CN103106789A - Synergy method for traffic guidance system and signal control system - Google Patents

Synergy method for traffic guidance system and signal control system Download PDF

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CN103106789A
CN103106789A CN2013100086667A CN201310008666A CN103106789A CN 103106789 A CN103106789 A CN 103106789A CN 2013100086667 A CN2013100086667 A CN 2013100086667A CN 201310008666 A CN201310008666 A CN 201310008666A CN 103106789 A CN103106789 A CN 103106789A
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traffic
real
time
road
control system
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CN103106789B (en
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刘攀
俞灏
樊蓉
罗旭江
羊钊
郭延永
李志斌
徐铖铖
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Southeast University
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Abstract

The invention discloses a synergy method for a traffic guidance system and a signal control system. The synergy method for the traffic guidance system and the signal control system mainly comprises a static road data storage module, a dynamic traffic data real-time storage module, a computing module and a decision-making module. Through the synergy method for the traffic guidance system and the signal control system, the contradiction, which always exists between the traffic guidance system and the signal control system, due to the difference of optimization objectives is relieved, and the proposal that the traffic guidance system is optimally started when an urban traffic system is in a jam is proposed so as to ease traffic jams and improve urban traffic running efficiency.

Description

The Synergistic method of a kind of system for traffic guiding and whistle control system
Technical field
The invention belongs to intelligent transportation system and work in coordination with the field, relate in particular to the Synergistic method of a kind of system for traffic guiding and traffic control system.
Background technology
System for traffic guiding and whistle control system are the important means of urban traffic control, and wherein whistle control system is Traffic Systems management and the core content of controlling, and system for traffic guiding is the important component part of intelligent transportation system.System for traffic guiding can for traveler appropriate design traffic path, effectively be utilized transportation network according to real-time road grid traffic condition information, ensures that from space and time the optimization of traffic flow distributes.Whistle control system is by detecting information on the road, prediction short-term traffic flow, and then the signal timing dial method is optimized control, the vehicle of crossing in urban road network incured loss through delay drop to minimum, effectively improves the operational efficiency of Traffic Systems.
In traditional traffic system, system for traffic guiding and whistle control system are two systems fully independently, there is no information interaction between system and share.System for traffic guiding is according to real-time transport information, with the target of user's optimum, for traveler provides optimum routing.Whistle control system uses its built-in signal controlling algorithm according to detect the telecommunication flow information that obtains at the entrance driveway road network, take system optimal as target, and the real-time optimization signal time distributing conception.The optimization aim of two systems exists huge difference, and especially when the road grid traffic burden increased, the contradiction between two systems can constantly intensify, and finally not only can't realize the improvement to the urban traffic blocking state, can aggravate traffic congestion on the contrary.
From at the end of last century, there is successively multidigit well-known expert scholar to carry out the correlative study analysis to the collaborative optimization algorithm of system for traffic guiding and whistle control system both at home and abroad, the method that proposes mainly can be divided into two large classes, be iterative optimization method and global optimization scheme, but iteration optimization algorithms often is difficult to obtain globally optimal solution, and global optimization approach increases along with road-net node, highway section number, and computation complexity increases by geometric progression.Thereby, up to the present, all be difficult to put into practice in practical engineering application.Under present technical conditions, can't efficiently realize fast the collaborative optimized running of system for traffic guiding and whistle control system.
Summary of the invention
Goal of the invention: for the problem and shortage of above-mentioned existing existence, the Synergistic method that the purpose of this invention is to provide a kind of system for traffic guiding and whistle control system, can avoid system for traffic guiding and whistle control system because the difference of self optimization aim causes Traffic Systems is produced negative effect, and effectively system for traffic guiding and whistle control system are worked in coordination with, and then improve the operational efficiency of Traffic Systems.
Technical scheme: for achieving the above object, the present invention is by the following technical solutions: the Synergistic method of a kind of system for traffic guiding and whistle control system, comprise static road data memory module, dynamic traffic flow data real-time storage module, computing module and decision-making module, wherein: described static road data memory module comprises highway section number, each highway section number of track-lines and each lane capacity; Described dynamic traffic flow data real-time storage module, read in real time the uploading data of urban highway traffic Data Detection facility, thereby obtain the real-time dynamic traffic flow data, comprise the time interval of real-time traffic and the urban highway traffic Data Detection facility uploading data in each track on each highway section; Described computing module according to the data that record in static road data memory module and dynamic traffic flow data real-time storage module, calculates real-time saturation factor s iWith the traffic route average saturation factor S in networking; Described decision-making module, the in real time full s that calculates according to computing module iWith rate and the average saturation factor S of traffic route network, the closing or opening under different situations to system for traffic guiding and traffic control system carried out decision-making.
Further, in described computing module, real-time saturation factor s iAverage saturation factor S obtains by formula (1)~(4) with the traffic route network:
C i = Σ j = 1 n i c ij - - - ( 1 )
Q i = Σ j = 1 n i q ij / t 0 - - - ( 2 )
s i = Q i C i - - - ( 3 )
S = Σ i = 1 N Σ j = 1 n i q ij / t 0 Σ i = 1 N Σ j = 1 n i c ij - - - ( 4 )
Wherein, i bar road track number is n i, j bar lane capacity c ijC iIt is the road section capacity of i bar road; The real-time traffic in i bar road j bar track is q ijQ iBe real-time traffic on i bar road, s iIt is the real-time saturation factor on the i road.
Further, the decision-making technique of described decision-making module is as follows: be calculated as the real-time saturation factor of each road according to formula (3) and sort, and the real-time saturation factor of getting on the middle of the road line is designated as S 50th, and according to S 50thWith numerical value selected adjustment scheme from table 1 of the average saturation factor S of traffic route network, then determine closing or opening under system for traffic guiding situations different from whistle control system in selected adjustment scheme according to table 2, wherein table 1 and table 2 are as follows:
Table 1
Table 2
Wherein in table 2, the implication of user's optimum in city public sector being unique user when providing walking along the street footpath induced service, turns to the induction scheme of inducing target to determine unique user with this user benefit maximum; The implication of system optimal is for being to turn to the induction scheme of inducing target to determine unique user with the comprehensive profit maximum of entire society in city public sector for unique user provides the trip induced service; Fixedly the implication of timing is for being to turn to the induction scheme of inducing target to determine unique user with the comprehensive profit maximum of entire society in city public sector for unique user provides the trip induced service; The implication of real-time optimization be signal controlling administrative authority not for signalized intersections arranges fixing signal lamp timing, each crossing utilizes the timing optimized algorithm according to real-time traffic information, obtains in real time optimum signal timing dial.
Beneficial effect: compared with prior art, the present invention is by the Synergistic method of system for traffic guiding and whistle control system, alleviated and be present in the contradiction that produces due to optimization aim difference between system for traffic guiding and whistle control system in the past always, proposition is when Traffic Systems gets congestion, the system for traffic guiding open system is optimum, with relieving traffic jam, thereby improve the urban transportation operational efficiency.
Description of drawings
Fig. 1 is the workflow diagram of the Synergistic method of system for traffic guiding of the present invention and whistle control system;
Fig. 2 is the schematic diagram of urban traffic road net described in the embodiment of the present invention.
Embodiment
Below in conjunction with the drawings and specific embodiments, further illustrate the present invention, should understand these embodiment only is used for explanation the present invention and is not used in and limits the scope of the invention, after having read the present invention, those skilled in the art all fall within the application's claims limited range to the modification of the various equivalent form of values of the present invention.
This part content is introduced in detail the cooperative system of system for traffic guiding of the present invention and whistle control system and certain urban traffic road net is carried out the control method of road traffic:
1, static road data memory module.Contact with urban construction department and vehicle supervision department, obtain urban road information, wherein total highway section is several 2950, and wherein i bar road track number is n i, j bar lane capacity c ij, as shown in table 3.
Table 3
The highway section sequence number The highway section number of track-lines The 1st track The 2nd track The 3rd track The 4th track
1 4 900 900 900 900
2 4 900 900 900 900
3 2 1000 1000 ? ?
4 3 900 900 900 ?
...... ...... ...... ...... ...... ......
2950 3 1000 1000 1000 ?
2, dynamic traffic flow data real-time storage module.Read in real time the uploading data of urban highway traffic Data Detection facility, thereby obtain the real-time dynamic traffic flow data, wherein the real-time traffic in i bar road j bar track is q ij, and road traffic Data Detection facility uploaded a secondary data in every 1/30 hour, and as shown in table 4.
Table 4
The highway section sequence number The highway section number of track-lines The 1st track The 2nd track The 3rd track The 4th track
1 4 15 30 31 27
2 4 22 29 21 25
3 2 31 35 ? ?
4 3 19 18 19 ?
...... ...... ...... ...... ...... ......
2950 3 22 26 30 ?
3, computing module.
At first calculate the road section capacity C of every i bar road by formula (1) i
Secondly calculate real-time traffic Q on every road by formula (2) i
By the real-time saturation factor s on every road of formula (3) calculating i
Ci, Qi, si result of calculation is as shown in table 5.
Table 5
The highway section sequence number Road section capacity Real-time traffic Real-time saturation factor
1 3600 3090 0.858
2 3600 2910 0.808
3 2000 1980 0.99
4 2700 1680 0.622
...... ...... ...... ......
2950 3000 2340 0.78
By to s iSort, obtain the 50th real-time saturation factor S 50th=0.635.
Calculate the average saturation factor S of real-time traffic road network by formula (4).
S = Σ i = 1 N Σ j = 1 n i q ij / t 0 Σ i = 1 N Σ j = 1 n i c ij = 0.593
4, decision-making module.
To the S that calculates in computing module 50thAnd S is according to table 1 query scheme, tackles system for traffic guiding and whistle control system embodiment A this moment as can be known, namely closes system for traffic guiding, opens the real-time signal control system optimization.

Claims (3)

1. the Synergistic method of a system for traffic guiding and whistle control system is characterized in that: comprise static road data memory module, dynamic traffic flow data real-time storage module, computing module and decision-making module, wherein:
Described static road data memory module comprises highway section number, each highway section number of track-lines and each lane capacity;
Described dynamic traffic flow data real-time storage module, read in real time the uploading data of urban highway traffic Data Detection facility, thereby obtain the real-time dynamic traffic flow data, comprise the time interval of real-time traffic and the urban highway traffic Data Detection facility uploading data in each track on each highway section;
Described computing module according to the data that record in static road data memory module and dynamic traffic flow data real-time storage module, calculates real-time saturation factor s iWith the traffic route average saturation factor S in networking;
Described decision-making module, the in real time full s that calculates according to computing module iWith rate and the average saturation factor S of traffic route network, the closing or opening under different situations to system for traffic guiding and traffic control system carried out decision-making.
2. the Synergistic method of system for traffic guiding and whistle control system according to claim 1 is characterized in that: in described computing module, and saturation factor s in real time iAverage saturation factor S obtains by formula (1)~(4) with the traffic route network:
C i = Σ j = 1 n i c ij - - - ( 1 )
Q i = Σ j = 1 n i q ij / t 0 - - - ( 2 )
s i = Q i C i - - - ( 3 )
S = Σ i = 1 N Σ j = 1 n i q ij / t 0 Σ i = 1 N Σ j = 1 n i c ij - - - ( 4 )
Wherein, i bar road track number is n i, j bar lane capacity c ijC iIt is the road section capacity of i bar road; The real-time traffic in i bar road j bar track is q ijQ iBe real-time traffic on i bar road, s iIt is the real-time saturation factor on the i road.
3. the Synergistic method of system for traffic guiding and whistle control system according to claim 2, it is characterized in that: the decision-making technique of described decision-making module is as follows:
Be calculated as the real-time saturation factor of each road according to formula (3) and sort, and the real-time saturation factor of getting on the middle of the road line is designated as S 50th, and according to S 50thWith numerical value selected adjustment scheme from table 1 of the average saturation factor S of traffic route network, then determine closing or opening under system for traffic guiding situations different from whistle control system in selected adjustment scheme according to table 2, wherein table 1 and table 2 are as follows:
Table 1
Figure FDA00002722693500021
Table 2
Figure FDA00002722693500022
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CN104537850A (en) * 2014-12-25 2015-04-22 清华大学 Multi-type real-time traffic data collection and control device
CN104766483A (en) * 2015-04-09 2015-07-08 吉林大学 Traffic control inducing coordination system and method based on cloud computing
CN105489015A (en) * 2016-01-22 2016-04-13 招商局重庆交通科研设计院有限公司 Urban road intelligent traffic programming method based on investment model
CN106056935A (en) * 2016-06-01 2016-10-26 东莞职业技术学院 Intelligent traffic guidance system and method
CN109035767A (en) * 2018-07-13 2018-12-18 北京工业大学 A kind of tide lane optimization method considering Traffic Control and Guidance collaboration
CN109686084A (en) * 2018-12-11 2019-04-26 东南大学 Signal based on intersection average staturation controls optimization aim switching system
CN113506445A (en) * 2021-09-13 2021-10-15 四川国蓝中天环境科技集团有限公司 Real-time traffic guidance system and method considering long-term behavior change compliance of travelers

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Publication number Priority date Publication date Assignee Title
CN104157151A (en) * 2014-06-13 2014-11-19 东南大学 Method and system for cooperation of city traffic guidance and signal control
CN104537850A (en) * 2014-12-25 2015-04-22 清华大学 Multi-type real-time traffic data collection and control device
CN104766483A (en) * 2015-04-09 2015-07-08 吉林大学 Traffic control inducing coordination system and method based on cloud computing
CN105489015A (en) * 2016-01-22 2016-04-13 招商局重庆交通科研设计院有限公司 Urban road intelligent traffic programming method based on investment model
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CN109686084A (en) * 2018-12-11 2019-04-26 东南大学 Signal based on intersection average staturation controls optimization aim switching system
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CN113506445A (en) * 2021-09-13 2021-10-15 四川国蓝中天环境科技集团有限公司 Real-time traffic guidance system and method considering long-term behavior change compliance of travelers
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