[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

CN104809870A - Viaduct entrance ramp traffic congestion grade estimation method - Google Patents

Viaduct entrance ramp traffic congestion grade estimation method Download PDF

Info

Publication number
CN104809870A
CN104809870A CN201510170173.2A CN201510170173A CN104809870A CN 104809870 A CN104809870 A CN 104809870A CN 201510170173 A CN201510170173 A CN 201510170173A CN 104809870 A CN104809870 A CN 104809870A
Authority
CN
China
Prior art keywords
entrance ramp
traffic
overpass
jam level
data
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201510170173.2A
Other languages
Chinese (zh)
Inventor
丁镇
冉艳
邹娇
董婉丽
徐戚
戴波
胡涛
姬晓波
李绍甫
孙晓静
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Anhui Sun Create Electronic Co Ltd
Original Assignee
Anhui Sun Create Electronic Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Anhui Sun Create Electronic Co Ltd filed Critical Anhui Sun Create Electronic Co Ltd
Priority to CN201510170173.2A priority Critical patent/CN104809870A/en
Publication of CN104809870A publication Critical patent/CN104809870A/en
Pending legal-status Critical Current

Links

Landscapes

  • Traffic Control Systems (AREA)

Abstract

The present invention relates to a kind of overpass Entrance ramp traffic jam level estimation methods, comprising: obtains the device data of lift height-limiting frame, which includes Entrance ramp data on flows; According to Entrance ramp data on flows, multilane one direction total flow in a collection period is calculated, takes within one month multilane one direction total flow corresponding to all collection period as sample set; Sample set is pre-processed, the exceptional value in Rejection of samples set; Calculate the critical value of sample set , according to critical value Calculate the traffic behavior coefficient k of Entrance ramp; Traffic congestion index TCI is calculated according to the traffic behavior coefficient k of Entrance ramp; The traffic jam level of overpass Entrance ramp is estimated according to traffic congestion index TCI. The present invention realizes the jam level of quantization overpass Entrance ramp using this equipment of lift height-limiting frame, provides the quantitative information of jam level for overpass manager and driver, to realize that the unimpeded trip of overpass proposes new solution.

Description

A kind of overpass Entrance ramp traffic jam level method of estimation
Technical field
The present invention relates to urban viaduct Information Collecting & Processing technical field, especially a kind of overpass Entrance ramp traffic jam level method of estimation.
Background technology
Along with city size expand quick propelling, overpass system plays the part of an important role in whole Traffic Systems, in China, increasing city in the overpass system of Erecting and improving, as Beijing, Shanghai, Shenzhen, Hefei etc.But overpass system cost cost is high, for ensureing its service efficiency and security, in general, special type motor vehicle, medium-heavy truck, carrying hazardous product vehicle No entry overpass, especially overload and oversize vehicle; Meanwhile, the oversize vehicle speed of a motor vehicle is comparatively slow, it is comparatively large to take up room, and can have influence on the traffic efficiency of road in rush hour.
Overpass traffic has the advantages that flow is large, close, if driver's misjudgment, sails the ring road that blocks up into, just can only select to wait for, can cause a large amount of travel time losses like this.At present temporarily without the method quantized overpass Entrance ramp traffic jam level; often can there is the jam situation misjudgment of driver to overpass Entrance ramp and sail the ring road that blocks up into; and then make the traffic of overpass part travel direction when evening peak morning be in the state being close to paralysis, therefore the Entrance ramp of an overpass intuitively traffic jam level quantized is the information that overpass supvr and driver need in a hurry.
Lift height-limiting frame is a kind of facility of the intelligent limit for height management of incipient novel overpass, also be the facility that in current viaduct system, function is the most complete, it integrates equipment such as controlling assembly, induction, video, electronic police, achieve wagon detector, the control of ring road signal, interaction between variable induced screen, video monitoring equipment, be mainly overhead up ring road and grade separation according to actual management demand, limit for height is provided to control, to ensure the normal use of overpass.Meanwhile, lift height-limiting frame can obtain the telecommunication flow information of the Entrance ramp of each overpass, by can excavate the Entrance ramp jam level situation of whole viaduct system to these information analysis process, and then provide basis for block up management, traffic organization of the intellectuality realizing overpass.At present, there is no utilize lift height-limiting frame data to assess the traffic jam level of overpass Entrance ramp method occur.
Summary of the invention
The object of the present invention is to provide a kind of jam level utilizing lift height-limiting frame to realize quantification overpass Entrance ramp, be convenient to the overpass Entrance ramp traffic jam level method of estimation of the management of overpass and the routing of driver.
For achieving the above object, present invention employs following technical scheme: a kind of overpass Entrance ramp traffic jam level method of estimation, the method comprises the step of following order:
(1) obtain the device data of lift height-limiting frame, these data comprise Entrance ramp data on flows;
(2) according to Entrance ramp data on flows, calculate multilane one direction total flow in a collection period, get multilane one direction total flow within one month corresponding to all collection period as sample set, be designated as
X={x 1,x 2......x n};
(3) pre-service is carried out to sample set, the exceptional value in Rejection of samples set;
(4) sample set X={x is calculated 1, x 2... x ncritical value x c, according to critical value x ccalculate the traffic behavior coefficient k of Entrance ramp;
(5) traffic congestion index TCI is calculated according to the traffic behavior coefficient k of Entrance ramp;
(6) traffic jam level of overpass Entrance ramp is estimated according to traffic congestion index TCI.
The device data of described lift height-limiting frame comprises device numbering, present position numbering, ring road title and Entrance ramp data on flows.
The scope of a described collection period is 10 minutes ~ 15 minutes, and multilane one direction total flow is obtained the summation of the one direction flow in each track.
Describedly pre-service is carried out to sample set refer to, threshold interval (0, M is set sV], the data x in judgement sample set nthreshold interval (0, the M whether set sV] in, if x n∈ (0, M sV], then retain this sample data, if then reject this sample data; Described M sVbe the one-lane theoretical maximum service volume of this Entrance ramp, its computing formula is as follows:
M sVthe track number that=2100 × Entrance ramp comprises
Wherein, 2100 is the one-lane maximum service volumes of Entrance ramp, and its unit is pcu/ (h*ln).
Critical value x is obtained by following formula c:
x c = x ‾ + α * σ
Wherein: sample set X={x 1, x 2... x naverage, its computing formula is as follows:
x ‾ = Σ i = 1 n x i / n
σ is sample set X={x 1, x 2... x nvariance, its computing formula is as follows:
σ = Σ i = 1 n ( x i - x ‾ ) 2 / n
The value of α is relevant with degree of confidence, when degree of confidence gets 95%, and α=1.96; When degree of confidence gets 99%,
α=2.57; Getting degree of confidence at this is 95%, α=1.96;
The Entrance ramp data on flows of Real-time Collection lift height-limiting frame, calculates multilane one direction total flow x in the Real-time Collection cycle of Entrance ramp, the traffic behavior coefficient k by following formulae discovery Entrance ramp:
k=x/x c
With traffic behavior coefficient k for radix, adopt the form calculus traffic congestion index TCI of piecewise function, computing formula is as follows:
TCI = 5 k k < 1 5 k = 1 5 + ( k - 1 ) * 5 1 < k < 2 10 k &GreaterEqual; 2 .
According to traffic congestion index TCI and table 1, table 1 is as follows:
Table 1
Table 1 is traffic congestion index TCI and traffic jam level mapping table.
As shown from the above technical solution, advantage of the present invention is as follows: first, lift height-limiting frame technology is compared traditional checkout equipment, have that function is many, dependable performance, integrated height, integration feature, while Information Monitoring, distributed intelligence that can be synchronous, also synchronously traffic control can be realized, namely higher once overpass jam level, lift height-limiting frame automatically can decline and carry out the damming of Entrance ramp, current limliting, shunting, carries out control; The second, after estimation traffic jam level, these jam level information can be passed to traffic administration person, judge whether that needs carry out intervention traffic to an one numerical value quantized; Simultaneously by jam level Information issued to driver, the jam situation that driver is different according to Entrance ramp, selects the shortest path consuming time, proposes new solution for realizing the unimpeded trip of overpass.
Accompanying drawing explanation
Fig. 1 is method flow diagram of the present invention;
Fig. 2 is the relation schematic diagram of traffic congestion index TCI and traffic behavior coefficient k.
Embodiment
As shown in Figure 1, a kind of overpass Entrance ramp traffic jam level method of estimation, comprising: (1) obtains the device data of lift height-limiting frame, and these data comprise Entrance ramp data on flows; (2) according to Entrance ramp data on flows, calculate multilane one direction total flow in a collection period, get multilane one direction total flow within one month corresponding to all collection period as sample set, be designated as X={x 1, x 2... x n; (3) pre-service is carried out to sample set, the exceptional value in Rejection of samples set; (4) sample set X={x is calculated 1, x 2... x ncritical value x c, according to critical value x ccalculate the traffic behavior coefficient k of Entrance ramp; (5) traffic congestion index TCI is calculated according to the traffic behavior coefficient k of Entrance ramp; (6) traffic jam level of overpass Entrance ramp is estimated according to traffic congestion index TCI.The device data of described lift height-limiting frame comprises device numbering, present position numbering, ring road title and Entrance ramp data on flows.The scope of a described collection period is 10 minutes ~ 15 minutes, and multilane one direction total flow is obtained the summation of the one direction flow in each track.
As shown in Figure 1, describedly pre-service is carried out to sample set refer to, threshold interval (0, M is set sV], the data x in judgement sample set nthreshold interval (0, the M whether set sV] in, if x n∈ (0, M sV], then retain this sample data, if then reject this sample data; Described M sVbe the one-lane theoretical maximum service volume of this Entrance ramp, its computing formula is as follows:
M sVthe track number that=2100 × Entrance ramp comprises
Wherein, 2100 is the one-lane maximum service volumes of Entrance ramp, and its unit is pcu/ (h*ln).Rejecting abnormalities value is that the collector carried due to lift height-limiting frame equipment may occur abnormal data in links such as information acquisition, parsing, Internet Transmissions and need to reject, precision to ensure that the method.
Critical value x is obtained by following formula c:
x c = x &OverBar; + &alpha; * &sigma;
Wherein: sample set X={x 1, x 2... x naverage, its computing formula is as follows:
x &OverBar; = &Sigma; i = 1 n x i / n
σ is sample set X={x 1, x 2... x nvariance, its computing formula is as follows:
&sigma; = &Sigma; i = 1 n ( x i - x &OverBar; ) 2 / n
The value of α is relevant with degree of confidence, when degree of confidence gets 95%, and α=1.96; When degree of confidence gets 99%,
α=2.57; Getting degree of confidence at this is 95%, α=1.96; Visible, the present invention obtains critical value with history value and sample data, when the traffic environment of road changes, during the newly-built community of such as periphery, needs Resurvey sample data, to obtain critical value more accurately.
The Entrance ramp data on flows of Real-time Collection lift height-limiting frame, calculates multilane one direction total flow x in the Real-time Collection cycle of Entrance ramp, the traffic behavior coefficient k by following formulae discovery Entrance ramp:
k=x/x c
As shown in Figure 2, with traffic behavior coefficient k for radix, adopt the form calculus traffic congestion index TCI of piecewise function, computing formula is as follows:
TCI = 5 k k < 1 5 k = 1 5 + ( k - 1 ) * 5 1 < k < 2 10 k &GreaterEqual; 2 .
According to traffic congestion index TCI and table 1, table 1 is as follows:
Table 1
Table 1 is traffic congestion index TCI and traffic jam level mapping table.
After estimation traffic jam level, one is these jam level information can be passed to traffic administration person, judges whether that needs carry out intervention traffic to an one numerical value quantized; Two is by jam level Information issued to driver, and the jam situation that driver is different according to Entrance ramp selects the shortest path consuming time.Such as, driver under normal circumstances, overpass is entered apart from the shortest by Entrance ramp 1, but the congestion index TCI of Entrance ramp is 10, is in congestion level, in the case, driver may select congestion index TCI less, the Entrance ramp 2 that jam level is lower or Entrance ramp 3 enter overpass, have so both saved hourage, and turn avoid aggravation of blocking up.
The present invention utilizes this equipment of lift height-limiting frame to realize quantizing the jam level of overpass Entrance ramp, take full advantage of the characteristic of lift height-limiting frame equipment, simultaneously also for overpass supvr and driver provide the quantitative information of jam level, being convenient to the reason selecting paths of management that supvr shoots the arrow at the target and driver, proposing new solution for realizing the unimpeded trip of overpass.

Claims (7)

1. an overpass Entrance ramp traffic jam level method of estimation, the method comprises the step of following order:
(1) obtain the device data of lift height-limiting frame, these data comprise Entrance ramp data on flows;
(2) according to Entrance ramp data on flows, calculate multilane one direction total flow in a collection period, get multilane one direction total flow within one month corresponding to all collection period as sample set, be designated as X={x 1, x 2... x n;
(3) pre-service is carried out to sample set, the exceptional value in Rejection of samples set;
(4) sample set X={x is calculated 1, x 2... x ncritical value x c, according to critical value x ccalculate the traffic behavior coefficient k of Entrance ramp;
(5) traffic congestion index TCI is calculated according to the traffic behavior coefficient k of Entrance ramp;
(6) traffic jam level of overpass Entrance ramp is estimated according to traffic congestion index TCI.
2. overpass Entrance ramp traffic jam level method of estimation according to claim 1, is characterized in that: the device data of described lift height-limiting frame comprises device numbering, present position numbering, ring road title and Entrance ramp data on flows.
3. overpass Entrance ramp traffic jam level method of estimation according to claim 1, is characterized in that: the scope of a described collection period is 10 minutes ~ 15 minutes, and multilane one direction total flow is obtained the summation of the one direction flow in each track.
4. overpass Entrance ramp traffic jam level method of estimation according to claim 1, is characterized in that: describedly carry out pre-service to sample set and refer to, arranges threshold interval (0, M sV], the data x in judgement sample set nthreshold interval (0, the M whether set sV] in, if x n∈ (0, M sV], then retain this sample data, if then reject this sample data; Described M sVbe the one-lane theoretical maximum service volume of this Entrance ramp, its computing formula is as follows:
M sVthe track number that=2100 × Entrance ramp comprises
Wherein, 2100 is the one-lane maximum service volumes of Entrance ramp, and its unit is pcu/ (h*ln).
5. overpass Entrance ramp traffic jam level method of estimation according to claim 1, is characterized in that: obtain critical value x by following formula c:
x c = x &OverBar; + &alpha; * &sigma;
Wherein: sample set X={x 1, x 2... x naverage, its computing formula is as follows:
x &OverBar; = &Sigma; i = 1 n x i / n
σ is sample set X={x 1, x 2... x nvariance, its computing formula is as follows:
&sigma; = &Sigma; i = 1 n ( x i - x &OverBar; ) 2 / n
The value of α is relevant with degree of confidence, when degree of confidence gets 95%, and α=1.96; When degree of confidence gets 99%,
α=2.57; Getting degree of confidence at this is 95%, α=1.96;
The Entrance ramp data on flows of Real-time Collection lift height-limiting frame, calculates multilane one direction total flow x in the Real-time Collection cycle of Entrance ramp, the traffic behavior coefficient k by following formulae discovery Entrance ramp:
k=x/x c
6. overpass Entrance ramp traffic jam level method of estimation according to claim 1, is characterized in that: with traffic behavior coefficient k for radix, and adopt the form calculus traffic congestion index TCI of piecewise function, computing formula is as follows:
TCI = 5 k k < 1 5 k = 1 5 + ( k - 1 ) * 5 1 < k < 2 10 k &GreaterEqual; 2 .
7. overpass Entrance ramp traffic jam level method of estimation according to claim 1, is characterized in that: according to traffic congestion index TCI and table 1, table 1 is as follows:
Table 1
Table 1 is traffic congestion index TCI and traffic jam level mapping table.
CN201510170173.2A 2015-04-10 2015-04-10 Viaduct entrance ramp traffic congestion grade estimation method Pending CN104809870A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201510170173.2A CN104809870A (en) 2015-04-10 2015-04-10 Viaduct entrance ramp traffic congestion grade estimation method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201510170173.2A CN104809870A (en) 2015-04-10 2015-04-10 Viaduct entrance ramp traffic congestion grade estimation method

Publications (1)

Publication Number Publication Date
CN104809870A true CN104809870A (en) 2015-07-29

Family

ID=53694666

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201510170173.2A Pending CN104809870A (en) 2015-04-10 2015-04-10 Viaduct entrance ramp traffic congestion grade estimation method

Country Status (1)

Country Link
CN (1) CN104809870A (en)

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105931463A (en) * 2016-06-27 2016-09-07 安徽四创电子股份有限公司 Method for calculating road traffic performance index based on traffic surface radar
CN107765551A (en) * 2017-10-25 2018-03-06 河南理工大学 A kind of city expressway On-ramp Control method
CN108564789A (en) * 2018-06-11 2018-09-21 重庆大学 Expressway ramp up-downlink direction flow estimation method based on charge station's data
CN110276951A (en) * 2019-06-26 2019-09-24 朱志强 One kind being based on mobile Internet Congestion prediction method
CN111540198A (en) * 2020-04-17 2020-08-14 浙江工业大学 Urban traffic situation recognition method based on directed graph convolution neural network
CN115162232A (en) * 2022-07-12 2022-10-11 浙大城市学院 Overhead current limiting device and method based on intelligent traffic

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN2711830Y (en) * 2004-07-19 2005-07-20 上海市市政工程管理处 Vehicle check device for urban overhead road
CN102201021A (en) * 2011-04-27 2011-09-28 天津市市政工程设计研究院 Expressway aided design system
KR20110113253A (en) * 2010-04-09 2011-10-17 주식회사 웨텍 Control system and method of smart highway ramp
JP2014153903A (en) * 2013-02-08 2014-08-25 Hanshin Expressway Engineering Co Ltd Road measurement device
CN104021672A (en) * 2014-06-09 2014-09-03 北京世纪高通科技有限公司 Method and device for obtaining traffic jam index
CN104464294A (en) * 2014-12-17 2015-03-25 合肥革绿信息科技有限公司 Method and device for evaluating road segment traffic state based on array radar
CN104464295A (en) * 2014-12-17 2015-03-25 合肥革绿信息科技有限公司 Intelligent traffic control method and device for elevated road entrance ramps based on video
CN104484994A (en) * 2014-12-17 2015-04-01 合肥革绿信息科技有限公司 Urban road network traffic operation index evaluation method and device based on array radar

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN2711830Y (en) * 2004-07-19 2005-07-20 上海市市政工程管理处 Vehicle check device for urban overhead road
KR20110113253A (en) * 2010-04-09 2011-10-17 주식회사 웨텍 Control system and method of smart highway ramp
CN102201021A (en) * 2011-04-27 2011-09-28 天津市市政工程设计研究院 Expressway aided design system
JP2014153903A (en) * 2013-02-08 2014-08-25 Hanshin Expressway Engineering Co Ltd Road measurement device
CN104021672A (en) * 2014-06-09 2014-09-03 北京世纪高通科技有限公司 Method and device for obtaining traffic jam index
CN104464294A (en) * 2014-12-17 2015-03-25 合肥革绿信息科技有限公司 Method and device for evaluating road segment traffic state based on array radar
CN104464295A (en) * 2014-12-17 2015-03-25 合肥革绿信息科技有限公司 Intelligent traffic control method and device for elevated road entrance ramps based on video
CN104484994A (en) * 2014-12-17 2015-04-01 合肥革绿信息科技有限公司 Urban road network traffic operation index evaluation method and device based on array radar

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105931463A (en) * 2016-06-27 2016-09-07 安徽四创电子股份有限公司 Method for calculating road traffic performance index based on traffic surface radar
CN107765551A (en) * 2017-10-25 2018-03-06 河南理工大学 A kind of city expressway On-ramp Control method
CN108564789A (en) * 2018-06-11 2018-09-21 重庆大学 Expressway ramp up-downlink direction flow estimation method based on charge station's data
CN110276951A (en) * 2019-06-26 2019-09-24 朱志强 One kind being based on mobile Internet Congestion prediction method
CN110276951B (en) * 2019-06-26 2020-11-13 朱志强 Traffic jam early warning method based on mobile internet
CN111540198A (en) * 2020-04-17 2020-08-14 浙江工业大学 Urban traffic situation recognition method based on directed graph convolution neural network
CN115162232A (en) * 2022-07-12 2022-10-11 浙大城市学院 Overhead current limiting device and method based on intelligent traffic
CN115162232B (en) * 2022-07-12 2023-11-21 浙大城市学院 Overhead current limiting device and method based on intelligent traffic

Similar Documents

Publication Publication Date Title
CN104809870A (en) Viaduct entrance ramp traffic congestion grade estimation method
CN102855760B (en) On-line queuing length detection method based on floating vehicle data
CN104575051B (en) Viaduct ramp intelligent signal control method and device based on array radars
CN104318770A (en) Method for detecting traffic jam state of expressway in real time based on mobile phone data
CN109509369B (en) Intelligent parking space monitoring method and system and urban comprehensive intelligent traffic system
CN105513359A (en) Method for estimating city expressway traffic states based on mobile detection of smartphones
CN106816009B (en) Highway real-time traffic congestion road conditions detection method and its system
CN104658285A (en) Intelligent traffic smoothing method in urban inland inundation
CN101540099A (en) Method and system for judging road traffic states
CN104751642A (en) Real-time estimating method for high-grade road traffic flow running risks
CN101794518B (en) Fast road ramp control signal lamp system and operating method thereof
CN104750963A (en) Intersection delay time estimation method and device
CN106023590A (en) Method and system for rapidly detecting congestion of internal area of urban road intersection
CN108447265A (en) Road traffic accident stain section discrimination method based on TOPSIS methods
CN104778839A (en) Urban road downstream directional traffic state judgment method based on video detector
CN101540101A (en) Method and system for detecting road traffic incidents
CN109377771B (en) Demand judgment method and device for arranging external left-turn lane at signalized intersection
CN104809869A (en) Viaduct entrance ramp traffic state identifying method based on lifting height limiting rack
CN104794896A (en) Automatic viaduct congestion space hotspot extracting method based on lifting type height limiting frames
Hubbard et al. Integration of real-time pedestrian performance measures into existing infrastructure of traffic signal system
CN103914984B (en) A kind of urban road traffic state analytical approach based on unit-interval cooperation
CN108447276B (en) Cross signal machine control method based on geomagnetism
CN105702034B (en) Intelligent traffic administration system based on monocular vision and route information method for pushing and system
CN105070060A (en) Method for determining urban road traffic state based bus-mounted GPS data
CN205247622U (en) Vehicle length monitoring system that lines up

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
EXSB Decision made by sipo to initiate substantive examination
SE01 Entry into force of request for substantive examination
WD01 Invention patent application deemed withdrawn after publication
WD01 Invention patent application deemed withdrawn after publication

Application publication date: 20150729