CN108335496B - City-level traffic signal optimization method and system - Google Patents
City-level traffic signal optimization method and system Download PDFInfo
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- CN108335496B CN108335496B CN201810001579.1A CN201810001579A CN108335496B CN 108335496 B CN108335496 B CN 108335496B CN 201810001579 A CN201810001579 A CN 201810001579A CN 108335496 B CN108335496 B CN 108335496B
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Abstract
The invention discloses a method and a system for optimizing urban traffic signals, wherein the method comprises the following steps: the method comprises the steps of determining whether a current urban subarea is reasonable according to the signal cycle time, the spatial position and the traffic flow of the intersection on a main road, determining whether a subarea control strategy is reasonable when the current urban subarea is reasonable, determining whether optimized space exists in road section coordination or not if the subarea control strategy is reasonable, determining whether the intersection needs to be optimized if the road section coordination does not have the optimized space, and performing signal control, traffic organization and traffic order optimization on the intersection if the intersection needs to be optimized, so that traffic signal optimization is realized at the whole urban level, traffic jam is relieved, meanwhile, signal optimization can be specifically executed, the optimization efficiency of optimization technicians is improved, and the orderly development of signal optimization work is ensured.
Description
Technical Field
The embodiment of the invention relates to the field of traffic signal control, in particular to a method and a system for optimizing an urban-level traffic signal.
Background
With the rapid development of economy, the urbanization level is continuously improved, vehicles on urban roads are continuously increased, frequent congestion becomes very common, 1/3 urban peak commuting in China is threatened by congestion, and traffic congestion tends to spread from a two-wire city to a three-four-wire city. Signal control is an important technical means for relieving urban traffic congestion, but most urban signal control systems or equipment are not effectively used, signal optimization mainly takes traffic congestion points and key intersection sections as main parts, and urban-level traffic signal optimization methods and theories are not mature.
Disclosure of Invention
The embodiment of the invention provides an urban traffic signal optimization method, which is used for solving the problems of urban traffic jam, crossing optimization steps and unclear judgment indexes.
The embodiment of the invention provides an urban traffic signal optimization method, which comprises the following steps:
determining theoretical urban zoning according to signal cycle duration, space positions and traffic flow of an intersection on a trunk road; the signal lamp period duration refers to the time required by the signal lamp to display a cycle according to a set phase sequence; the spatial position refers to the longitude and latitude of the intersection; the traffic flow refers to the number of vehicles passing in unit time;
determining whether the current urban sub-partitioned area is reasonable or not according to the theoretical urban sub-partitioned area;
when the current city sub-block is determined to be reasonable, determining whether the block control strategy is reasonable according to road conditions, traffic flow, signal control and traffic organization; the road condition refers to the geometric composition condition and the along-the-way condition of the road; the geometric composition conditions of the road comprise lane width, lane number, intersection distance, road shape lines, sight distance and gradient; the along-the-road condition refers to the degree of kernelization along the road;
when the district control strategy is determined to be reasonable, determining a road section coordination index according to the average travel speed and the average parking rate of each coordinated road section, and determining whether the road section coordination index is greater than a first threshold value;
when the road section coordination index is determined to be larger than the first threshold, determining whether the intersection of the coordination road section needs to be optimized according to the queue length of the intersection of the coordination road section, the occupancy rate of the intersection of the coordination road section and the saturation of the intersection of the coordination road section; the queuing length is the maximum congestion distance of the road section at the moment of turning on the green light; the occupancy rate is the ratio of the time required for all vehicles to pass through the measuring section within a certain time to the observation time; the saturation is the ratio of the traffic flow and the traffic capacity of the key lane corresponding to the phase;
and when determining that the intersection of the coordinated road section needs to be optimized, performing signal control, traffic organization or traffic order optimization on the intersection of the coordinated road section.
Optionally, when it is determined that the current city zoning is unreasonable, the theoretical city zoning is taken as the current city zoning.
Specifically, the determining a theoretical urban zoning area according to the signal cycle duration, the spatial position and the traffic flow of the intersection on the trunk road comprises the following steps:
determining an intersection set L, wherein L is (l)1，…，ln)T，liIs (l)i1，…，lij)，i＝1，2，…,n；lijRepresentation description intersection liThe number of jth feature of (a);
determining a first matrix of the intersection set L according to the signal cycle duration, the spatial position and the traffic flow of each intersection in the intersection set L, wherein the first matrix needs to accord with a formula (1);
the formula (1) is:
where L' is the first matrix, xiFor intersection liLongitude, y ofiFor intersection liDimension (d); c. CiFor intersection liThe signal lamp period duration; q. q.siFor intersection liThe traffic flow of (2);
determining a similarity coefficient r of a first matrix of the intersection set L according to a maximum-minimum methodijGenerating a fuzzy similar matrix of the intersection set L, wherein the fuzzy similar matrix needs to accord with a formula (2);
the formula (2) is:
wherein r isijFor intersection liAnd ljA similarity coefficient of 0. ltoreq. rij≤1；i，j＝1，…，n；
Determining a fuzzy equivalent matrix of the intersection set L according to the fuzzy similar matrix of the intersection set L;
obtaining the classification of the intersection set L according to the fuzzy equivalent matrix of the intersection set L and a preset lambda value, and determining a lambda threshold corresponding to the optimal classification of the intersection set L to obtain a theoretical urban zoning.
Optionally, the determining of the road section coordination index according to the average travel speed and the average stop rate of each coordinated road section needs to conform to a formula (3);
the formula (3) is:
wherein I is a road section coordination index, SiThe total number of times of stopping for the ith vehicle passing through all the coordination intersections, n is the number of intersections in the trunk coordination direction, ViAverage travel speed, V, for the i-th vehicleLimit ofFor the road segment to limit the speed, α, β are coefficients, and m is the number of vehicles participating in the survey sample.
Correspondingly, the embodiment of the invention also provides an urban traffic signal optimization system, which comprises:
the planning module is used for determining a theoretical city zoning according to the signal period duration, the space position and the traffic flow of the intersection on the trunk road; the signal lamp period duration refers to the time required by the signal lamp to display a cycle according to a set phase sequence; the spatial position refers to the actual distance between intersections; the traffic flow refers to the number of vehicles passing in unit time;
the judgment module is used for determining whether the current urban sub-partitioned area is reasonable or not according to the theoretical urban sub-partitioned area;
the parcel control module is used for determining whether the parcel control strategy is reasonable or not according to road conditions, traffic flow, signal control and traffic organization when the current city parcel is determined to be reasonable; the road condition refers to the geometric composition condition and the along-the-way condition of the road; the geometric composition conditions of the road comprise lane width, lane number, intersection distance, road shape lines, sight distance and gradient; the along-the-road condition refers to the degree of kernelization along the road;
the road section coordination module is used for determining a road section coordination index according to the average travel speed and the average parking rate of each coordinated road section and determining whether the road section coordination index is greater than a first threshold value or not when the district control strategy is determined to be reasonable; when the road section coordination index is determined to be larger than the first threshold value, determining whether the intersection of the coordination road section needs to be optimized or not according to the queue length of the intersection of the coordination road section, the occupancy rate of the intersection of the coordination road section and the saturation of the intersection of the coordination road section; the queuing length is the maximum congestion distance of the road section at the moment of turning on the green light; the occupancy rate is the ratio of the time required for all vehicles to pass through the measuring section within a certain time to the observation time; the saturation is the ratio of the traffic flow of the key lane corresponding to the phase to the traffic capacity;
and the intersection optimization module is used for performing signal control, traffic organization and traffic order optimization on the intersection of the coordinated road section when the intersection of the coordinated road section needs to be optimized.
Optionally, the planning module regards the theoretical city zoning as the current city zoning when it is determined that the current city zoning is unreasonable.
Preferably, the planning module is configured to determine a theoretical urban zoning area according to the signal cycle duration, the spatial position and the traffic flow at the intersection on the trunk road, and includes:
determining an intersection set L, wherein L is (l)1，…，ln)T，liIs (l)i1，…，lij)，i＝1，2，…,n；lijRepresentation description intersection liThe number of jth feature of (a);
determining a first matrix of the intersection set L according to the signal cycle duration, the spatial position and the traffic flow of each intersection in the intersection set L, wherein the first matrix needs to accord with a formula (1);
the formula (1) is:
where L' is the first matrix, xiFor intersection liLongitude, y ofiFor intersection liDimension (d); c. CiFor intersection liSignal light period of (2); q. q.siFor intersection liThe traffic flow of (2);
determining a similarity coefficient r of a first matrix of the intersection set L according to a maximum-minimum methodijGenerating a fuzzy similar matrix of the intersection set L, wherein the second fuzzy similar matrix needs to accord with a formula (2);
the formula (2) is:
wherein r isijFor intersection liAnd ljA similarity coefficient of 0. ltoreq. rij≤1；i，j＝1，…，n；
Determining a fuzzy equivalent matrix of the intersection set L according to the fuzzy similar matrix of the intersection set L;
obtaining the classification of the intersection set L according to the fuzzy equivalent matrix of the intersection set L and a preset lambda value, and determining a lambda threshold corresponding to the optimal classification of the intersection set L to obtain a theoretical urban zoning.
Preferably, the road section coordination module is used for determining that the road section coordination index needs to accord with a formula (3) according to the average travel speed and the average parking rate of each coordinated road section;
the formula (3) is:
wherein I is a road section coordination index, SiFor the ith vehicle to pass through all coordinated intersectionsTotal number of stops, n being the number of crossroads in the trunk coordination direction, ViAverage travel speed, V, for the i-th vehicleLimit ofFor the road segment to limit the speed, α, β are coefficients, and m is the number of vehicles participating in the survey sample.
Correspondingly, an embodiment of the present invention further provides a computing device, including:
a memory for storing program instructions;
and the processor is used for calling the program instructions stored in the memory and executing the city-level traffic signal optimization method according to the obtained program.
Accordingly, the embodiment of the present invention further provides a computer storage medium, where the computer storage medium stores computer-executable instructions, and the computer-executable instructions are used to enable a computer to execute the above method for optimizing urban-level traffic signals.
In the embodiment of the invention, whether the current urban subarea is reasonable is determined according to the signal cycle time, the spatial position and the traffic flow of the intersection on the trunk road, whether the subarea control strategy is reasonable is determined when the current urban subarea is reasonable, whether an optimized space exists in road section coordination is determined if the subarea control strategy is reasonable, whether the intersection needs to be optimized is determined if the road section coordination does not have the optimized space, and signal control, traffic organization and traffic sequence optimization are performed on the intersection if the intersection needs to be optimized, so that the traffic signal optimization is realized at the whole urban level, the traffic jam is relieved, meanwhile, the signal optimization can be specifically executed, the optimization efficiency of a tuning technician is improved, and the signal optimization work is ensured to be carried out orderly.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic flow chart of an urban-level traffic signal optimization method according to an embodiment of the present invention;
fig. 2 is a schematic diagram of a city zoning method according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of an urban-level traffic signal optimization system according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the present invention will be described in further detail with reference to the accompanying drawings, and it is apparent that the described embodiments are only a part of the embodiments of the present invention, not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The embodiment of the invention provides a method for carrying out traffic optimization from the whole city level so as to solve the logical relation of signal optimization work such as city zoning, road section coordination, intersection optimization and the like at the present stage, effectively improve the optimization efficiency and solve the problem of urban traffic jam.
Fig. 1 schematically shows a flow of an urban traffic signal optimization method according to an embodiment of the present invention, where the flow may be executed by an urban traffic signal optimization system.
As shown in fig. 1, the process specifically includes:
and S101, determining a theoretical urban subarea according to the signal cycle time, the space position and the traffic flow of the intersection on the trunk road.
The signal period duration refers to the time required for the signal lamp to display one cycle according to the set phase sequence. For example, a traffic light at an intersection has four phases: first phase 29s, east-west going straight; second phase 24s, east-west left turn; third phase 39s, north straight, left turn; fourth phase 39s, straight south, left turn. Then the signal cycle duration for this intersection is 131 s. The spatial position refers to the longitude and latitude of an intersection on a main road, and the longitude and latitude can be data for map query and measurement. The traffic flow refers to the number of vehicles passing through in unit time, for example, the number of vehicles passing through an intersection per hour is 200, and the traffic flow is 200 vehicles per hour.
The theoretical urban zoning is mainly determined by the steps as shown in fig. 2:
step S201, determine intersection set L as (l)1，…，ln)T，liIs (l)i1，…，lij) Wherein i is 1, 2, …, n; lijRepresentation description intersection liThe number of jth feature of (a);
then intersection set L can be represented by equation (4):
step S202, determining a first matrix of the intersection set L according to the signal cycle duration, the spatial position and the traffic flow of each intersection in the intersection set L, in this embodiment, the spatial position of an intersection is divided into longitude and latitude, so that liCan be expressed as (x)i，yi，ci，qi) Wherein x isiFor intersection liLongitude, y ofiFor intersection liDimension (d); c. CiFor intersection liThe signal lamp cycle duration. The first matrix needs to conform to equation (1):
where L' is the first matrix, xiFor intersection liLongitude, y ofiFor intersection liDimension (d); c. CiFor intersection liThe signal lamp period duration; q. q.siFor intersection liThe traffic flow of (2);
step S203, determining the similarity coefficient r of the first matrix of the intersection set L according to the maximum and minimum methodijGenerating a fuzzy similar matrix of the intersection set L, wherein the fuzzy similar matrix needs to conform to the following formula (2):
wherein r isijFor intersection liAt the intersection ljA similarity coefficient of 0. ltoreq. rijLess than or equal to 1; i, j is 1, …, n, and rijThe following formula (5) needs to be satisfied;
wherein likIndicates l in the intersection set LiNumber of lines k and column likIndicates l in the intersection set LjLine k and line k, m is intersection l in intersection set LiThe total number of features of (c).
rijDividing the sum of the minimum value of the corresponding element of the ith row and the jth row by the sum of the maximum value of the corresponding element of the ith row and the jth row.
Step S204, determining a fuzzy equivalent matrix of the intersection set L according to the fuzzy similar matrix of the intersection set L.
For example, the fuzzy equivalence matrix can be derived by a synthesis operation R' ═ R · R.
Step S205, according to the fuzzy equivalent matrix of the intersection set L and a preset lambda value, obtaining a classification of the intersection set L, and determining a lambda threshold corresponding to the best classification of the intersection set L to obtain a theoretical city zoning.
And selecting lambdas of different levels to obtain L different clusters, determining a lambada value corresponding to the optimal classification according to an F statistical method and an expert method, and finally obtaining a city zoning result.
Through the steps S201-S205, the city can be partitioned from the whole city level, and roads with the same traffic property are partitioned into one partition, so that the coordination control is facilitated. The method also provides criteria and execution steps for the particular shard partitioning that can be performed so that the optimization can be refined and performed.
And step S102, determining whether the current urban zoning is reasonable according to the theoretical urban zoning.
Specifically, in steps S201 to S205, the obtained theoretical city zoning is compared with the current city zoning, and whether the city zoning is reasonable is determined. And if the current urban sub-partitioned area is unreasonable, taking the theoretical urban sub-partitioned area as the current urban sub-partitioned area. For example, an unreasonable city block is a block into which intersections with large traffic differences in signal cycle duration, spatial position, traffic flow, and other traffic properties are divided. The indicators for judging the rationality of the urban subareas are signal period duration, intersection distance and traffic flow, and whether the intersection traffic properties in the subareas are the same or not can be judged according to the three judgment indicators, so that whether the coordination control is facilitated or not can be judged. The coordination control is a signal control mode which implements green light signal coordination at adjacent intersections in front of and behind a road trunk line and enables a fleet to pass through a plurality of intersections without stopping continuously. Intersections within a parcel are beneficial for coordination when the following conditions are met:
a) the coordinated traffic flow direction should bear the main traffic load for the whole road.
b) The traffic flow direction and the traffic flow of the roads and the intersections in the coordination range are relatively stable in the appointed time period.
c) The traffic characteristics of the coordinated intersections are similar and have strong relevance, and the distance between adjacent intersections is not more than 800 m;
d) the road section lateral interference between the intersections is coordinated to be less, and the traffic flow operation is stable;
e) the control machine for coordinating the traffic signals at the crossroad has the function of automatic timing.
And S103, when the current city sub-block is determined to be reasonable, determining whether the sub-block control strategy is reasonable according to road conditions, traffic flow, signal control and traffic organization.
Specifically, it can be determined whether the current segment control strategy is reasonable according to the current traffic situation and problems, mainly related to the current situations and problems of road conditions, traffic flow, signal control, traffic organization and traffic management. The road condition refers to the geometric condition and the along-the-way condition of the road; the geometric composition conditions of the road comprise lane width, lane number, intersection distance, road shape lines, sight distance and gradient; the along-the-road condition refers to the degree of kernelization along the road. The signal control mainly comprises signal control modes such as bidirectional green wave, unidirectional green wave, red wave, congestion coordination, single-point optimization, multi-period fixed period and the like. The traffic organization mainly comprises road section along-line access control, road section pedestrian crossing, tidal lanes, one-way lanes and the like. The congestion coordination is a control mode, when the head of an upstream vehicle reaches the tail of a downstream vehicle queue, the last vehicle at the tail of the queue just starts.
If the current district control strategy is unreasonable, the city level signal control design can be carried out according to the following steps:
a) analyzing urban traffic flow rules and diagnosing urban traffic problems;
b) different control modes are adopted for different time periods of the core area, the core road section, the core intersection and the peripheral area.
For example, in a reasonable urban zoning scheme, the congestion of an early peak is serious for a certain core road section, and a bidirectional green wave or one-way green wave control mode is implemented through coordination of signal lamps at each intersection. Of course, different signal lamp control schemes can be adopted in different time periods, and the problem of congestion can be relieved by adopting a tide lane mode of changing the number of bidirectional lanes. A reasonable district control strategy is formulated through the steps, so that the traffic jam problem can be solved from a city level design scheme, the scheme is more effective, and the method is more diversified.
And step S104, when the district control strategy is determined to be reasonable, determining a road section coordination index according to the average travel speed and the average parking rate of each coordinated road section, and determining whether the road section coordination index is greater than a first threshold value.
Specifically, determining a road section coordination index according to the average travel speed and the average stopping rate of each coordinated road section needs to conform to a formula (3):
wherein I is a road section coordination index, SiThe total number of times of stopping for the ith vehicle passing through all the coordination intersections, n is the number of intersections in the trunk coordination direction, ViAverage travel speed, V, for the i-th vehicleLimit ofFor the road section to limit the speed, α is a coefficient, generally α is 0.5, β is a coefficient related to the crossing distance, the value range is 0-1, and m is the number of sample vehicles participating in the investigation.
Specifically, if the link coordination index is less than the second threshold, the link coordination must be re-optimized. The road section coordination optimization mainly comprises the following steps:
a) optimizing a control time period and a control mode;
b) optimizing a coordination control range and a main coordination direction;
c) designing vehicle speed, phase difference and loan optimization;
d) the signal control scheme downloads the fine-tune.
For example, the road section coordination index I is obtained through calculation, and if I is greater than 0.8, road section coordination optimization is not required; if I <0.6, the link coordination optimization must be performed again. If I is 0.6. ltoreq.I.ltoreq.0.8, then optimization may or may not be performed. By quantizing the judgment index, the judgment index can be more definite and can be used for implementation.
Step S105, when the road section coordination index is determined to be larger than the first threshold value, determining whether the intersection of the coordination road section needs to be optimized according to the queue length of the intersection of the coordination road section, the occupancy rate of the intersection of the coordination road section and the saturation of the intersection of the coordination road section.
Optionally, if the saturation is greater than the third threshold, the queue length is less than the fourth threshold, or the occupancy is less than the fifth threshold, the road segment coordination needs to be optimized.
Here, the intersection queue length of the coordinated section is the maximum queue length at the time when the green light is turned on. The intersection occupancy of the coordinated road section is the time occupancy, namely the ratio of the accumulated value of the time required by all vehicles to pass a certain section to the observation time within a certain time. For example, 100 vehicles pass through the stop line within 1 hour, each vehicle passes through the stop line for 3s, each vehicle shares 300s, and the time occupancy is 300/3600-0.083. And the crossing saturation of the coordinated road section is the maximum phase saturation, and the phase saturation is the ratio of the traffic flow of the phase key lane to the traffic capacity of the phase key lane. For example, in the first phase, the traffic flow in the east-west straight direction observation time period is 391 vehicles/hour, the traffic capacity is 1900 vehicles/hour, and the first phase saturation is 391/1900 ═ 0.206; similarly, the second phase saturation is 0.123, the third phase saturation is 0.154, and the fourth phase saturation is 0.185, so that the intersection saturation is the maximum value of the four values, i.e., 0.206.
And S106, when the situation that the intersection of the coordinated road section needs to be optimized is determined, performing signal control, traffic organization and traffic order optimization on the intersection of the coordinated road section.
Specifically, a comprehensive scheme integrating multiple dimensions such as intersection traffic control, traffic organization, traffic order and the like is simulated through traffic simulation software, and whether the scheme is effective or not is judged according to results.
The above embodiments show that determining whether the current urban zoning is reasonable according to the signal cycle duration, the spatial position and the traffic flow of the crossroad on the arterial road, re-zoning if the current urban zoning is unreasonable, determining whether the zoning control strategy is reasonable if the current urban zoning is reasonable, re-assigning the zoning control strategy if the zoning control strategy is unreasonable, determining whether there is an optimized space for road section coordination if the zoning control strategy is reasonable, re-optimizing the road section coordination if there is an optimized space for road section coordination, determining whether the crossroad can be optimized if there is no optimized space for road section coordination, optimizing the crossroad for signal control, traffic organization and traffic order if the crossroad can optimize, optimizing the traffic signals from the whole urban level, alleviating traffic, making the signal optimization concretely executable, and improving the optimization efficiency of the optimization technicians, and the signal optimization work is ensured to be carried out orderly.
Based on the same inventive concept, fig. 3 exemplarily illustrates an urban-level traffic signal optimization system provided by an embodiment of the present invention, which can perform an urban-level traffic signal optimization method.
As shown in fig. 3, the system includes:
the planning module 301 is configured to determine a theoretical city zoning area according to the signal period duration, the spatial position and the traffic flow of the intersection on the trunk road; the signal lamp period duration refers to the time required by the signal lamp to display a cycle according to a set phase sequence; the spatial position refers to the longitude and latitude of the intersection; the traffic flow refers to the number of vehicles passing in unit time; and when the current urban sub-partitioned area is determined to be unreasonable, taking the theoretical urban sub-partitioned area as the current urban sub-partitioned area;
the judging module 302 is configured to determine whether the current city sub-partitioned area is reasonable according to the theoretical city sub-partitioned area;
the parcel control module 303 is configured to determine whether a parcel control strategy is reasonable according to road conditions, traffic flow, signal control and traffic organization when it is determined that the current city parcel is reasonable; the road condition refers to the geometric composition condition and the along-the-way condition of the road; the geometric composition conditions of the road comprise lane width, lane number, intersection distance, road shape lines, sight distance and gradient; the along-the-road condition refers to the degree of kernelization along the road;
the road section coordination module 304 is used for determining a road section coordination index according to the average travel speed and the average parking rate of each coordinated road section and determining whether the road section coordination index is greater than a first threshold value or not when the district control strategy is determined to be reasonable; when the road section coordination index is determined to be larger than the first threshold value, determining whether the intersection of the coordination road section needs to be optimized or not according to the queue length of the intersection of the coordination road section, the occupancy rate of the intersection of the coordination road section and the saturation of the intersection of the coordination road section;
and the intersection optimization module 305 is configured to perform signal control, traffic organization and traffic order optimization on the intersection of the coordinated road section when it is determined that the intersection of the coordinated road section needs to be optimized.
Preferably, the planning module 301 is further configured to determine a first city zoning area according to the signal cycle duration, the spatial position, and the traffic flow at the intersection on the trunk road, including:
determining an intersection set L, wherein L is (l)1，…，ln)T，liIs (l)i1，…，lij)，i＝1，2，…,n；lijRepresentation description intersection liThe number of jth feature of (a);
determining a first matrix of the intersection set L according to the signal cycle duration, the spatial position and the traffic flow of each intersection in the intersection set L, wherein the first matrix needs to accord with a formula (1);
the formula (1) is:
where L' is the first matrix, xiFor intersection liLongitude, y ofiFor intersection liDimension (d); c. CiFor intersection liSignal light period of (2); q. q.siFor intersection liThe traffic flow of (2);
determining a similarity coefficient r of a first matrix of the intersection set L according to a maximum-minimum methodijGenerating a fuzzy similar matrix of the intersection set L, wherein the second fuzzy similar matrix needs to accord with a formula (2);
the formula (2) is:
wherein r isijFor intersection liAnd ljA similarity coefficient of 0. ltoreq. rij≤1；i，j＝1，…，n；
Determining a fuzzy equivalent matrix of the intersection set L according to the fuzzy similar matrix of the intersection set L;
obtaining the classification of the intersection set L according to the fuzzy equivalent matrix of the intersection set L and a preset lambda value, and determining a lambda threshold corresponding to the optimal classification of the intersection set L to obtain a first city zoning.
Preferably, the road section coordination module 304 is further configured to determine that the road section coordination index needs to meet the formula (3) according to the average travel speed and the average parking rate of each coordinated road section;
the formula (3) is:
wherein I is a road section coordination index, SiThe total number of times of stopping for the ith vehicle passing through all the coordination intersections, n is the number of intersections in the trunk coordination direction, ViAverage travel speed, V, for the i-th vehicleLimit ofFor the road segment to limit the speed, α, β are coefficients, and m is the number of vehicles participating in the survey sample.
Based on the same inventive concept, an embodiment of the present invention further provides a computing device, including:
a memory for storing program instructions;
and the processor is used for calling the program instructions stored in the memory and executing the city-level traffic signal optimization method according to the obtained program.
Based on the same inventive concept, the embodiment of the present invention also provides a computer storage medium, which stores computer-executable instructions for causing a computer to execute the above method for city-level traffic signal optimization.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (10)
1. An urban traffic signal optimization method, comprising:
determining theoretical urban zoning according to signal cycle duration, space positions and traffic flow of an intersection on a trunk road; the signal lamp period duration refers to the time required by the signal lamp to display a cycle according to a set phase sequence; the spatial position refers to the longitude and latitude of the intersection; the traffic flow refers to the number of vehicles passing in unit time;
determining whether the current urban sub-partitioned area is reasonable or not according to the theoretical urban sub-partitioned area;
when the current city sub-block is determined to be reasonable, determining whether the block control strategy is reasonable according to road conditions, traffic flow, signal control and traffic organization; the road condition refers to the geometric composition condition and the along-the-way condition of the road; the geometric composition conditions of the road comprise lane width, lane number, intersection distance, road shape lines, sight distance and gradient; the along-the-road condition refers to the degree of kernelization along the road;
when the district control strategy is determined to be reasonable, determining a road section coordination index according to the average travel speed and the average parking rate of each coordinated road section, and determining whether the road section coordination index is greater than a first threshold value;
when the road section coordination index is determined to be larger than the first threshold, determining whether the intersection of the coordination road section needs to be optimized according to the queue length of the intersection of the coordination road section, the occupancy rate of the intersection of the coordination road section and the saturation of the intersection of the coordination road section; the queuing length is the maximum congestion distance of the road section at the moment of turning on the green light; the occupancy rate is the ratio of the time required for all vehicles to pass through the measuring section within a certain time to the observation time; the saturation is the ratio of the traffic flow and the traffic capacity of the key lane corresponding to the phase;
and when determining that the intersection of the coordinated road section needs to be optimized, performing signal control, traffic organization and traffic order optimization on the intersection of the coordinated road section.
2. The method of claim 1, wherein the theoretical city zoning is considered a current city zoning when it is determined that the current city zoning is unreasonable.
3. The method of claim 1 or 2, wherein determining theoretical city zoning based on signal cycle duration, spatial location, and traffic flow at an intersection on a trunk comprises:
determining an intersection set L, wherein L is (l)1，…，ln)T，liIs (l)i1，…，lij)，i＝1，2，…,n；lijRepresentation description intersection liThe number of jth feature of (a);
determining a first matrix of the intersection set L according to the signal cycle duration, the spatial position and the traffic flow of each intersection in the intersection set L, wherein the first matrix needs to accord with a formula (1);
the formula (1) is:
where L' is the first matrix, xiFor intersection liLongitude, y ofiFor intersection liThe latitude of (d); c. CiFor intersection liThe signal lamp period duration; q. q.siFor intersection liThe traffic flow of (2);
determining a similarity coefficient r of a first matrix of the intersection set L according to a maximum-minimum methodijGenerating a fuzzy similar matrix of the intersection set L, wherein the fuzzy similar matrix needs to accord with a formula (2);
the formula (2) is:
wherein r isijFor intersection liAnd ljA similarity coefficient of 0. ltoreq. rij≤1；i，j＝1，…，n；
Determining a fuzzy equivalent matrix of the intersection set L according to the fuzzy similar matrix of the intersection set L;
obtaining the classification of the intersection set L according to the fuzzy equivalent matrix of the intersection set L and a preset lambda value, and determining a lambda threshold corresponding to the optimal classification of the intersection set L to obtain a theoretical urban zoning.
4. The method of claim 1, wherein the determining of the link coordination index based on the average trip vehicle speed and the average stopping rate for each coordinated link is required to conform to equation (3);
the formula (3) is:
wherein I is a road section coordination index, SiThe total number of times of stopping for the ith vehicle passing through all the coordination intersections, n is the number of intersections in the trunk coordination direction, ViAverage travel speed, V, for the i-th vehicleLimit ofFor the road segment to limit the speed, α, β are coefficients, and m is the number of vehicles participating in the survey sample.
5. An urban traffic signal optimization system, comprising:
the planning module is used for determining a theoretical city zoning according to the signal period duration, the space position and the traffic flow of the intersection on the trunk road; the signal lamp period duration refers to the time required by the signal lamp to display a cycle according to a set phase sequence; the spatial position refers to the longitude and latitude of the intersection; the traffic flow refers to the number of vehicles passing in unit time;
the judgment module is used for determining whether the current urban sub-partitioned area is reasonable or not according to the theoretical urban sub-partitioned area;
the parcel control module is used for determining whether the parcel control strategy is reasonable or not according to road conditions, traffic flow, signal control and traffic organization when the current city parcel is determined to be reasonable; the road condition refers to the geometric composition condition and the along-the-way condition of the road; the geometric composition conditions of the road comprise lane width, lane number, intersection distance, road shape lines, sight distance and gradient; the along-the-road condition refers to the degree of kernelization along the road;
the road section coordination module is used for determining a road section coordination index according to the average travel speed and the average parking rate of each coordinated road section and determining whether the road section coordination index is greater than a first threshold value or not when the district control strategy is determined to be reasonable; when the road section coordination index is determined to be larger than the first threshold value, determining whether the intersection of the coordination road section needs to be optimized or not according to the queue length of the intersection of the coordination road section, the occupancy rate of the intersection of the coordination road section and the saturation of the intersection of the coordination road section; the queuing length is the maximum congestion distance of the road section at the moment of turning on the green light; the occupancy rate is the ratio of the time required for all vehicles to pass through the measuring section within a certain time to the observation time; the saturation is the ratio of the traffic flow and the traffic capacity of the key lane corresponding to the phase;
and the intersection optimization module is used for performing signal control, traffic organization and traffic order optimization on the intersection of the coordinated road section when the intersection of the coordinated road section needs to be optimized.
6. The system of claim 5, wherein the planning module is specifically configured to take the theoretical city zoning as the current city zoning when it is determined that the current city zoning is unreasonable.
7. The system of claim 5 or 6, wherein the planning module is specifically configured to determine a theoretical urban zoning according to signal cycle duration, spatial position, and traffic flow at an intersection on a trunk road, and comprises:
determining an intersection set L, wherein L is (l)1，…，ln)T，liIs (l)i1，…，lij)，i＝1，2，…,n；lijRepresentation description intersection liThe number of jth feature of (a);
determining a first matrix of the intersection set L according to the signal cycle duration, the spatial position and the traffic flow of each intersection in the intersection set L, wherein the first matrix needs to accord with a formula (1);
the formula (1) is:
where L' is the first matrix, xiFor intersection liLongitude, y ofiFor intersection liThe latitude of (d); c. CiFor intersection liThe signal lamp period duration; q. q.siFor intersection liThe traffic flow of (2);
determining a similarity coefficient r of a first matrix of the intersection set L according to a maximum-minimum methodijGenerating a fuzzy similar matrix of the intersection set L, wherein the fuzzy similar matrix needs to accord with a formula (2);
the formula (2) is:
wherein r isijFor intersection liAnd ljA similarity coefficient of 0. ltoreq. rij≤1；i，j＝1，…，n；
Determining a fuzzy equivalent matrix of the intersection set L according to the fuzzy similar matrix of the intersection set L;
obtaining the classification of the intersection set L according to the fuzzy equivalent matrix of the intersection set L and a preset lambda value, and determining a lambda threshold corresponding to the optimal classification of the intersection set L to obtain a theoretical urban zoning.
8. The system of claim 5, wherein the road segment coordination module is specifically configured to determine that a road segment coordination index needs to conform to equation (3) based on an average travel speed and an average stopping rate for each coordinated road segment;
the formula (3) is:
wherein I is a road section coordination index, SiFor the ith vehicle to pass through the total number of stops at all the coordination intersections, and n is the number of stops at the intersection in the trunk coordination directionNumber, ViAverage travel speed, V, for the i-th vehicleLimit ofFor the road segment to limit the speed, α, β are coefficients, and m is the number of vehicles participating in the survey sample.
9. A computing device, comprising:
a memory for storing program instructions;
a processor for calling program instructions stored in said memory to execute the method of any one of claims 1 to 4 in accordance with the obtained program.
10. A computer-readable storage medium having stored thereon computer-executable instructions for causing a computer to perform the method of any one of claims 1 to 4.
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