CN101789182B - Traffic signal control system and method based on parallel simulation technique - Google Patents

Abstract

The invention relates to a traffic signal control system and a method based on a parallel simulation technique, belonging to the field of urban traffic signal control systems. The system comprises the following five modules: a data acquisition module, a data processing module, an algorithm adaptability off-line analysis module, an algorithm on-line selection module and a teleseme execution module, wherein the data acquisition module is responsible for acquiring traffic flow information of intersections in real time and transferring the information to the data processing module; the data processing module computes traffic flow data according to the information, establishes a signalized intersection data dictionary, and simultaneously determines flow sections to divide threshold values by using a cluster analysis method; the algorithm adaptability off-line analysis module analyzes adaptability aiming at various control algorithms and establishes a control algorithm matching rule base; the algorithm on-line selection module selects a proper signal control algorithm according to the real-time traffic flow information and the matching rule base; and the teleseme execution module finishes the implementation of a signal control scheme according to the selected control algorithm. The signal control system provided by the invention realizes the on-line selection of the control algorithm, solves the problem of simulation and control deviation, and has the characteristic of strong expandability.

Description

A kind of traffic signal control system and method based on parallel simulation technique

Technical field

The invention belongs to the urban traffic signal control system field; Be specifically related to a kind of traffic signal control system and method based on parallel simulation technique; This system combines emulation technology and control algolithm; Control algolithm off-line simulation and on-line evaluation combine, and have embodied the characteristics that traffic flow data statistical study and real-time status combine, for the optimization of control algolithm implements to provide decision support.

Background technology

Along with fast development of national economy; Improving constantly of living standards of the people; Various demands to communications and transportation rise appreciably; Make the contradiction of people, Che Helu, traffic and environment intensify day by day, traffic jam issue has become one of main "urban disease" that city, present countries in the world faces jointly.Serious contradiction between the existing traffic capacity of this transport need and means of transportation; Under the double constraints of considering economy and environmental resource; It is unpractical only leaning on " extensional mode " the conventional traffic strategy of building bridge of repairing the roads, and mainly at present adopts the strategy and policy of " connotative " to solve, and is just suitably expanding on the basis of road hardware condition; The intelligent transportation system (ITS) that employing is the basis with 3C technology (control technology, the communication technology and computer technology); Integrate path resource, farthest realize the resource sharing and the Optimization Dispatching of road conditions, comprehensive raising road application efficiency.Wherein, urban traffic signal control system is as the important composition module of ITS, is the focus and the focus of research always, wherein more representational the TRANSYT system arranged], SCOOT system and SCATS system etc.

TRANSYT (Traffic Network Study Toots) system be by Britain road research institute (TRRL) propose a kind of be the based signal control system with offline optimization transportation network signal timing dial algorithm.This system mainly by emulation with optimize two parts and form, with the weighted value of total delay time and total stop frequency as objective function.During optimization information such as the physical dimension of network, flow, initial timing are sent in the realistic model, tried to achieve the value of objective function and send into through emulation and optimize part and be optimized, return the emulation part then, the optimum signal timing is tried to achieve in the optimizing that so iterates.

SCOOT (Split Cycle and Offset Optimization Technique) system also is the adaptive control system of being controlled by a kind of transportation network real time coordination that TRRL proposes; It is that development comes on the basis of TRANSYT system; The model and the principle of optimality of two systems are similar, and different is that SCOOT is that scheme forms the formula control system.The vehicle of gathering through the wagon detector that is installed on every entrance driveway upper reaches, each crossing arrives information; In-line processing forms controlling schemes; Adjust split, cycle length and three controlled variable of phase differential continuously in real time, make it the traffic behavior that is adapted to change.

SCATS (Sydney Coordinated Adaptive Traffic Method) system is a kind of real-time timing Scheme Choice system by Australia's latter stage seventies exploitation, and it needs off-line ground to optimize to draft out the control strategy that a cover and controlled crossing and road network Different Traffic Flows variation grades adapt.According to the actual traffic flow, in existing plan, select the signal controlling scheme to carry out.

Above system has obtained certain desired effects in the traffic practice, but still there are some problems in these systems: (1) offline optimization mode (TRANSYT system), and calculated amount is big, can not adapt to the real-time traffic flowable state and change; (2) online scheme forms formula (SCOOT system), and the control strategy of system all obtains through accurate data model emulation, and model accuracy is high more, and structure is more complicated, and simulation time is long more, thereby has emulation and control disconnection problem; (3) online Scheme Choice formula (SCATS system); The coupling of its control strategy and the magnitude of traffic flow is an off-line setting; Exist real-time traffic and control strategy to concern problem of aging; In addition; Many in recent years Chinese scholars are introduced advanced intelligent algorithm such as intensified learning, fuzzy system, genetic algorithm in the traffic engineering field to the defective and the limitation of traditional control system, have obtained good simulated effect, but these control algolithm application in real system advanced, that the adaptation traffic behavior changes also are difficult to realize.Above problem is demanded urgently solving.

Summary of the invention

The objective of the invention is to realizing on the basis that crossing data level second is gathered; Adopt off-line algorithm Adaptability Analysis and on-line Algorithm to select the method that combines; Overcome the some shortcomings part that exists in the system in the past, a kind of whistle control system and method based on parallel simulation technique be provided.This system makes this system not only satisfy real-time traffic and control algolithm coupling, algorithm simulating and system's control stationary problem, and decision support is provided for the application of complicated control algolithm.The system that realized adjusts control mode signal in real time according to the signalized intersections actual state, improves the traffic capacity of crossing and the traffic efficiency of whole road network.

The present invention adopts following technical scheme to realize.

A kind of traffic signal control system and method based on parallel simulation technique; Comprise data acquisition module, data processing module, algorithm adaptability off-line analysis module, algorithm on-line selection module and teleseme execution module; It is characterized in that: described data acquisition module comprises detecting device and data transmission unit; Wherein detecting device is embedded in the signal cross crossing, is used for gathering in real time the crossing information of vehicle flowrate, and data transmission unit is responsible for the information that collects is sent to data processing module; Data processing module comprises real time data processing unit, data statistic analysis unit, data dictionary; Wherein the input end of real time data processing unit links to each other with the output terminal of data transmission unit in the data acquisition module; And go out traffic flow data according to the data computation of detecting device collection; Then traffic flow data is stored in database, sets up the signalized intersections data dictionary; Data statistic analysis unit in the data processing module is with the crossing information of vehicle flowrate in the data dictionary; Use the fuzzy C-means clustering analytical approach; This algorithm is a kind of fuzzy c means clustering algorithm that combines subtractive clustering and cluster validity to pass judgment on, and confirms that the rational flow section of reflection crossing data immanent structure is divided threshold value; Algorithm adaptability off-line analysis module adopts simulation software; Flow section threshold value according to the data statistic analysis dividing elements; Based on the minimum evaluation index of crossing mean delay; Various control algolithms are carried out the applicability condition analysis, set up the matching rule base between various control algolithms and the magnitude of traffic flow section; Algorithm on-line selection module is an application simulation software; Adopt parallel simulation technique, according to the real-time traffic stream information, according to the control algolithm condition of compatibility in the matching rule base; The signal controlling algorithm that on-line selection and real-time traffic stream are complementary; And selected control algolithm carried out in-circuit emulation, and provide the evaluation index of signal controlling in real time, as the decision support of further this algorithm of enforcement; The teleseme execution module is according to the evaluation result of parallel in-circuit emulation, and the concrete execution optimal control algorithm of selecting through the communication interface that teleseme provides, is accomplished the enforcement of the optimization control scheme of signalized intersections.

Detecting device in the data acquisition module can adopt the coil vehicle detector with level output, also can adopt video detector, and the frequency of traffic flow data sampling and transmission should be a second level.

A kind of traffic signal control method based on parallel simulation technique is to be carried out according to following steps by above-mentioned traffic signal control system:

Step 1: data acquisition

By through being embedded in the detecting device at signal cross crossing, carry out the real-time collection of crossing information of vehicle flowrate;

Step 2: data processing

Step 2.1: the real time data processing unit in the data processing module goes out traffic flow data according to the data computation of detecting device collection;

Step 2.2: traffic flow data is stored in database, sets up the signalized intersections data dictionary;

Step 2.3: the data statistic analysis unit in the data processing module is used fuzzy c mean cluster Sub_FCM method with the crossing traffic flow data and is carried out volume of traffic cluster analysis, confirms that the rational flow section of reflection crossing data immanent structure is divided threshold value;

Step 3: algorithm adaptability off-line analysis

Simulation software in the algorithm adaptability off-line analysis module; Flow section threshold value according to data statistic analysis unit cluster analysis division; Based on the minimum evaluation index of crossing mean delay; Various control algolithms are carried out the applicability condition analysis, and promptly various control algolithms are under which kind of traffic flow section, to use to obtain optimum control effect, thereby set up the matching rule base between various control algolithms and the magnitude of traffic flow section.

Step 4: algorithm on-line selection

Application simulation software; Adopt parallel simulation technique, according to the real-time traffic stream information, according to the control algolithm condition of compatibility in the matching rule base; The signal controlling algorithm that on-line selection and real-time traffic stream are complementary; And selected control algolithm carried out in-circuit emulation, provide the evaluation index of signal controlling in real time, as the decision support of further this algorithm of enforcement;

Step 5: teleseme is carried out

According to the evaluation result of parallel in-circuit emulation, the concrete execution optimal control algorithm of selecting through the communication interface that teleseme provides, is accomplished the enforcement of the optimization control scheme of signalized intersections.

Wherein the signalized intersections data dictionary comprises crossing real-time traffic flow amount, time occupancy, average headway, vehicle average velocity.

The present invention compares with existing whistle control system has following beneficial effect: the sort signal control system that the present invention designs and develops; Can realize level collection second of data; Thereby comprehensive and careful grasp intersection information has solved the bottleneck problem of parallel simulation technique; Adopt the off-line algorithm Adaptability Analysis method that selection combines with on-line Algorithm, realized the on-line selection of control algolithm, avoided the control strategy problem of aging that exists in the system in the past; Use parallel simulation technique realized control algolithm in line parallel emulation and on-line evaluation function, solved emulation and controlled the derailing problem; Simultaneously, set up the thought of algorithmic match rule base, make this system also decision support is provided for the application of complicated control algolithm based on off-line.In addition, the extensibility of this system is strong, in case there is new algorithm to produce, can carry out off-line analysis, embeds in the algorithmic match rule base, for realizing that further control strategy lays the foundation.

Below in conjunction with description of drawings and embodiment the present invention is done further detailed description.

Description of drawings

Fig. 1: a kind of traffic signal control system structural representation provided by the present invention based on parallel simulation technique;

Fig. 2: be data acquisition flow figure among the present invention;

Fig. 3: for the off-line algorithm Adaptability Analysis is set up algorithmic match rule base synoptic diagram;

Fig. 4: for on-line Algorithm among the present invention is selected synoptic diagram;

Fig. 5: be on-line Algorithm emulation, evaluation process flow diagram;

Fig. 6: for outfield, Huairou coil is laid synoptic diagram;

Fig. 7: be Highway Administration Bureau's crossing traffic flow data clusters figure as a result;

Fig. 8: separate algorithm control design sketch for adopting coordination game cooperation in Highway Administration Bureau's crossing signal controlling.

Embodiment

HuaiRou, Beijing City downtown roads host will be by 3 vertical 10 horizontal compositions, and three main roads in north and south are " youth road, welcome road, eastern loop ", in ten rank streets of thing, are the backbone that goes with street, Nanhua, Fu Le Beijing University street, mansion Front St.4 rotary islands are arranged in the road network, and 18 signalized crossings adopt system implementation of the present invention Huairou whistle control system.

At present, the characteristics of Huairou whistle control system are: (1) each signalized intersections is buried inductive coil underground according to the form like Fig. 6, gathers the crossing traffic amount through coil checker; (2) adopt the single point signals lamp control method.Although this control mode can collect the volume of traffic of Huairou road network, because the restriction of detector parameters and performance can not realize level transmission second of the volume of traffic.Simultaneously, although control algolithm has been done some optimal design, the traffic behavior complicated for the Huairou do not have excellent adaptability.

The novel signal control system that the present invention designed is applied in Highway Administration Bureau's crossing signal controlling in this city, practical implementation is following:

1. data acquisition module

Adopt coil checker MUD3002 to gather crossing coil data, the own characteristic of using this detecting device with and design on opening, design crossing single-chip data acquisition system.(equipment provides low level when having car to sail coil in high-low level output through the direct processing and detecting device of single-chip microcomputer MUD3002; Provide high level when rolling coil away from); And design data transmission unit; Realize the passback of outer field data, through fiber optic with data back to remote server (with reference to Fig. 2).

Coil checker MUD3002 is a kind of single, double passage wagon detector that aims at vehicle in and out port control and design, and each passage all has two kinds of export structures (photoelectricity is isolated output and relay output).For data acquisition, two kinds of working methods are arranged: a kind of is exactly the output level that detects MUD3002; Another kind is that host computer obtains current coil state through serial communication.Corresponding 12 the MUD3002 equipment of 24 coils in Highway Administration Bureau crossing; Inquiry one is taken turns the coil state and is approximately needed 3s, havoc the authenticity of data, be to improve acquisition speed; This module adopts the level query function of MUD3002, carries out the data acquisition transmission through single-chip microcomputer.Build test platform and detect single-chip microcomputer and gather the used time of one-period and be approximately 500ms, guarantee that data in real time is reliable, solved the bottleneck problem of parallel simulation technique---the hysteresis quality of data acquisition.

Have nybble by data acquisition module altogether to the data that data processing module transmits, first three byte is deposited the level state value of 24 coils, and last byte is a check byte.

2. data processing module

(1) build the Data Detection platform, 4 bytes that single-chip microcomputer is passed back are carried out verification and are confirmed, extract each information line data library storage of going forward side by side, for the extraction of the follow-up volume of traffic provides basic data.

(2) from database, extract real-time high-low level data and accomplish following data statistic analysis processing:

First real time data processing; The real-time high-low level data that utilization extracts screen out the traffic parameter that can reflect the crossing real-time traffic states; Like Intersection Traffic Volume information such as the real-time magnitude of traffic flow, time occupancy, time headway, the speed of a motor vehicle; The line data library storage of going forward side by side, for algorithm on-line selection and emulation provide foundation, the processing procedure of traffic parameter is following:

1) magnitude of traffic flow Q: the magnitude of traffic flow is to pass through the vehicle number of a certain position in the unit interval, and unit is/hour.Q＝N/T。Adopt the method for recursion every at a distance from the 1s statistics once before the magnitude of traffic flow of 5min, detecting device has car through being designated as " 1 ", in the database, from t ₀Constantly begin, the number of adding up " 1 " in 5 minutes promptly:

$N=\underset{t_0}{\overset{{\mathrm{<figure-callout\; id="0"\; label="t"\; filenames="HSA00000027238800041.png,HSA00000027238800051.png"\; state="\{\{state\}\}">t</figure-callout>}}_0+5}{\mathrm{\&Sigma;}}}1_{\&prime;\&prime;}^{\&prime;\&prime;},$

Flow Q=N/5 (veh/min) then.

2) vehicle occupation rate: occupation rate is the ratio of summation with the road section length of the link length that vehicle takies in the highway section.Owing to be difficult to measure, use the time occupation rate for it usually, promptly, represent with alphabetical o at the summation of the one-period pulse signal width that vehicle obtains through wagon detector in the time and the ratio of cycle duration.Adopt the every separated 1s of method of recursion to add up the once vehicle occupation rate of preceding 5min.

In database, add up all negative edges in 5 minutes t constantly _{Negative edge}With rising edge moment t _{Rising edge}The summation of the poor pulse signal width that is vehicle passing detection device in the one-period and obtains.Because the occupation rate of statistics is a second level recursion, so following four kinds of situation can appear in the period of getting.

1. from database, get 5 minutes data, first data are " 0 ", and last data is that " 1 " note is done (0,1).

2. from database, get 5 minutes data, first data are " 0 ", and last data is that " 0 " note is done (0,0).

3. from database, get 5 minutes data, first data are " 1 ", and last data is that " 0 " note is done (1,0).

4. from database, get 5 minutes data, first data are " 1 ", and last data is that " 1 " note is done (1,1).

Under (0,1) situation:

$O=\left(\right|t_{\&prime;\&prime;}^{\&prime;\&prime;}-0_{\mathrm{first}}_{\&prime;\&prime;}^{\&prime;\&prime;}|+\mathrm{\&Sigma;}|1_{\&prime;\&prime;}^{\&prime;\&prime;}-0_{\&prime;\&prime;}^{\&prime;\&prime;}|+|1_{\mathrm{last}}_{\&prime;\&prime;}^{\&prime;\&prime;}-t+5_{\&prime;\&prime;}^{\&prime;\&prime;}|)\&times;100\%/5*60,$

Under (0,0) situation:

$O=\left(\right|t_{\&prime;\&prime;}^{\&prime;\&prime;}-0_{\mathrm{first}}_{\&prime;\&prime;}^{\&prime;\&prime;}|+\mathrm{\&Sigma;}|1_{\&prime;\&prime;}^{\&prime;\&prime;}-0_{\&prime;\&prime;}^{\&prime;\&prime;}|)\&times;100\%/5*60,$

Under (1,1) situation:

$O=\left(\mathrm{\&Sigma;}\right|1_{\&prime;\&prime;}^{\&prime;\&prime;}-0_{\&prime;\&prime;}^{\&prime;\&prime;}|+|1_{\mathrm{last}}_{\&prime;\&prime;}^{\&prime;\&prime;}-t+5_{\&prime;\&prime;}^{\&prime;\&prime;}|)\&times;100\%/5*60,$

Under (1,0) situation:

$O=\left(\mathrm{\&Sigma;}\right|1_{\&prime;\&prime;}^{\&prime;\&prime;}-0_{\&prime;\&prime;}^{\&prime;\&prime;}\left|\right)\&times;100\%/5*60,$

The moment of beginning in 5 minutes is got in " t " expression in the formula, and the moment that finished in 5 minutes, " 0 are got in " t+5 " expression _First" moment of representing first " 0 ", " 1 _Last" represent last " 1 " constantly.

3) speed of a motor vehicle v _i: the observed reading of vehicle speed of a motor vehicle when the road section, in database,, calculate the absolute value of time difference between " 1 " and adjacent " 0 " from first " 1 " beginning of timing statistics section, the place speed of a motor vehicle of i car is:

$v_i=\frac{\stackrel{\&OverBar;}{l}}{|1_{\&prime;\&prime;}^{\&prime;\&prime;}-0_{\&prime;\&prime;}^{\&prime;\&prime;}|}{|}_i,$

The arithmetic mean of the place speed of a motor vehicle is in observation time:

${\stackrel{\&OverBar;}{v}}_t=\frac{1}{n}\underset{i=1}{\overset{n_1}{\mathrm{\&Sigma;}}}{v}_i$

Wherein, Be time mean speed (km/h), n ₁Be the vehicle number of observing in the observation time.Adopt the every separated 1s of method of recursion to add up the once time mean speed of preceding 5min.

When (0,0), under (0,1) situation: n ₁=N-1;

When (1,1), under (1,0) situation: n ₁=N.

Therefore:

${\stackrel{\&OverBar;}{v}}_t=\frac{1}{n_1}\underset{i=1}{\overset{n_1}{\mathrm{\&Sigma;}}}{v}_i(m/s).$

4) time headway: adjacent two cars arrives the mistiming in same place.Notebook data storehouse record data mode can know that time headway is the time difference of adjacent two rising edges, promptly adjacent two " 1 " and poor.Owing to do not have car through coil, only consider the time headway of vehicle in the green time in red signal interval.Adopt the every separated 1s of method of recursion to add up the once time headway of preceding 5min.

From database, get the data of 5 minute period and handle, the time difference that calculates last " 1 " and first " 1 " promptly:

t ₀＝|′1 _first′-′1 _last′|，

Judge whether red light was arranged in 5 minutes, if no red light is then, t=t ₀When (1,1), n=N, when (0,0), n=N-2, when (1,0) or (0,1), n=N-1; Have red light then, the statistics red light is counted k, calculates red light with the green light difference zero hour to be constantly $t_1=\underset{j=1}{\overset{k}{\mathrm{\&Sigma;}}}|t_{\mathrm{Red}}-t_{\mathrm{Green}}|,$ And t=t ₀-t ₁When (1,1), n=N-k, when (0,0), n=N-k-2, when (1,0) or (0,1), n=N-k-1.

Therefore have time headway to be:

It two is analysiss of statistical data; Its major function is exactly the data dictionary to each crossing; Adopt a kind of fuzzy c mean cluster analysis means that combine subtractive clustering and cluster validity to pass judgment on; Obtain the traffic data characteristic at crossing, foundation can reflect the rational flow section division threshold value of crossing data immanent structure, for the algorithm Adaptability Analysis lays the foundation.With Huairou Highway Administration Bureau crossing is example; With 24h is timing statistics, analyzes traffic flow data on April 24th, 20 days 1 April in 2009, is a data points with the vehicle flowrate of every 15min; Utilize fuzzy c mean cluster method to carry out data analysis; Obtain reflecting the reasonable flow section division threshold value (as shown in Figure 7) of crossing traffic flow data immanent structure, set up the staqtistical data base of reflection crossing traffic statistical flow characteristic, for the algorithm Adaptability Analysis lays the foundation.

(3) the signalized intersections real time data of data processing module extraction and statistics are used for method emulation, selection and estimate decision-making platform.Wherein real time data is used for control algolithm and selects in-circuit emulation; Statistics is used for the algorithm Adaptability Analysis.

3. control algolithm adaptability off-line analysis module

For satisfying the huge state space description demand of intersection signal lamp control mode, realizing parallel simulation technique and algorithm on-line Function of Evaluation, select for use Paramics as simulation software.

Paramics (PARAllel MICroscopic Simulator) is the product of Britain Quadstone Limited, and it has adopted parallel processing technique, can the various road networks of emulation from the single node to the nationwide scale.Road/network planning mould can reach 1,000,000 nodes, 4,000,000 highway sections, 32000 zones at most, calculates 250,000 cars simultaneously, and the speed Faster Than Real Time.In addition, Paramics provides the api function of secondary development, can realize linking with other simulated programs, geography information software, database etc., realizes man-machine interaction.

Paramics carries the road network Function of Evaluation, and the simulation evaluation report of generation is divided into simulation calculating report, statistical report; The analyzer report, GEH demarcates evaluation, and the data sync that emulation is come out according to PARAMICS generates the evaluating data report; Report can be read by EXCEL etc. simultaneously; Conveniently link with the simulation evaluation platform of being built by MATLAB, realize the on-line evaluation function of signal controlling algorithm, whole algorithm selects module to comprise two parts content.

This module is mainly accomplished the off-line analysis of control algolithm.The reasonable flow section of handling each crossing that obtains with statistics in the data processing module is divided into the basis; Using P aramics simulation software; The evaluation index of crossing minimum delay; Off-line simulation is studied the adaptability of different control algolithms with respect to crossing traffic behavior characteristic, thereby sets up the optimum magnitude of traffic flow matching relationship to different control algolithms, sets up the matching rule base (with reference to Fig. 3) of crossing flow section and signal controlling algorithm.The research of any control algolithm and enforcement all need be carried out the Adaptability Analysis of control algolithm based on the paramics simulation software, and analysis result is carried out database storing, and off-line is set up the matching relationship of various control algolithms and traffic behavior.For example,, " based on game theoretic traffic signals control "-a kind of new signal controlling algorithm is attempted using in the Highway Administration Bureau crossing in the Huairou.Set up Huairou emulation road network based on Paramics, according to actual conditions the crossing number of phases is set, this crossing is a two phase place: straight, left and straight, right.Through simulation study, can find that this control algolithm is applicable under the asymmetric situation of the magnitude of traffic flow, as East and West direction vehicle flowrate 800veh/h, during the vehicle flowrate 200veh/h of north-south, this algorithm relatively is suitable for (as shown in Figure 8).Like this,,, can set up the magnitude of traffic flow matching relationship that adapts with it through lots of emulation research to the Different control algorithm, for control strategy use and enforcement provides foundation.

4, control algolithm on-line selection module

Real time data to obtain in the data processing module is the basis, according to the control algolithm adaptability matching rule base that the simulation study of control algolithm is set up, and the signal controlling algorithm (with reference to Fig. 4) of on-line selection and real time traffic data coupling.In order to ensure the validity of control algolithm, to use based on the parallel decision of Paramics and support evaluation system (with reference to Fig. 5), on-line evaluation is under present real-time traffic states, and the validity of control algolithm provides the decision support foundation for whether the user uses this algorithm.

5. teleseme module

To pass through DSS and accomplish the control algolithm of effect assessment, and, be downloaded to teleseme and carry out this algorithm through the external interface of teleseme.

What should explain at last is: above embodiment only be used to the present invention is described and and unrestricted technical scheme described in the invention; Therefore, the present invention has been carried out detailed explanation although this explanation is implemented example with reference to above-mentioned each,, it will be understood by those of skill in the art that still and can make amendment or be equal to replacement the present invention; And all do not break away from the technical scheme and the improvement thereof of the spirit and scope of the present invention, and it all should be encompassed in the middle of the claim scope of the present invention.

Claims (3)

1. traffic signal control system based on parallel simulation technique; Comprise data acquisition module, data processing module, algorithm adaptability off-line analysis module, algorithm on-line selection module and teleseme execution module; It is characterized in that: described data acquisition module comprises detecting device and data transmission unit; Wherein detecting device is embedded in the signal cross crossing, is used for gathering in real time the crossing information of vehicle flowrate, and data transmission unit is responsible for the information that collects is sent to data processing module; Data processing module comprises real time data processing unit, data statistic analysis unit, data dictionary; Wherein the input end of real time data processing unit links to each other with the output terminal of data transmission unit in the data acquisition module; And go out traffic flow data according to the data computation of detecting device collection; Then traffic flow data is stored in database; Set up the signalized intersections data dictionary, the traffic parameter of the real-time traffic states that comprises in this signalized intersections data dictionary comprises: crossing real-time traffic flow amount, time occupancy, average headway, vehicle average velocity; Data statistic analysis unit in the data processing module is with the crossing information of vehicle flowrate in the data dictionary; Use the fuzzy C-means clustering analytical approach; This method is a kind of fuzzy c means clustering algorithm that combines subtractive clustering and cluster validity to pass judgment on, and confirms that the rational flow section of reflection crossing data immanent structure is divided threshold value; Algorithm adaptability off-line analysis module adopts simulation software; Flow section threshold value according to the data statistic analysis dividing elements; Based on the minimum evaluation index of crossing mean delay; Various control algolithms are carried out the applicability condition analysis, set up the matching rule base between various control algolithms and the magnitude of traffic flow section; Algorithm on-line selection module is an application simulation software; Adopt parallel simulation technique, according to the real-time traffic stream information, according to the control algolithm condition of compatibility in the matching rule base; The signal controlling algorithm that on-line selection and real-time traffic stream are complementary; And selected control algolithm carried out in-circuit emulation, and provide the evaluation index of signal controlling in real time, as the decision support of further this algorithm of enforcement; The teleseme execution module is according to the evaluation result of parallel in-circuit emulation, and the concrete execution optimal control algorithm of selecting through the communication interface that teleseme provides, is accomplished the enforcement of the optimization control scheme of signalized intersections.

2. a kind of traffic signal control system according to claim 1 based on parallel simulation technique; It is characterized in that: the detecting device in the data acquisition module adopts the coil vehicle detector with level output; Or the employing video detector, and the frequency of traffic flow data sampling and transmission is a second level.

3. traffic signal control method based on parallel simulation technique is characterized in that: carried out according to following steps by claim 1 or 2 described traffic signal control systems:

Step 1: data acquisition

By through being embedded in the detecting device at signal cross crossing, carry out the real-time collection of crossing information of vehicle flowrate;

Step 2: data processing

Step 2.1: the real time data processing unit in the data processing module goes out traffic flow data according to the data computation of detecting device collection;

Step 2.2: traffic flow data is stored in database, sets up the signalized intersections data dictionary;

Step 2.3: the data statistic analysis unit in the data processing module is used fuzzy c mean cluster Sub_FCM method with the crossing traffic flow data and is carried out volume of traffic cluster analysis, confirms that the rational flow section of reflection crossing data immanent structure is divided threshold value;

Step 3: algorithm adaptability off-line analysis

Simulation software in the algorithm adaptability off-line analysis module; Flow section threshold value according to data statistic analysis unit cluster analysis division; Based on the minimum evaluation index of crossing mean delay; Various control algolithms are carried out the applicability condition analysis, and promptly various control algolithms are under which kind of traffic flow section, to use to obtain optimum control effect, thereby set up the matching rule base between various control algolithms and the magnitude of traffic flow section;

Step 4: algorithm on-line selection

Application simulation software; Adopt parallel simulation technique, according to the real-time traffic stream information, according to the control algolithm condition of compatibility in the matching rule base; The signal controlling algorithm that on-line selection and real-time traffic stream are complementary; And selected control algolithm carried out in-circuit emulation, provide the evaluation index of signal controlling in real time, as the decision support of further this algorithm of enforcement;

Step 5: teleseme is carried out

According to the evaluation result of parallel in-circuit emulation, the concrete execution optimal control algorithm of selecting through the communication interface that teleseme provides, is accomplished the enforcement of the optimization control scheme of signalized intersections.

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