CN102610108A - Method for calculating green wave effective coordinated time - Google Patents

Method for calculating green wave effective coordinated time Download PDF

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CN102610108A
CN102610108A CN201210105182XA CN201210105182A CN102610108A CN 102610108 A CN102610108 A CN 102610108A CN 201210105182X A CN201210105182X A CN 201210105182XA CN 201210105182 A CN201210105182 A CN 201210105182A CN 102610108 A CN102610108 A CN 102610108A
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郭海锋
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Abstract

The invention discloses a method for calculating green wave effective coordinated time. For monitoring the running state and control effect of a trunk line green wave coordination control system to determine the switching time points of different trunk line traffic signal control schemes, a definition and a calculation method of effective coordinated time are firstly given, the running state of a current green wave coordination control system is dynamically monitored, a bottleneck intersection in a green wave coordination system is determined by accumulating punishment score values, and the influence of effective coordinated time on the switching time points of the signal control schemes is discussed lastly. As shown by a simulation test result, the running state of the green wave coordination control system can be effectively monitored by adopting the effective coordinated time, the bottleneck intersection in the system is discovered accurately, and technical support can be provided for improving a trunk line traffic organism and perfecting a trunk line control scheme.

Description

The computing method of a kind of green ripple effective coordination time
Technical field
The present invention relates to traffic medium green wave system system control field, particularly relate to a kind of dynamic monitoring and controlling method of green wave system system running status.
Background technology
So-called " green ripple " is meant that wagon flow along in certain bar main route traveling process, obtains green light all-clear one by one continuously, passes through all crossings on the way unblockedly.Existing green wave coordination control method is selected optimization aim from different perspectives, seeks optimum bandwidth unidirectional or the two-way green wave coordination control system.Practical application shows; It is better that green wave coordination is controlled under low discharge or the unsaturation situation effect; Wagon flow can be with certain speed continuously through several signalized intersections; But relatively poor at high flow capacity or the next effect of jam situation, peak period even " deadlock " phenomenon that downstream road section queuing vehicle is spilled over to crossing, the upper reaches occurs.Yet; Owing to lack monitoring assessment technique to the mains system running status; Cause green wave coordination control method that main line implements not adjust the corresponding signal controlling schemes in time, therefore be difficult to congested traffic stream on the main line is controlled in time and dredged according to the operation conditions of total system.In fact, if under a certain transportation condition, the utilizable bandwidth of green wave coordination control system is less, and other are beneficial to the main line controlling schemes of dredging current congested flow then should to switch execution.But existing main line control method for coordinating still can not be realized above-mentioned functions.Though ripe relatively urban road traffic state method of discrimination can be differentiated road traffic state; But the traffic data that needs in the method also is difficult to obtain under realistic situation; In addition, for the main line coordinated control system, a certain highway section or a certain crossing take place crowded; The switching signal controlling schemes may not necessarily cause main line to coordinate control fails immediately, if may make the control effect undesirable on this basis.For improving the control effect of main line coordinated control system, strengthen its robustness, need a kind ofly coordinate the method that the control effect is monitored evaluation in real time, for the switching time point of confirming different main line traffic signals controlling schemes provides technical support to main line.
Summary of the invention
The present invention is the basis with the real time traffic data that traffic detecting device on the road collects, and designs the computing method of a kind of effective coordination time, the running status of monitoring green wave coordination system, and be that instrument carries out simplation verification through programming to said method with VISSIM.
In order to solve the problems of the technologies described above, the technical scheme that the present invention adopts is:
A kind of dynamic monitoring and controlling method of green wave system system running status mainly may further comprise the steps:
(1) the definition effective coordination time;
(2) accumulative total punishes that the mode of score value confirms the bottleneck crossing in the green wave coordination system;
(3) combine the green light excess time of bottleneck crossing acquisition and the algorithmic formula of effective coordination time, calculate the effective coordination time;
(4) according to the effective coordination time of computing system green beam controlling system running status is dynamically supervised.
The described effective coordination time is meant that part of time that can really play the current effect of green ripple in the green wave coordination control procedure.
Said effective coordination Time Calculation method:
(1) calculates G LocAnd G RemParameter;
(2) confirm the bottleneck crossing that green wave system is united;
(3), calculate the effective coordination time according to algorithmic formula;
The process of calculating the effective coordination time is following:
(1) whether the green ripple direction of monitoring crossing i red time finishes, if then turn to (2), otherwise continues monitoring, i=1, and 2 ..., N;
(2) the green time G (i) of the green ripple direction of acquisition current demand signal cycle crossing i, i=1,2 ..., N;
(3) the local zone time G of calculating crossing i Loc(i), i=1,2 ..., N;
(4) G excess time of calculating crossing i Rem(i), i=1,2 ..., N;
(5) the least residue time min{G of N crossing of calculating Rem(i) }, i.e. effective coordination time ACT;
(6) the effective coordination time of output current demand signal cycle green wave coordination control system, and to min{G Rem(i) } the crossing i under gives 1 minute punishment, i.e. punish (i)=punish (i)+1;
(7) if ACT less than threshold value δ, then current green wave coordination control fails, output max{punish (i), i=1 ..., the crossing Int (i) under the N}; Otherwise change step (1), next signal period is monitored.
Definite method of bottleneck crossing among the present invention:
(1) calculating elastic time G Rem(i);
(2) each signal period of current green wave coordination control system finishes, and chooses G Rem(i) minimum crossing, and to give its numerical value be 1 minute punishment;
(3) when the effective coordination time of green wave coordination control system is lower than a certain threshold value, obtain punishment mark maximum cross mouth, be the bottleneck crossing of system.
Described calculating elastic time method: G Rem(i)=G (i)-G Loc(i), wherein G (i) is green ripple direction place, certain a crossing phase place green time, G Loc(i) be local zone time.
Visible by above technical scheme provided by the invention; The bottleneck crossing that the present invention confirms; Help the origin cause of formation of blocking up is analysed in depth, further improve the traffic capacity of mains system, utilize effective coordination Time Calculation method; Can monitor in real time the running status of green wave coordination control system, for the switching time point of confirming different main line traffic signals control modes provides technical support.
Description of drawings
Fig. 1 confirms green wave coordination control system bottleneck crossing process flow diagram in the dynamic monitoring and controlling method of a kind of green wave system system running status provided by the invention;
Fig. 2 is the dynamic monitoring and controlling method green wave coordination control system Space Time figure in the ideal case of a kind of green wave system system running status provided by the invention;
Fig. 3 is dynamic monitoring and controlling method green wave coordination control system Space Time figure under jam situation of a kind of green wave system system running status provided by the invention;
Fig. 4 is the saturation headway distribution plan of the dynamic monitoring and controlling method of a kind of green wave system system running status provided by the invention;
Fig. 5 is the canalization structural representation of crossing in the dynamic monitoring and controlling method of a kind of green wave system system running status provided by the invention;
Fig. 6 is the dynamic monitoring and controlling method medium green ripple coordinated control system effective coordination time diagram of a kind of green wave system system running status provided by the invention.
Embodiment
In order to make those skilled in the art person better understand the present invention program, do further to specify in the face of the practical implementation method of technical scheme down.
Analyze in conjunction with accompanying drawing 2; In theory, can calculate the bandwidth of system under set transportation condition when carrying out green wave coordination control, still; When some crossings take place to crowd in coordinating the crossing of controlling in the actual motion; This crossing just becomes the bottleneck point of total system, and the bandwidth of design only some upper reaches that are used to let pass is sailed the wagon flow of coming, another part queuing vehicle before the initial moment stop line of green light that then is used to let pass; Cause design bandwidth in actual traffic meeting in service discount to some extent, shown in accompanying drawing 3.
Can find out that by accompanying drawing 2, accompanying drawing 3 design bandwidth is a theoretical value, be fit to the low discharge situation.Under high flow capacity and saturated conditions, the queuing vehicle in the actual motion before the common for the previous period first clearance stop line of each crossing green light, the green light back segment time just participates in the green wave coordination clearance upper reaches and sails next wagon flow.If the green ripple direction in crossing queuing vehicle number is more, will cause this crossing to participate in the time less of green wave coordination, the portion of time that has promptly the taken design bandwidth queuing vehicle before the initial moment stop line of green light that is used to let pass.This shows that each crossing effective coordination time is more little, the probability through the crossing, downstream is more little continuously to mean the wagon flow of rolling away from from the upper reaches; When effective coordinated time is lower than a certain threshold value; Green wave coordination will be difficult to realize, therefore, be necessary to calculate in real time the numerical value of effective coordination time.
In invention, the effective coordination time, (Available Coordinated Time ACT) was meant that part of time that can really play the current effect of green ripple in the green wave coordination control procedure.
Can know by accompanying drawing 2, accompanying drawing 3 and aforementioned analysis; The green time of some phase places can be divided into two parts; A part is used to discharge the preceding queuing vehicle of stop line, and another part discharges the vehicle that the current green light in crossing, the upper reaches is let pass and come, and makes it pass through the crossing fluently.
In a certain signal period, the flex time G of the green ripple direction in each crossing Rem(i) many more, the effective coordination time that system obtains is many more.The effective coordination time of total system is restricted by flex time minimum in each crossing, even the flex time G of certain crossing Rem(i) less, then can influence the effective coordination time that current demand signal cycle total system is moved, become the bottleneck point of system.
Calculate G LocAnd G Rem:
Considering the actual conditions of existing traffic signal control system, is example with the SCATS system, and each track is laid with detecting device before the SCATS system shutdown line, can calculate the time interval of adjacent two cars through detecting device in real time.Under the saturated conditions, the preliminary stage that green light begins, the queuing vehicle passes through detecting device with the form of fleet, and saturation headway is generally 1.5~3.5 seconds, and the present invention also not only is confined to the SCATS system.
Local zone time
Figure BSA00000699277500051
T Gap(j)<4, flex time G Rem(i)=G (i)-G Loc(i), T wherein Gap(j) be detected j interval time, work as T GapDuring (j) less than 4 seconds, what think release is the queuing vehicle; In case T Gap(j) greater than 4 seconds, then follow-up detected again vehicle is thought the vehicle of just having let pass and sailed in crossing, the upper reaches, G WasteBe the green light initial abstraction time.
Obviously, 0≤G Rem(i)≤and G (i), even the initial moment of green light, the queuing vehicle number is 0 before the stop line, then the green time of current crossing can all be used for green wave coordination; If the queuing vehicle number is more before the initial moment stop line of current crossing green light, then G Rem(i) will be tending towards 0, promptly to be used for the time of green wave coordination be 0 in the crossing.
Calculate the effective coordination time:
Can know the effective coordination time ACT=min{G in green wave coordination control system current demand signal cycle by aforementioned analysis Rem(i) }.
The computation process of effective coordination time is following:
(1) whether the green ripple direction of monitoring crossing i red time finishes, if then turn to (2), otherwise continues monitoring, i=1, and 2 ..., N;
(2) the green time G (i) of the green ripple direction of acquisition current demand signal cycle crossing i, i=1,2 ..., N;
(3) the local zone time G of calculating crossing i Loc(i), i=1,2 ..., N;
(4) G excess time of calculating crossing i Rem(i), i=1,2 ..., N;
(5) the least residue time min{G of N crossing of calculating Rem(i) }, i.e. effective coordination time ACT.
(6) the effective coordination time of output current demand signal cycle green wave coordination control system, and to min{G Rem(i) } the crossing i under gives 1 minute punishment, i.e. punish (i)=punish (i)+1;
(7) if ACT less than threshold value δ, then current green wave coordination control fails, output max{punish (i), i=1 ..., the crossing Int (i) under the N}; Otherwise change step (1), next signal period is monitored.
Confirm the bottleneck crossing:
Analyze in conjunction with accompanying drawing 1, the present invention is the time interval with the signal period of current green wave coordination control system, when each signal period finishes, chooses G Rem(i) minimum crossing, and to give its numerical value be 1 minute punishment.When the effective coordination time of green wave coordination control system is lower than a certain threshold value, then show current green wave coordination control fails, obtain the bottleneck crossing that punishment mark maximum cross mouth is this system this moment.
Can be known that by Law of Barrel the effective coordination time of actual motion medium green ripple coordinated control system receives the influence of bottleneck crossing in the system bigger, the effective coordination time of the actual execution of system is depended on the obtainable green light of this bottleneck crossing institute excess time.
Verify in conjunction with simulated experiment:
1) conceptual design
The present invention is a research object with five continuous crossings, and the import canalization structure of crossing is shown in accompanying drawing 5.The road at place, five crossings is a city thoroughfare, and distance is about 600 meters between each crossing.In experiment, be instrument with the VISSIM simulation softward, utilize VB to call the com interface of VISSIM, reading detector data and signal controlling machine parameter, simulated time are 3600 seconds, and the magnitude of traffic flow of setting increases with the increase of simulation time gradually.Each crossing east-west direction carries out green wave coordination control, and the shared signal cycle duration is 100 seconds, and the bandwidth of system design is 25 seconds, and promptly in theory in bandwidth have jurisdiction over 25 seconds time ranges, the vehicle that E rolls away from from the crossing can the smooth crossing A that passes through in fluent ground.
2) running status of green wave coordination control system
In order to analyze the implementation effect of green wave coordination control system, the effective coordination time through computing system during simulating is carried out complete monitoring to it, and the effective coordination change of time is seen shown in the accompanying drawing 6 during the simulation.Among the figure, transverse axis is the shared signal cycle of green wave coordination control system, and the longitudinal axis is the effective coordination time of each signal period mains system.Can find out that from accompanying drawing 6 the effective coordination time of green wave coordination control system reduces along with the increase of the magnitude of traffic flow gradually during the simulation.Therefore, can carry out dynamic monitoring to the running status of green wave coordination control system through the dynamic change of monitoring effective coordination time.
Analog result shows, " the green ripple " of green wave coordination control on can not realization theory is current under the congestion, can not crowded wagon flow be given in time to dredge again.Timely switching signal controlling schemes when therefore, occurring blocking up.
3) the effective coordination time threshold is analyzed
The switching time of confirming directly to influence main line unlike signal controlling schemes of effective coordination time threshold δ.In order to confirm optimum δ value; The method that the present invention adopts exploration to δ respectively value be 3,4,5,6,7; When effective coordinated time during less than δ; Then the signal controlling scheme is switched to the TSS-CAI controlling schemes that existing document is adopted, and the experimental result of different values has been carried out comparative analysis, see shown in the table 1.
The comparative analysis result of the different effective coordination time threshold of table 1 δ
Figure BSA00000699277500081
Experiment shows; When δ=5; The performance index of system are optimum during the simulation; Promptly when effective coordinated time during smaller or equal to 5 seconds existing green wave coordination control system should cut off green ripple, and use the signal controlling scheme that other help dredging congested flow instead, so that in time crowded wagon flow is dredged.
Need to prove: under the prerequisite that does not break away from know-why of the present invention, can do some improvement, these improvement also can be regarded as protection scope of the present invention.

Claims (4)

1. the computing method of a green ripple effective coordination time may further comprise the steps:
(1) whether the green ripple direction of crossing i red time finishes in the monitoring green wave coordination system, if then turn to (2), otherwise continues monitoring, i=1, and 2 ..., N;
(2) the green time G (i) of the green ripple direction of acquisition current demand signal cycle crossing i, i=1,2 ..., N;
(3) the local zone time G of calculating crossing i Loc(i), i=1,2 ..., N;
(4) G excess time of calculating crossing i Rem(i), i=1,2 ..., N;
(5) the least residue time min{G of N crossing of calculating Rem(i) }, the said least residue time is effective coordination time ACT;
(6) the effective coordination time of output current demand signal cycle green wave coordination control system, and to min{G Rem(i) } the crossing i under gives 1 minute punishment, i.e. punish (i)=punish (i)+1;
(7) if ACT less than threshold value δ, then current green wave coordination control fails, output max{punish (i), i=1 ..., the crossing Int (i) under the N}; Otherwise change step (1), next signal period is monitored.
2. the computing method of a kind of according to claim 1 green ripple effective coordination time is characterized in that, the said effective coordination time is meant that part of time that can really play the current effect of green ripple in the green wave coordination control procedure.
3. the computing method of a kind of according to claim 1 green ripple effective coordination time is characterized in that, said local zone time G Loc(i) computing method are:
G loc ( i ) = Σ j = 1 n T gap ( j ) + G waste , T gap(j)<4
Wherein, T Gap(j) be the interval time of adjacent vehicle, work as T through detecting device GapDuring (j) less than 4 seconds, what think release is the queuing vehicle; In case T Gap(j) greater than 4 seconds, then follow-up detected again vehicle is thought the vehicle of just having let pass and sailed in crossing, the upper reaches, no longer participates in the calculating of formula (1), G interval time WasteBe the green light initial abstraction time.
4. the computing method of a kind of according to claim 1 green ripple effective coordination time is characterized in that, said excess time G Rem(i) computing method are:
G Rem(i)=G (i)-G Loc(i), G (i) is the green time of the green ripple direction of crossing i wherein.
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CN108877246A (en) * 2018-07-25 2018-11-23 公安部交通管理科学研究所 A kind of Automatic computing system and its calculation method of main line two-way green wave coordination parameter
CN109993985A (en) * 2017-12-29 2019-07-09 奥迪股份公司 Green wave band running condition control method, the vehicles and the storage medium of the vehicles
CN111462476A (en) * 2019-01-22 2020-07-28 上海宝康电子控制工程有限公司 Method for realizing green wave effect inspection and prediction based on neural network algorithm under TensorFlow framework
CN111696348A (en) * 2020-06-05 2020-09-22 南京云创大数据科技股份有限公司 Multifunctional intelligent signal control system and method
CN111932871A (en) * 2020-06-28 2020-11-13 银江股份有限公司 Regional real-time traffic control strategy recommendation system and method
CN111951580A (en) * 2019-05-14 2020-11-17 阿里巴巴集团控股有限公司 Signal lamp coordination method, computing equipment and storage medium
CN111951568A (en) * 2019-05-14 2020-11-17 阿里巴巴集团控股有限公司 Signal lamp coordination method, computing equipment and storage medium

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Cited By (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104916142B (en) * 2015-02-27 2017-08-29 云南大学 A kind of crossing self-adapting traffic signal control method of giving priority to trunk roads
CN104916142A (en) * 2015-02-27 2015-09-16 云南大学 Adaptive intersection traffic signal control method of trunk road priority
CN106297333A (en) * 2016-10-28 2017-01-04 东南大学 A kind of main line green ripple appraisal procedure of car record of making a slip of the tongue based on intersection
CN109993985A (en) * 2017-12-29 2019-07-09 奥迪股份公司 Green wave band running condition control method, the vehicles and the storage medium of the vehicles
CN108877246B (en) * 2018-07-25 2020-11-10 公安部交通管理科学研究所 Automatic calculation system and calculation method for trunk line bidirectional green wave coordination parameters
CN108877246A (en) * 2018-07-25 2018-11-23 公安部交通管理科学研究所 A kind of Automatic computing system and its calculation method of main line two-way green wave coordination parameter
CN111462476A (en) * 2019-01-22 2020-07-28 上海宝康电子控制工程有限公司 Method for realizing green wave effect inspection and prediction based on neural network algorithm under TensorFlow framework
CN111951580A (en) * 2019-05-14 2020-11-17 阿里巴巴集团控股有限公司 Signal lamp coordination method, computing equipment and storage medium
CN111951568A (en) * 2019-05-14 2020-11-17 阿里巴巴集团控股有限公司 Signal lamp coordination method, computing equipment and storage medium
CN111951568B (en) * 2019-05-14 2023-08-22 阿里巴巴集团控股有限公司 Signal lamp coordination method, computing device and storage medium
CN111696348A (en) * 2020-06-05 2020-09-22 南京云创大数据科技股份有限公司 Multifunctional intelligent signal control system and method
CN111932871A (en) * 2020-06-28 2020-11-13 银江股份有限公司 Regional real-time traffic control strategy recommendation system and method
CN111932871B (en) * 2020-06-28 2021-06-29 银江股份有限公司 Regional real-time traffic control strategy recommendation system and method

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Application publication date: 20120725