real-Time Traffic Volume data of the road network on the parking area periphery.C) the berth reservation data ρ on mobile terminal Α Ρ Ρ_ΠΙ、 ί_ΠΙ.Finger has the user of parking demand to pass through relevant mobile terminal application Α Ρ Ρ in advance, is reserved to the high-quality berth in the parking area, and the period stopped needed for informing.The quantity in the high-quality berth being reserved on Α Ρ Ρ and reservation period can be obtained in real time from using backstage. D) the luring for template activity in parking area known to increases parking demand ρ!ν, t_w.The parking demand in parking area can be increased when in the parking area by the interim activity of generation, it is therefore desirable to grasp participant's number and the movable time held.Utilize one of the above or a variety of related datas, by one of following three kinds of methods, the parking duration t of the vehicle number Q for having parking demand in the parking area and the vehicle for having parking demand is predicted: a) the vehicle number Q for having parking demand in the parking area=

With the historical experience value ρ of parking vehicle number in parking area described in the period！The share ratio of the number of participant ρ ^ χ car trip of template activity in+parking area；Wherein the value of the share ratio of car trip is greater than 0.1 less than 0.3, adjusts Check to obtain by sampling on the spot；Parking duration t in parking area is lured the parking duration distribution i of the parking demand of increasing by template activity in the historical experience value ^ and parking area of parking duration!V is superimposed to obtain.B) the vehicle number Q for having parking demand in the parking area=

Berth number ρ is reserved in APP_ΠΙ+ with template activity in historical experience value ρ j X (ratio that l-APP subscriber accounts for all parking users)+parking area of parking vehicle number in parking area described in the period

The share ratio of car trip；It is to adjust Check to obtain by sampling that wherein APP subscriber, which accounts for the ratio of all users, and the value of the share ratio of car trip is greater than 0.1 less than 0.3, adjusts Check to obtain by sampling on the spot；Parking duration t in parking area lures the parking duration i of the parking demand of increasing by the historical experience value t j of parking duration and the parking duration of the parking demand determined by historical data, APP reservation data and by template activity in parking area!Tri- superpositions of V obtain.C) the vehicle number Q=peripheral path Real-Time Traffic Volume ρ for having parking demand in the parking area_ΤΙHistorical experience value of the χ with parking vehicle number in parking area described in the period

, the history average of the distribution of the parking duration t of aggregate demand and the Real-Time Traffic Volume for the duration historical data peripheral path that stops

The distribution t of empirical value_TUnanimously.When for determining the high-quality berth price for being supplied to subscriber in APP, application method a) is answered;When the real-time dynamic for carrying out high-quality berth price adjusts, application method b) or method c) is answered.But the price adjusted in real time is only applied to The non-subscriber for entering berth after price publication, for the parking user reserved on APP, the charging standard that charging standard is apprised of when still reserving according to it is executed.Determine parking duration control threshold t_m.It follows the steps below:

The vehicle total amount Q for having parking demand in parking area is grouped by the data as obtained in step (3) by parking duration t, and group is away from for unit charging duration t_Q.A length of ti=iXt when the parking of i.e. i-th group data_Q, the vehicle number of the group is qi, and the value range of i is i=1,2,3 T/t_0;Wherein T is total price duration；By i-th group of vehicle number_qi, calculate i-th group of vehicle and be averaged every t_QThe amount of reach q of duration_Qi=^- is averaged every t by i-th group of vehicle_QThe amount of reach q of duration_QiStop time-space distribution quantity=q required for i-th group of vehicle of parking duration calculation with i-th group of vehicle_oi Xt_r, stop time-space distribution quantity Si, S as required for each group vehicle₂Parking time-space distribution quantity ∑ 8^=8 needed for the accumulation of i group vehicle before calculating₁ + 8₂+— + 5^；Its parking time-space distribution S that can be provided is calculated by the Berth number s in high-quality berth_p = 0.85xsxt_{o ;}By ∑ Si, ∑ S₂The parking time-space distribution 5 that ∑ Si and high-quality berth can be provided_!?It is compared, finds out an i', so that ∑ is closest but and is no more than S_p, group i' corresponding parking duration ^ in place is the duration control threshold that stops

Fig. 7 shows parking duration control threshold t_mCalculation process.This calculating process can use parking demand statistical form to be calculated.Following table is an example of parking demand statistical form.

Parking duration is averaged amount of reach q_QiStop time-space distribution needed for required parking resource Si accumulation

Number qi

(10min) (/lOmin) (a hour) ∑ s_;(■ hours a)

1 6 0.333 0.056 0.056

2 1 0.056 0.019 0.074

3 1 0.056 0.028 0.102

4 1 0.056 0.037 0.139

5 3 0.167 0.139 0.278

6 2 0.1 1 1 0.1 1 1 0.389

7 3 0.167 0.194 0.583

8 1 0.056 0.074 0.657

9 3 0.167 0.250 0.907

10 0 0.000 0.000 0.907 Determine high-quality berth parking price.It sequentially includes the following steps:

By known common berth Car park payment policy, when calculating a length of parking duration control threshold as when parking, the parking price P in common berth_t'_;Set the Free parking duration t in high-quality berth_f, i.e., when vehicle parks duration no more than ^ at high-quality berth, without charge；The value of ^ can be o, i.e. vehicle stops to begin to charging into high-quality berth from one；Value at cost method determines floor price of the high-quality berth in duration, as high-quality berth Free parking duration ^ after first t_QPaying price p in duration_1;By a length of t ^f as when parking, the parking price P in common berth_t' and the parking area geological information table in data, by formula (1) calculating a length of t as when parking_mWhen, Car park payment of the vehicle parking at high-quality berth: p p_{+ a}(^ _{+ 2}.^ (1)

V v_d v_w

Wherein:

P_t' indicate to acquire and be grown as when parking equal to duration control threshold t_mWhen, vehicle parking is needed to the Parking Fee paid at common berth；

α indicates the travel time value of the parking area parking user；

Ad indicates the walking distance between high-quality berth and common berth；

D' indicates garage's distance between common berth and the Entrance to controlled parking zone.If there are multiple entrances for the parking area, using the weighted average of garage's distance between common berth and each garage's entrance, weight is that the ratio that the vehicle in the parking area enters from each entrance is indicated with (2) formula:

d' =∑^₌₁β_η -ά_η' (2) wherein:

M indicates vehicle entrance sum in region；

β_ηIndicate that the vehicle in the parking area enters the ratio in region from the η garage's entrance；D indicates garage's distance between n-th of garage's entrance and common berth.

D indicates garage's distance between the high-quality berth and parking area garage entrance.If there are multiple garage's entrances in the region, indicated with the weighted average of distance between the high-quality berth and each garage's entrance, weight is that the ratio that the vehicle in the parking area enters from each entrance is indicated with (3) formula:

d =∑^₌₁β_η -ά_η(3) wherein:

d_nIndicate garage's distance between n-th of garage's entrance and the high-quality berth.Remaining meaning is same as above.

v_cIndicate the average overall travel speed of vehicle in the parking area；

v_wIndicate the average walking speed of traveler in the parking area.By as when parking a length of 1₎When Car park payment of the vehicle parking at high-quality berth, the price increases variance Δ ρ in high-quality berth, i.e., the charge unit charging duration t more a than (η -1) of high-quality the η unit charging duration ^ in berth are calculated by formula (4)_QThe part that charge goes up: 2(P_t-W-_Pl)

Δρ = ( 4) W(W-l)

Wherein:

_ t_m— tf

N indicates parking duration control threshold 1₎Contained in unit charging duration number, i.e. N_tF) by high-quality berth Free parking duration t_fAfter first t_QThe paying price p of duration₁With the price increases variance Δ ρ in high-quality berth, the paying price of the η duration after high-quality berth Free parking duration ^ is calculated by formula (5)

Wherein, step b), c), d) it can carry out simultaneously, Fig. 7 shows the calculation flow chart of high-quality berth parking price.In this step, a kind of possible embodiment is the parking user for using mobile terminal application APP to reserve high-quality berth, it is that it provides a toll project in pre- timing system, and in final charge, a degree of discount is carried out on the basis of this toll project.In this step, a kind of possible embodiment is the coefficient of sensitivity of price μ for considering parking user in the parking area., can be to the resulting parking price of calculating multiplied by coefficient μ i.e. when the reaction that user change high-quality berth paying price of stopping in the parking area is smaller, 1 < μ≤1.5 carry out certain expansion, to achieve the purpose that effectively to shunt.In this step, a kind of possible embodiment, according to the difference of the conditions such as position, facility, size between different high-quality berths, is classified to high-quality berth when high-quality berth number is more.When high-quality berth present position is more convenient, berth size is bigger, and the difficulty in vehicles while passing berth gets over hour, and higher grade corresponding to the high-quality berth, and the value of equivalent coefficient I is bigger.By to calculating resulting parking price multiplied by different equivalent coefficient ^, it realizes and differentiation charge is carried out to different grades of high-quality berth, finally obtain the high-quality berth charge matrix for indicating high-quality berth paying price under the conditions of different time, different brackets.Fig. 9 shows the setting for a kind of possible hierarchical approaches in multiple high-quality berths and its gradation factor that are located in the same parking lot.Figure 10 shows an example of high-quality berth charge matrix.Here the derivation of formula (1) is illustrated: driver enter region when so that its Trip Costs be minimised as principle carry out parking selection go to high-quality berth or common berth.Driver includes: the parking fee paid at high-quality berth or common berth, is travelled by area entry to three parts the time required to walking is round-trip between destination at the needed driving time in berth, berth in the Trip Costs generated in docking process.The park- ing cost being made of this three parts can indicate are as follows:

C = Ρ + at_d + at_w(6) in formula (6):

C indicates that driver selects the park- ing cost generated when high-quality berth；

P indicates that driver selects the parking fee paid when high-quality berth；

t_dIt indicates that driver travels from area entry to running time needed for high-quality berth, is equal to driving distance divided by average speed； t_wIndicate the walking time needed for driver's walking is travelled to and fro between high-quality berth and destination, (round-trip) the walking distance equal to twice is divided by average walking speed；

Remaining meaning is same as above.

According to the definition in high-quality berth, i.e., its distance apart from driver destination is close, therefore in the Trip Costs for considering that high-quality berth is selected to pay, walking cost can be ignored.Then formula (7) can be written as

C = P + at_d=P+a-(7) similarly, have:

C' = P' + at'_d + at_w' in (8) formula (8):

C indicates that driver selects the park- ing cost generated when common berth；

P' indicates that driver selects the parking fee paid when common berth；

t'_dIt indicates that driver travels from area entry to running time needed for common berth, is equal to driving distance divided by average speed；

T indicates that the walking time required between common berth and destination is travelled to and fro between in driver's walking, and (round-trip) the walking distance equal to twice is divided by average walking speed；

Remaining meaning is same as above.

Distance due to high-quality berth apart from destination can be ignored, then the distance between common berth and destination can be with the distance between common berth and high-quality berth Ad come approximate replacement.Then formula (8) can be write as:

C = ?' + t'_d+ t'='+-+- (9) in order to achieve the purpose that the long parking of induction is transferred to common berth, should meet between prepared high-quality berth paying price and common berth paying price:

C < C, as t < t_m

Two, when two！^ (10) O C, as t > t_m

Wherein:

T indicates that the parking duration of driver, remaining meaning are same as above.

Figure 11 shows the comparative situation of Car park payment between high-quality berth and common berth.

Therefore, available formula (1) is derived by formula (7) (9) (10), then acquires high-quality berth constituent parts charging duration i_QInterior paying price.

(6) real-time detection interval duration ^ is determined, the real-time statistics and detection being timed to the real-time occupancy 0 of the actual vehicle number and high-quality berth that stop at high-quality berth.Utilize intelligent barrier gate, video frequency car position detector, infrared parking lot detector, microwave parking lot detector or geomagnetic induction coil, every ^ duration statistics from pricing period starting to current time, the actual vehicle number to stop at high-quality berth and the real-time occupancy 0 in high-quality berth at this time, and data are reported to system.

(7) real-time detector data is compared with prediction data, the high-quality berth parking price of period after determining.By there is the vehicle number Q of parking demand in the parking area determining in step (3), acquires and originate from pricing period to current The predicted required amount at moment=read aloud picture is long,

The actual vehicle number to stop at the total duration τ of pricing period and high-quality berth compares, if 0.85 ρ_ρ < Q_r < 1.15ρ_ρAnd 0.7 < O_r< 0.9, then original toll project is constant；If not satisfied, then needing to re-execute the steps (3) to step (5), relevant parameter is updated, determines and issues new toll project.The above symbol and its represented meaning are summarized as follows table:

Symbol meaning

Garage's entrance sum in m parking area

Garage's distance between n-th of garage's entrance of dn parking area and high-quality berth

Garage's distance between n-th of garage's entrance of η ' parking area and common berth

Walking distance between the high-quality berth Ad and common berth

To unit charging duration

There is the vehicle number of parking demand in Q parking area

There is the parking duration of the vehicle of parking demand in t parking area

The historical experience value of parking duration in parking area

The historical experience value of parking vehicle number in Q i parking area

The parking duration in the reservation berth on the Real-Time Traffic Volume mobile terminal APP of Q ll peripheral path

The parking duration for luring increasing parking demand of the template activity in berth reservation quantity parking area on Qm mobile terminal APP

Luring for template activity in Qw parking area increases in parking demand β η parking area from the vehicle proportion of n-th of garage's entrance entrance

The travel time value of parking user in a parking area

v_dThe average overall travel speed of vehicle in parking area

The average walking speed of parking user in parking area

The coefficient of sensitivity of price of parking user in μ parking area

Parking duration control threshold

The parking duration of i-th group of vehicle in parking demand statistical form

I-th group of vehicle number in parking demand statistical form

I-th group of vehicle is averaged every t in qoi parking demand statistical form_QThe amount of reach of duration

T always fixes a price duration

Parking time-space distribution quantity needed for i-th group of vehicle in Si parking demand statistical form The Berth number in the parking high-quality berth time-space distribution quantity s needed for preceding i group vehicle accumulation in parking demand statistical form

s_pThe parking time-space distribution quantity that high-quality berth can be provided

Stop duration control threshold t in V parking demand statistical form_mCorresponding group

Pt stops duration equal to t_mWhen, vehicle is parked in the parking fee paid needed for common berth

Pt stops duration equal to 1₎When, vehicle is parked in the Free parking duration in the high-quality berth parking fee tf paid needed for high-quality berth

After the high-quality berth Free parking duration ^ of Pi between the high-quality berth paying price d and each garage's entrance of parking area of the 1st duration between the common berth weighted average d' and each garage's entrance of parking area of garage's distance garage's distance weighted average

The price increases variance in the high-quality berth Δ ρ

N a length of t as when parking_mWhen, contained unit charging duration i_QNumber

The paying price of n-th of ^ duration after the high-quality berth Free parking duration ^ of Pn

Yi grade is the equivalent coefficient in the high-quality berth of i

C parking user selects total park- ing cost when high-quality berth

P parking user selects the parking fee paid when high-quality berth

Parking user travels to the parking user's walking of running time needed for high-quality berth total park- ing cost when the walking time c parking user needed for travelling to and fro between high-quality berth and destination selects common berth from Entrance to controlled parking zone

P' parking user selects the parking fee paid when common berth

Parking user travels to the parking user's walking of running time t' needed for common berth the walking time tr high-quality berth real-time detection interval duration needed for travelling to and fro between common berth and destination from Entrance to controlled parking zone

The actual vehicle number that Qr stops at high-quality berth

The real-time occupancy in the high-quality berth Or

Qp originates to detection moment the predicted value explanation of nouns for having the vehicle number of parking demand from pricing period

(1) unit charging duration t_{Q :}Refer to that the vehicle for being parked in high-quality berth after Free parking duration ^, is often fully parked with a t_QDuration, Parking Fee just increase once, and increased part is a nearest i_QThe price of period.

(2) coefficient of sensitivity of price μ: reflect the change degree that parking user caused by high-quality berth parking price changes selects berth, the change degree of parking user's selection is smaller, and μ value is bigger.

(3) stop duration control threshold t_{m :}Refer to that parking management person wants high-quality berth to the maximum value of the duration of vehicle parking.

I.e. manager wishes that all parking durations are less than or equal to t_mVehicle parking to high-quality berth, and duration of stopping goes to common berth to stop greater than t ^ vehicle.

(4) parking demand statistical form: the vehicle for having parking demand in parking area and required parking time-space distribution are grouped statistics according to parking duration, for calculating parking duration control threshold t_mTable. (5) stop time-space distribution: the product of parking vehicle occupied Berth number and its duration of stopping, unit are a, hour.

(6) the price increases variance Δ ρ in high-quality berth: the η, high-quality berth unit charging duration t.Price unit charging duration more a than (η -1) rise in price part.

(7) equivalent coefficient in high-quality berth characterizes the superiority and inferiority difference as caused by the conditions difference such as position, size between different grades of high-quality berth, and the condition in high-quality berth is more excellent, and the value of equivalent coefficient is bigger.

(8) high-quality berth charge matrix: the matrix for indicating paying price of the high-quality berth under different time, different brackets.

(9) high-quality berth real-time detection interval duration refers in pricing period, and every ^ duration, system carries out one-time detection collection to the real time data in high-quality berth automatically, and is compared with predicted value or target value.Detailed description of the invention

Fig. 1 is the implementation flow chart of the prior art 1.

Fig. 2 is 1 embodiment explanation of the prior art.

Fig. 3 is classification example in berth in the prior art 2.

Fig. 4 is existing situation and optimization situation comparison diagram.

Fig. 5 is an example of parking area geological information table.

Fig. 6 is not commensurate's charging duration t_QLower charge variation is to figure.

Fig. 7 is parking duration control threshold t ^ calculation flow chart.

Fig. 8 is the calculation flow chart of high-quality berth parking price.

Fig. 9 is the setting of a kind of possible hierarchical approaches in multiple high-quality berths and its gradation factor in certain parking lot.

Figure 10 is an example of high-quality berth charge matrix.

Figure 11 is the comparison diagram of high-quality berth charge P and common berth charge P'.

Figure 12 is the preferential short high-quality berth Dynamic Pricing method implementation flow chart stopped.

Figure 13 is the parking area sketch map in embodiment.

Figure 14 is that the inside in parking lot where high-quality berth in embodiment is put down and schemed.Specific embodiment

Specific embodiment one

In the present embodiment, the possible embodiment of a foregoing invention is provided, parking area sketch map shares two entrances E1 and E2 as shown in Figure 13 in this example in region, and road-surface concrete position PI is high-quality parking resource, there are 100 parking stalls；Off-street parking lot P' is general park resource, 07:00-24:00 that charge search time is certain day.User can reserve in advance the high-quality berth in the parking area by relevant mobile terminal application APP, and in reservation, APP will inform the user that the paying price in the high-quality berth, and finally charge according to the user that this price comes to reservation.Now fix a price for the parking of APP subscriber for the high-quality berth in the parking area using the preferential short high-quality berth Dynamic Pricing method stopped.Implementation process is as follows:

By field survey, it is as follows to establish the parking area geological information table:

Between each garage's entrance of Entrance to controlled parking zone and high-quality berth Jian Ge garage's entrance and common berth

Garage's distance (km) garage's distance (km)

E1 0.5 1.2 Walking distance Ad (km) 1.4 between the high-quality berth E2 2 1.2 and common berth

10 minutes a length of when setting unit charging, charging in 10 minutes is pressed in part of the duration of stopping less than 10 minutes.

Check is adjusted to obtain by sampling on the spot, entering the vehicle number of parking area from E1 daily in the parking area is 400, and the vehicle number for entering parking area from E2 is 200；Travel time value is 25 yuan/hour per capita in parking area；Vehicle average overall travel speed is 10km/h in parking area, and walking speed is 5km/h per capita.

It is 500 by the historical experience value that the intelligent barrier gate data of high-quality berth parking lot P and common berth parking lot P' obtain parking vehicle number in parking area, known to parking duration distribution；An activity will be held in this day in the known parking area simultaneously, it is contemplated that the number of participant is 300 people, and the activity time is 9:00-11:00, select in participant before driving for number ratio be about 20%.

Because being the high-quality berth parking price carried out for APP subscriber, then the vehicle number for having parking demand in this day in the parking area is predicted according to the method a) in step (3)

The vehicle number Q for having parking demand in the parking area

The historical experience value of=parking vehicle arrival rate

Share ratio=500+300x20%=560 of the number of participant X car trip of template activity in+parking area

To there is the vehicle number Q of parking demand to be grouped in the region by its duration t that stops, it is as follows to obtain parking demand statistical form: parking duration is averaged amount of reach q_QiStop time-space distribution needed for required parking resource accumulation

Number qi

(10min) (/lOmin) (a ' hour) ∑ s_;(■ hours a)

1 10 0.1 190 0.0198 0.0198

2 1 1 0.1310 0.0437 0.0635

3 14 0.1667 0.0833 0.1468

4 5 0.0595 0.0397 0.1865

5 9 0.1071 0.0893 0.2758

6 9 0.1071 0.1071 0.3829

7 9 0.1071 0.1250 0.5079

8 1 1 0.1310 0.1746 0.6825

9 13 0.1548 0.2321 0.9147

10 12 0.1429 0.2381 1.1528

1 1 13 0.1548 0.2837 1.4365

12 9 0.1071 0.2143 1.6508

13 7 0.0833 0.1806 1.8313

14 1 1 0.1310 0.3056 2.1369

15 8 0.0952 0.2381 2.3750

16 15 0.1786 0.4762 2.8512

17 13 0.1548 0.4385 3.2897

18 1 1 0.1310 0.3929 3.6825

19 5 0.0595 0.1885 3.8710

20 10 0.1 190 0.3968 4.2679

21 12 0.1429 0.5000 4.7679

22 8 0.0952 0.3492 5.1 171

η

Z.OT8SO/9lOZai/X3d 66 10 0.1 190 1.3095 29.5655

67 4 0.0476 0.5317 30.0972

68 7 0.0833 0.9444 31.0417

69 5 0.0595 0.6845 31.7262

70 3 0.0357 0.4167 32.1429

71 4 0.0476 0.5635 32.7063

72 6 0.0714 0.8571 33.5635

73 2 0.0238 0.2897 33.8532

74 3 0.0357 0.4405 34.2937

75 5 0.0595 0.7440 35.0377

76 4 0.0476 0.6032 35.6409

77 1 0.01 19 0.1528 35.7937

78 1 0.01 19 0.1548 35.9484

79 1 0.01 19 0.1567 36.1052

80 2 0.0238 0.3175 36.4226

81 3 0.0357 0.4821 36.9048

82 1 0.01 19 0.1627 37.0675

83 2 0.0238 0.3294 37.3968

84 0 0.0000 0.0000 37.3968 simultaneously as high-quality berth quantity s=100, the parking time-space distribution S that can be provided_p = 0.85xsxt₀ =

0.85X100X=14.1667 hours).By in parking demand statistical form with needed for the accumulation of each group parking time-space distribution ∑ Si compared with, it was found that in the 42nd group of data, when i.e. as when parking long ti=42 xl0=420min, it stops time-space distribution ∑ Si=13.7698 hour needed for accumulating, and is closest to and is no more than S_pThe group of=14.1667-hour.Accordingly, it is determined that the parking duration control threshold 1 of the parking area₎„ = 420^^_?1。

The Car park payment in common berth is 5 yuan/h in the known parking area, and part is based on 1 hour within less than 1 hour.Then a length of parking duration control threshold t as when parking_mWhen=420min, be parked in off-street parking lot Parking Fee be '=7hx5 member/h=35 yuan.Weighted average d=∑ ^ of garage's distance between high-quality berth and each garage's entrance of the parking area₌₁ β_η■ d_n =

■ 0.5 + -^- χ2 = 1 km ;

The weighted average d^ Z of garage's distance between the common berth 400+200 400+200 and each garage's entrance of parking area!^/ d!^ ^ x + ^ x : km.By formula ") calculate a length of t as when parking_mWhen, Car park payment of the vehicle parking at high-quality berth:

id' - d M (1.2 - 1 1.4\ ―

+ 2=35+25 Χ+2x of P ,=P/+α -=49.5 is towering

v_d v_w) \ 10 5 /

The Free parking duration ^=30min in high-quality berth is set, i.e., is free of charge when parking is no more than 30min in road-surface concrete position.Then a length of parking duration control threshold t as when parking_mWhen=420min, including unit charging duration t_QNumber N=^=1^2=39 of=lOmin.

t₀ 10

Meanwhile cost-oriented pricing method, the floor price of road-surface concrete position is 2 yuan/h at P1, i.e., in Free parking duration t₀The unit charging duration t of road-surface concrete position first after=30min_QThe charge of=lOmin_Pl=0.5 yuan.

Therefore, it is acquired by (4) formula_{Δρ =} ¾^2 = ^ ^2 _{= 0}.₀₄₀Member.Therefore, the parking price in the high-quality berth P1 is that preceding 30min is free, it charges 0.5 yuan more than first lOmin later, the paying price of each lOmin goes up 0.040 yuan than previous lOmin later, i.e. second lOmin charges 0.540 yuan, third lOmin charges 0.580 yuan, the 4th lOmin charges 0.620 yuan ... and so on, it is as shown in the table:

Meanwhile in order to encourage parking user to use by the reservation that APP carries out high-quality berth, for the user for high-quality berth parking of coming after being reserved in advance by APP, final Car park payment is to calculate in calculate price above 90%, that is, it is preferential to enjoy 9 foldings.On the day of parking, if the paying price in high-quality berth is adjusted in real time, the charge of subscriber does not also change, and still informs that its charging standard executes according to system when its reservation.Specific embodiment two

In the present embodiment, the possible embodiment of one foregoing invention is provided, it is equally parking area described in embodiment one, in the case of the quantity in the currently known high-quality berth being reserved by APP, parking rate of the same day suitable for not reserving vehicle is formulated for the high-quality berth in the parking area, and dynamic adjustment is carried out according to practical Parking situation.Implementation process is as follows:

1. by field survey, it is as follows to establish the parking area geological information table, as a result identical with embodiment one.

2. 10 minutes a length of when setting unit charging, charging in 10 minutes is pressed in part of the duration of stopping less than 10 minutes.

3. adjusting Check to obtain by sampling on the spot, entering the vehicle number of parking area from E1 daily in the parking area is 400, and the vehicle number for entering parking area from E2 is 200；Travel time value is 25 yuan/hour per capita in parking area；Vehicle average overall travel speed is 10km/h in parking area, and walking speed is 5km/h per capita.

Know in relevant mobile terminal APP, the quantity that high-quality berth in the parking area is subscribed is 60, Check is adjusted to obtain being used herein as APP and reserve the parking user number of high-quality parking stall accounting for about and stop the 10% of user's total number of persons herein by sampling on the spot simultaneously, duration of stopping is filled in when reserving；It is 500 by the historical experience value that the intelligent barrier gate data of parking lot P obtain parking vehicle number in parking area, known to parking duration distribution；An activity will be held in this day in the known parking area simultaneously, it is contemplated that the number of participant is 300 people, and the activity time is 9:00-11:00, select in participant before driving for number ratio be about 20%.

The vehicle number for having parking demand in this day in the parking area is predicted according to the method b) in step (3)

The vehicle number Q for having parking demand in the parking area

Berth number is reserved in=Α Ρ Ρ

The historical experience value of+parking vehicle arrival rate

X (ratio that l-Α Ρ Ρ subscriber accounts for all users)

The share ratio of the number of participant X car trip of template activity=60+300x20%=570 ()+500x (l -10%) in+parking area

4. there is the vehicle number Q of parking demand to be grouped in pair region by its duration t that stops, it is as follows to obtain parking demand statistical form: parking duration is averaged amount of reach q_QiStop time-space distribution needed for required parking resource accumulation

Number qi

(10min) (/lOmin) (a ' hour) ∑ s_;(■ hours a)

1 7 0.0833 0.0139 0.0139

LI

Z.OT8SO/9lOZai/X3d

Simultaneously as quantity s=100 in high-quality berth, the parking time-space distribution S that can be provided_p = 0.85 xsxt₀ =

100X=14.1667 0.85X hours).By in parking demand statistical form with needed for the accumulation of each group parking time-space distribution ∑ Si compared with, it was found that in the 41st group of data, when the i.e. as when parking x l0=410min of long ti=41, it stops time-space distribution ∑ Si=14.0357 hour needed for accumulating, and is closest to and is no more than S_pThe group of=14.1667-hour.Accordingly, it is determined that the parking duration control threshold 1 of the parking area₎„ = 410^^_?1。

The Car park payment in common berth is 5 yuan/h in the known parking area, and part is based on 1 hour within less than 1 hour.Then a length of parking duration control threshold t as when parking_mWhen=410min, be parked in off-street parking lot Parking Fee be '=7h x5 member/h=35 yuan.Weighted average d=∑ ^ of garage's distance between high-quality berth and each garage's entrance of the parking area₌₁ β_η■ d_n =

■X0.5 + -_T^_rr x2 = 1 km ;

The weighting of garage's distance is flat between the common berth 400+200 400+200 and each garage's entrance of parking area

A length of t_mWhen, Car park payment of the vehicle parking at high-quality berth:

=49.5 yuan

The Free parking duration ^=30min in high-quality berth is set, i.e., is free of charge when parking is no more than 30min in road-surface concrete position.Then a length of parking duration control threshold t as when parking_mWhen=410min, including unit charging duration t_QThe number 1^ of=Wmin₌ ^ = 112^ _{= 38}。

to 10

Therefore, it is acquired by (4) formula₌ ¾¾2 ₌ ¾ ^ _{= 0}.₀₄₃Member.Therefore, the parking price suitable for non-subscriber in the high-quality berth P1 is that preceding 30min is free, it charges 0.5 yuan more than first lOmin later, the paying price of each lOmin goes up 0.043 yuan than previous lOmin later, i.e. second lOmin charges 0.543 yuan, third lOmin charges 0.586 yuan, the 4th lOmin charges 0.629 yuan ... and so on, it is as shown in the table: Setting system real-time detection interval duration=1/ ι, that is every mistake 1 hour, by the actual vehicle number of the primary high-quality berth parking of detection and the at this time real-time occupancy ^ in high-quality berth automatically on intelligent barrier gate and video frequency car position detector, and it is reported to system, it is compared with prediction data and target value.Now by taking this day 09:00 testing result this time as an example, comparison procedure is illustrated.

09:00 detection is obtained within this period of 07:00-09:00 system by banister detection data in the morning, the actual vehicle sum to stop at high-quality berth is=120, by the testing number in 09:00 of video frequency car position detector it is reported that at this time 100 do and share 79 in high-quality berth, i.e. real-time occupancy=0.79 in high-quality berth at this time.

End 09:00, predicted required amount from starting operation 07:00 from high-quality berth Q_P = _ρχ | | Μ ^ = _560x I. = ₈₀, then have₁₂₀〉 _1Λ5χ80 = ₉₂, that is, it is unsatisfactory for ο .85 ρ_ρ≤ ≤ ι.ΐ5ρ_ρ.Therefore, need to predict the vehicle number Q for having parking demand in the parking area of remaining period on the same day again, it re-starts step (3) and recalculates the paying price in high-quality berth by new parameter to step (5), and issue parking price after update.Carry out the non-subscriber stopped from high-quality berth to update next time after 09:00, Car park payment will be executed according to updated charging standard.But the parking user to have marched into the arena, the charging standard announced when paying price is still marched into the arena according to it execute；Subscriber is still charged according to the charging standard informed in APP when its reservation.Specific embodiment three

In the present embodiment, the possible embodiment of a foregoing invention, parking area and known conditions are provided with described in embodiment two.Further the high-quality berth in high-quality berth parking lot P is classified according to conditions such as position, sizes now, differentiation price is implemented to different grades of high-quality berth.Specific implementation process is as follows:

Since parking area and implementation condition are identical with embodiment two, prior step is identical with embodiment two as result, obtain with high-quality berth under the conditions of not being classified price with parking duration variation it is as shown in the table: Now high-quality berth is classified.The inside of parking lot P where high-quality berth is flat and schemes as shown in figure 14.It is the high-quality berth of level-one that close entrance, elevator or payment machine and size are greater than remaining berth on position that berth 1. is identified in figure, mark berth 2. is that size is identical as most berths but on position close to the high-quality berth of second level of entrance, elevator or payment machine, and the berth not being identified is the high-quality berth of three-level.The equivalent coefficient in different grades of high-quality berth！^ setting is as shown in Figure 9.According to calculated in the equivalent coefficient and embodiment two it is resulting be not classified in the case of high-quality berth paying price, the Car park payment matrix in high-quality berth is as follows in the available parking area:

To in the real-time detection of the actual vehicle number to stop at high-quality berth and the real-time occupancy in high-quality berth, two indexs are all satisfied 0.85 ρ for 13 times of progress on the day of_ρ < Q_r < 1.15ρ_ρAnd 0.7 < O_r< 0.9.Therefore the charging standard that the same day high-quality berth is suitable for non-subscriber is pressed always above-mentioned price and is executed, and is not changed.

Claims

Claims

1. a kind of preferential short high-quality berth Dynamic Pricing method stopped, step include:

1) parking area geological information table is established；

2) unit charging duration is determined.；

3) characteristic of stopping in parking area is determined；

4) parking duration control threshold t is determined_m ;

5) high-quality berth parking price is determined；

6) it determines real-time detection interval duration ^, carries out real-time statistics and detection every real-time occupancy c of the ^ duration to the actual vehicle number and high-quality berth that stop at high-quality berth；

7) real-time detector data is compared with prediction data, the high-quality berth parking price of period after determining.

2. the preferential short high-quality berth Dynamic Pricing method stopped as described in claim 1, it is characterized in that, the parking area geological information table includes following data: garage distance d, each parking area garage entrance between the quantity m of garage's entrance of parking area, each parking area garage entrance and high-quality berth and garage's distance between common berth and the walking distance Ad between high-quality berth and common berth, these data are obtained by field survey.

3. the preferential short high-quality berth Dynamic Pricing method stopped as described in claim 1, which is characterized in that the unit charging duration i_QValue should meet 1 minute≤i_Q≤ 20 minutes.

4. the preferential short high-quality berth Dynamic Pricing method stopped as described in claim 1, it is characterized in that, parking characteristic includes the vehicle number Q for having parking demand in the parking area, the average speed in the parking duration parking area for the vehicle for having parking demand, average walking speed I7 in parking area in the parking area_WAnd the coefficient of sensitivity of price μ for user of stopping in parking area.

5. the preferential short high-quality berth Dynamic Pricing method stopped as claimed in claim 4, it is characterized in that, vehicle speed ^ i in the parking area, user of stopping in parking area average walking speed and parking area in parking user coefficient of sensitivity of price μ, be by the parking area sample investigation on the spot obtain.

6. the preferential short high-quality berth Dynamic Pricing method stopped as claimed in claim 4, which is characterized in that at least two first in acquisition following four related data:

Q) with parking vehicle number in parking area described in the period ( the historical experience value ^ of work and duration of stopping: refer to the data stored by intelligentized parking facility or manual record, it respectively obtains with period parking vehicle number at high-quality berth and common berth, sums to obtain parking vehicle number in the parking area to the two；The parking duration of each car is recorded simultaneously；It randomly selects more days record values and is averaged, the historical experience value of parking vehicle number historical experience value and duration of stopping in the as described parking area；Particularly, carry out historical data extraction statistics when, should by selection say the phase division of labor say, the situation that weekend and these three demand differences of special holidays are larger is counted respectively；B) the Real-Time Traffic Volume ρ of peripheral path_π: refer to by traffic management department or related professional third party publication, surround institute State the Real-Time Traffic Volume data of the road network on parking area periphery；C) the berth reservation data ρ on mobile terminal App_ω、 t_ra: refer to the quantity and period that the high-quality berth in the parking area is reserved on relevant mobile terminal application APP；D) the luring for template activity in parking area known to increases parking demand ρ, t_w: refer to the time held the participation number of the template activity of generation and activity in the parking area, lures the parking duration of the parking demand of increasing with activity to hold duration consistent.Using acquired data, the parking duration t:i that has the vehicle number Q of parking demand and have the vehicle of parking demand is calculated in the parking area by one of following three kinds of methods) the vehicle number Q for having parking demand in the parking area=

With the historical experience value Q of parking vehicle number in parking area described in the period！The number of participant ρ of template activity in+parking area_wThe share ratio of X car trip；Wherein the value of the share ratio of car trip is greater than 0.1 less than 0.3, is obtained by the sample investigation on the spot；Parking duration t in parking area lures the parking duration distribution superposition of parking demand of increasing to obtain by template activity in the historical experience value J and parking area of parking duration；Ii) the vehicle number Q for having parking demand in the parking area=

Berth number Q is reserved in APP_m+ with the historical experience value Q z X-of parking vehicle number in parking area described in the period

APP subscriber accounts for the ratio of all parking users) number of participant Q of template activity in+parking area_wThe share ratio of X car trip；Wherein APP subscriber, which accounts for the ratio of all users, is obtained by sample investigation, and the value of the share ratio of car trip is greater than 0.1 less than 0.3, is obtained by the sample investigation on the spot；Parking duration t in parking area is by the historical experience value of parking duration and the parking duration of the parking demand determined by historical data, APP reservation data_mTri- superpositions of parking duration ^ with the parking demand for luring increasing by template activity in parking area obtain；

Iii) vehicle number Q=peripheral path Real-Time Traffic Volume the ρ for having parking demand in the parking area_πHistorical experience value of the χ with parking vehicle number in parking area described in the period

The history average of the distribution of the parking duration t of aggregate demand and the Real-Time Traffic Volume of parking duration historical data experience peripheral path

The distribution t of value_TUnanimously.

7. the preferential short high-quality berth Dynamic Pricing method stopped as claimed in claim 6, which is characterized in that when determination is supplied to the high-quality berth price of subscriber, method i) as described in claim 6 should be used;When the reality for carrying out high-quality berth price When dynamic adjust when, method ii as described in claim 6 should be used) or method iii);The price adjusted in real time is only applicable to enter the non-subscriber in berth after price is issued, and for the parking user reserved, the charging standard that paying price is apprised of when still reserving according to it is executed.

8. the preferential short high-quality berth Dynamic Pricing method stopped as described in claim 1, which is characterized in that the parking duration control threshold 1₎It is determined according to the following steps:

(1) by by method i) in claim 6, ii), one of) iii there is the vehicle number Q of parking demand in the parking area determined by and have the parking duration t of the vehicle of parking demand, there to be the vehicle total amount Q of parking demand in the parking area by the parking duration t classified statistic for the vehicle for having parking demand, group is away from for unit charging duration t_Q, obtain a length of ti=ixt when the parking of i-th group of data_Q, vehicle number is_qi, the value range of i is the T/t of i=1,2,3₀, wherein T is total price duration；

(2) by i-th group of vehicle number_qi, i-th group of vehicle is calculated and is averaged every t_QThe amount of reach q of duration_Qi = ^;

(3) it is averaged every t by i-th group of vehicle₀The amount of reach q of duration_QiWith the parking duration ^ of i-th group of vehicle, the time-space distribution quantity=q that stops is calculated required for i-th group of vehicle_oiXt_{i ;}

(4) stop time-space distribution quantity Si, S as required for each group vehicle₂ S_{i ;}Stop needed for the accumulation of i group vehicle time-space distribution quantity ∑=Si+S before being calculated₂ +

(5) its parking time-space distribution 5 that can be provided is calculated by the Berth number s in high-quality berth_!? = 0.85xsxt₀ ;

(6) by ∑ S_{1 ;} ∑S₂The parking time-space distribution 5 that ∑ Si and high-quality berth can be provided_!?It is compared, finds out an i', so that ∑ S is closest but and is no more than S_p, group i' corresponding parking duration in place is the duration control threshold t that stops_m。

9. the preferential short high-quality berth Dynamic Pricing method stopped as described in claim 1, which is characterized in that the high-quality berth parking price is determined according to the following steps:

A length of parking duration control threshold t as when parking is calculated by known common berth Car park payment policy in (α)_mWhen, the parking price P in common berth_t' ;

(b) the Free parking duration t in high-quality berth is set_{/ ;}

(c) value at cost method determines high-quality berth Free parking duration t_fAfter first t.Paying price p i in duration；

(d) by a length of t as when parking_mWhen, the parking price P in common berth_t' and the parking area geological information table in data, by formula (1) calculating a length of t as when parking_mWhen, the Car park payment P at the berth Che Youzhi_t:

Wherein d' with formula (²) calculate, d with formula (³) calculate: d' =∑^₌₁ β_η - ά_η' (2)

ά =∑^₌₁ β_η - ά_η(3) wherein each symbol does meaning as shown in table in specification；By as when parking a length of 1₎When Car park payment of the vehicle parking at high-quality berth, the price increases variance Δ ρ in high-quality berth is calculated by formula (4):

Wherein N=", each symbol do meaning as shown in table in specification for=2 (^) (4)；

(f) by high-quality berth Free parking duration t_fAfter first t.The paying price of duration₁With the price increases variance Δ ρ in high-quality berth, the η t after high-quality berth Free parking duration ^ is calculated by formula (5).The paying price of duration

Vn -

10. the preferential short high-quality berth Dynamic Pricing method stopped as described in claim 1, it is characterized in that, the high-quality berth parking price should be by the way that resulting parking price is calculated multiplied by the coefficient of sensitivity of price μ for user of stopping in the parking area, value should meet 1 < μ≤1.5.

11. the preferential short high-quality berth Dynamic Pricing method stopped as described in claim 1, which is characterized in that the high-quality berth Car park payment carries out discount to the parking user reserved in advance.

12. the preferential short high-quality berth Dynamic Pricing method stopped as described in claim 1, it is characterized in that, the high-quality berth Car park payment is when high-quality berth number is more, according to the difference of the conditions such as position, facility, size between different high-quality berths, high-quality berth is classified；By obtaining high-quality berth charge matrix to resulting parking price is calculated multiplied by different high-quality berth equivalent coefficients.

13. the preferential short high-quality berth Dynamic Pricing method stopped as described in claim 1, it is characterized in that, the real-time occupancy ^ of the actual vehicle number and high-quality berth that stop at the high-quality berth is the real time information collected using at least one of intelligent barrier gate, video frequency car position detector, infrared parking lot detector, microwave parking lot detector or geomagnetic induction coil intelligent parking facility, these information are primary every duration collection；The actual vehicle number ρ ^ to stop at the high-quality berth refers to the moment instantly from pricing period initial time to real-time detection, the actual vehicle number to stop at high-quality berth；The real-time occupancy in high-quality berth refers to the ratio of current time occupied high-quality berth number and high-quality berth total amount.

14. the preferential short high-quality berth Dynamic Pricing method stopped as described in claim 1, it is characterized in that, described is compared real-time detector data with prediction data, and the judgment criteria of the high-quality berth parking price of period is after determining: 0.85Q_p≤ Q_r≤ 1.15ρ_ρAnd 0.7≤O_r≤ 0.9, wherein from pricing period starting to the predicted required amount at current time

_{QP = Q X}From the duration of price_;If meeting this standard, original toll project is constant；If not satisfied, then needing the step of re-executing described in claim 1 (3) to step (5), relevant parameter is updated, formulates and issues new toll project.