CN102867422A - Vehicle ad hoc network-based real-time single-point intersection signal lamp control method - Google Patents

Vehicle ad hoc network-based real-time single-point intersection signal lamp control method Download PDF

Info

Publication number
CN102867422A
CN102867422A CN2012103384466A CN201210338446A CN102867422A CN 102867422 A CN102867422 A CN 102867422A CN 2012103384466 A CN2012103384466 A CN 2012103384466A CN 201210338446 A CN201210338446 A CN 201210338446A CN 102867422 A CN102867422 A CN 102867422A
Authority
CN
China
Prior art keywords
vehicle
information
signal
length
time
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN2012103384466A
Other languages
Chinese (zh)
Other versions
CN102867422B (en
Inventor
安实
崔建勋
赵蒙
关积珍
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Harbin Institute of Technology
Original Assignee
Harbin Institute of Technology
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Harbin Institute of Technology filed Critical Harbin Institute of Technology
Priority to CN201210338446.6A priority Critical patent/CN102867422B/en
Publication of CN102867422A publication Critical patent/CN102867422A/en
Application granted granted Critical
Publication of CN102867422B publication Critical patent/CN102867422B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Landscapes

  • Traffic Control Systems (AREA)

Abstract

The invention discloses a vehicle ad hoc network-based real-time single-point intersection signal lamp control method, relating to a real-time city single-point intersection signal lamp control method, and solving the problems that by using a signal control method for detecting the queuing length at entrance passages by virtue of a coil detector in the prior art, the calculated queuing length is easily subjected to influence of detection speed errors and cause large difference between the estimated queuing length and the practical queuing length. The control method is used for traffic control. The method comprises the following steps of: based on a vehicle ad hoc network, grouping the queuing vehicles at each entrance lane, selecting certain vehicle as an external communication node of the vehicle ad hoc network, and sending the queuing length information of vehicles to a signal controller of a signal intersection signal lamp by the vehicle; and based on the vehicle queuing information, and completing calculation on next signal control period length and design on the green lamp phase position combination timing by the signal controller.

Description

Single-point cross junction signal lamp real-time control method based on car self-organization network
Technical field
The present invention relates to the signal lamp real-time control method of city single-point cross junction.
Background technology
Many countries all show great attention to city, especially metropolitan traffic jam issue.The most frequently used method is to realize signal controlling in crossing.The signal control method of single-point crossing roughly can be divided into 3 classes: signal controlling, timing signal are controlled and real-time signal control at times.Based on the signal controlling of different periods in one day, be divided into certain several period with one day, each period is adopted a kind of signal timing dial method that pre-establishes.Timing signal control then no matter how traffic environment and time change, is adopted static signal timing plan fully.Real-time signal control is by analyzing real-time traffic circulation situation, and Automatic Optimal is adjusted signal time distributing conception.
The advantage of at times signal controlling and timing signal control is to need not extra traffic information collection equipment and complicated control algolithm, but its control effect is compared real-time signal control and had larger gap.On the other hand, real-time signal control obtains by Real-time Traffic Information, can formulate more reasonably signal timing plan, thereby alleviates traffic congestion.But the difficult point of its core be how to detect accurately, real-time transport information.Current, the most frequently used transport information checkout equipment in signalized intersections place mainly comprises: coil checker, ultrasonic detector, microwave detector and video detector etc.Coil checker and ultrasonic monitor need to be embedded in the below, road surface, cause its maintenance cost higher.Although video and microwave detector are easy to install, and can cause higher maintenance cost equally.
At present, the signal controlling according to each entrance driveway queue length of crossing is optimum real-time signal control method.In engineering practice in the past, for realizing this control method, need to coil checker be installed in every track of each entrance driveway.The detection of queue length depends on overflow the back data of detecting device of upstream queue length detecting device and downstream.In addition, the queue length of calculating is very easy to be subject to the impact of detection speed error, thereby causes estimated queue length and actual deviation larger.
Summary of the invention
The purpose of this invention is to provide a kind of single-point cross junction signal lamp real-time control method based on car self-organization network, utilize coil checker to detect the signal control method of each entrance driveway queue length to solve prior art, the queue length of calculating is very easy to be subject to the impact of detection speed error, thereby causes the larger problem of estimated queue length and actual deviation.
This method is based on car self-organization network, queuing vehicle to each entrance driveway track is formed a team, and select a certain vehicle as the correspondence with foreign country node of this car self-organization network, by the signal controller transmission vehicle queue length information of this vehicle to this signalized intersections signal lamp; Signal controller is finished the calculating of next signal control cycle length and the design of green light phase combination timing based on vehicle queue information.
The proposition of car self-organization network (VANETs) technology, so that need not in crossing any transport information checkout equipment to be installed, just can communicate by letter with signal controller by the communicating by letter of car and car, vehicle, obtain the queue length transport information of each entrance driveway of crossing, thereby calculate exactly and timing.Solved prior art and utilized coil checker to detect the signal control method of each entrance driveway queue length, the queue length of calculating is very easy to be subject to the problem of detection speed error effect.
Description of drawings
Fig. 1 is based on the crossing real-time signal control system schematic of VANETs; Fig. 2 is the synoptic diagram of cross junction entrance driveway and lane number; Fig. 3 is that the phase place of dicyclo signal controlling arranges corresponding diagram; The workflow diagram of Fig. 4 system; Fig. 5 is the vehicle exemplary plot of forming a team.
Embodiment
Embodiment one: specify present embodiment below in conjunction with Fig. 1 to Fig. 5.The method of present embodiment is based on car self-organization network, queuing vehicle to each entrance driveway track is formed a team, and select a certain vehicle as the correspondence with foreign country node of this car self-organization network, by the signal controller 1 transmission vehicle queue length information of this vehicle to this signalized intersections signal lamp; Signal controller 1 is finished the calculating of next signal control cycle length and the design of green light phase combination timing based on vehicle queue information.
(1) system architecture of the inventive method
The function of system of the present invention is the real-time signal control of realizing the single-point cross junction.System forms and has comprised: signal controller 1 and car self-organization network (VANETs).Car self-organization network can be realized the function of communicating by letter between communicating by letter of car and workshop and vehicle and the intersection signal controller 1.The function of car self-organization network is to obtain the information of crossing inlet road vehicle queue length, selects " leader " vehicle (leader) in MANET inside, regularly sends queue length information to signal controller by " leader " vehicle based on Che-Che communication.Signal controller is realized the real-time Optimal Signals control based on the track queue length, has mainly comprised signal controlling cycle optimization module and phase place green time and has optimized module.System's signal as shown in Figure 1.
(2) digital model of crossing and signal controlling phase place thereof
For realizing the real-time signal control of crossing, at first need digitization modeling is carried out in crossing and control phase thereof.Each entrance driveway of crossing is numbered successively according to orientation separately: east (E), south (S), west (W), north (N).Each entrance driveway supposition has 2 tracks, is respectively left turn lane (L) and craspedodrome/right-turn lane (F).Thereby, each entrance driveway track of crossing can be represented D=EF namely, EL, NF, NL, WF, WL, SF, SL with an indications D.Consequent crossing model as shown in Figure 2.
Based on the crossing digital model of setting up, the control that realizes this crossing can be set by dicyclo signal phase as shown in Figure 3.In a control cycle (cycle), signal controlling comprises altogether 4 phase places, is respectively: phase place 1(G1 and G5), phase place 2(G2 and G6), phase place 3(G3 and G7) and phase place 4(G4 and G8).
(3) workflow of system
The operational scheme of this system sees Fig. 4 for details.Every track of each entrance driveway after its current green time finishes, begins its queuing vehicle form a team (algorithm of forming a team is seen (4) joint), and when forming a team, and selects " leader " that form into columns (leader).Be selected as the vehicle of " leader " by accepting the transport information of formation member vehicle, calculate the queue length before of next current green time, and queue length information is regularly sent to signal controller.
When current green time began in the track, " leader " of this track queuing vehicle sent to signal controller (queue length is calculated and seen (5) joint) with final queue length result of calculation, then passes through the crossing.When the current green time of phase place 4 begins, signal controller is based on received queue length information, calculate next signal control cycle length and corresponding green light timing allocative decision (signal period and green light timing scheme see (6) and (7) save).
(4) based on the vehicle of the VANETs algorithm of forming a team
For the real-time signal control of crossing, the queue length of obtaining each each track of entrance driveway is vital.Can be directly separately information be sent to signal controlling machine with the vehicle of radio communication function, yet, when having more vehicle in the queuing, if vehicle is all communicated by letter with signal controller, the obstruction of communication will be caused, and the decline of signal controller calculated performance can be caused.Thereby, thinking of the present invention is: the vehicle of lining up on the track is formed a team, and (current green time finishes from this track during forming a team, begin to next current green time), then from form a team, select " leader " that form a team (leader), between " leader " vehicle and each the queuing vehicle, mode by radio communication is determined queue length, then by " leader " is unified queue length information is sent to signal controlling machine.Fig. 5 has provided the signal that vehicle is formed a team.
As follows for the designed detailed vehicle in a certain track, the crossing inlet road process of forming a team:
Step 1: the phase place setting of signalized intersections as shown in Figure 3.After the current green time in this track finished, the vehicle queue that reaches the crossing from this track began to form, and the vehicle of each arrival is near information that " leader " served as in request of vehicle broadcasting; The content that this information comprises is: the id information of the time of sending of unique vehicle ID information, this information, the longitude and latitude position of vehicle and intersection signal controller 1; Other vehicle that receives this information does not generate the information of self, but again broadcasts the information that this receives.
Step 2: its information of broadcasting of the vehicle contrast of broadcasting " leader " solicited message and received " leader " solicited message from other vehicle, then can to sending an information than its more Zao vehicle that enters queuing (position is more near the crossing), show the application of oneself abandoning " leader ";
Step 3: the final vehicle of determining form a team " leader " " election " result is sent to its member's vehicle, receive member's vehicle of " leader " information that vehicle sends, feed back an information as affirmation to " leader " vehicle; When " leader " vehicle received feedback information from member's vehicle, its can send one to this member's vehicle accept it as the affirmation information of member's vehicle; After member's vehicle receives affirmation information from " leader " vehicle, it will upgrade " leader " vehicle ID of self, and with " leader " share form a team in the information of other member's vehicle;
Step 4: the whole signal controlling except the green time of self is in the cycle, " leader " vehicle all receives the information from its member's vehicle, and periodically queue length information is sent to signal controller 1(queue length computing method see for details (5) joint).
Step 5: when the current green time of " leader " vehicle began, it no longer received any information from its member's vehicle, directly passed through the crossing;
Step 6: after current green time finished, repeating step 1 was to step 5.
(5) entrance driveway track queue length algorithm for estimating
After the current green time of phase place finished, the queuing in corresponding track began to form." leader " vehicle begins to receive the information of its member's vehicle.The vehicle queue length estimation formulas is as follows:
RQL D ( t ) = Σ i = 1 N V L i + ADBV × ( N - 1 ) - - - ( 1 )
Wherein, RQL represents the queue length in the current period t; D represents the coding in entrance driveway track, i.e. D=1, and 2 ..., 8(sees (2) joint); VL represents the average length of vehicle; ADBV represents the average headway between vehicle; N represents the vehicle number of forming a team.
" leader " vehicle calculates vehicle queue length according to formula (1), and this length is sent to signal controller.Signal controller is according to the vehicle queue length in current period and the first two cycle, and the mode of employing weighting calculates final vehicle queue length, such as formula (2):
QL D(t)=A×RQL D(t)+B×RQL D(t-1)+C×RQL D(t-2)(2)
Wherein: A+B+C=1; A=RQL D(t)/1 DB=(1-A) * A; 1 DThe length of expression import track D.
(6) signal controlling computation of Period method
The signal controlling cycle of a crossing can not be oversize can not be too short.If the signal controlling cycle is too short, it is comparatively frequent that signal phase switches, and the current green time of corresponding each phase place is shorter, just may cause the increase of intersection parking number and vehicle to start to walk frequently and stop.On the contrary, if the signal controlling excessive cycle will cause the waits for too long of each phase place queuing vehicle so.For this reason, the designed signal controlling Cycle Length computing method of the present invention are as follows:
Step 1: signal controller receives the queue length that each vehicle is formed a team, QL 1(t), QL 2(t) ..., QL 8(t)
Step 2: calculate respectively the maximum vehicle queue length in East and West direction and north-south:
MAX_Q 1(t)=max{QL 1(t),QL 5(t),QL 2(t),QL 6(t)} (3)
MAX_Q 2(t)=max{QL 3(t),QL 7(t),QL 4(t),QL 8(t)} (4)
Wherein, MAX_Q 1(t) be East and West direction maximum queue length in the cycle t; MAX_Q 2(t) be north-south maximum queue length in the cycle t.
Step 3: the Cycle Length of estimating temporary needs
R _ C L 1 ( t ) = N MAX _ Q 1 ( t ) × h - - - ( 5 )
R _ C L 2 ( t ) = N MAX _ Q 2 ( t ) × h - - - ( 6 )
Wherein, R_CL 1(t) be the signal period length of East and West direction temporary needs in the cycle t; R_CL 2(t) be the signal period length of north-south temporary needs in the cycle t;
Figure BDA00002134826500053
Be the vehicle number in the maximum queuing of East and West direction in the cycle t;
Figure BDA00002134826500054
Be the vehicle number in the maximum queuing in north-south in the cycle t; H is time headway.
Step 4: calculate the Cycle Length that needs
R_CL(t)=R_CL 1(t)+R_CL 2(t) (7)
Step 5: add red time and yellow time
R_CL(t)=R_CL(t)+intergreen_time (8)
intergreen_time=yellow_time+red_time (9)
Step 6: determine final signal period length
If, | R_CL (t)-CL (t) |≤Δ c, so the signal length CL in next cycle (t+1)=CL (t);
Otherwise, the signal length CL in next cycle (t+1)=R_CL (t).
Wherein, Δ c changes threshold value for the signal period length of setting; CL (t) is the signal period length of cycle t.
(7) phase place green light timing algorithm
In case determined the signal controlling cycle, just can determine according to following algorithm the green time of each phase place:
Step 1:, can obtain respectively in next cycle the East and West direction green time (GT that passes through according to the step 3 of signal controlling computation of Period method in (6) joint 1=R_CL 1And the current green time (GT in north-south (t)) 2=R_CL 2(t)), thus obtaining total green time is:
GT=GT 1+GT 2 (10)
Step 2: estimate that the green time in each entrance driveway track accounts for the ratio of total green time
R _ GT D = V D / C D Σ D = 1 8 V D / C D - - - ( 10 )
Wherein, R_GT DAccount for the ratio of total green time for the current green time of entrance driveway track D; V D/ C DThroughput ratio for entrance driveway track D.
Step 3: select corresponding green light phase place that pattern is set according to table 1;
Figure BDA00002134826500071
Step 4: according to formula (11), determine the final green time in each entrance driveway track
GT D=R_GT D×GT (11)。

Claims (5)

1. based on the single-point cross junction signal lamp real-time control method of car self-organization network, it is characterized in that this method is based on car self-organization network, queuing vehicle to each entrance driveway track is formed a team, and select a certain vehicle as the correspondence with foreign country node of this car self-organization network, by signal controller (1) the transmission vehicle queue length information of this vehicle to this signalized intersections signal lamp; Signal controller (1) is finished the calculating of next signal control cycle length and the design of green light phase combination timing based on vehicle queue information.
2. the single-point cross junction signal lamp real-time control method based on car self-organization network according to claim 1 is characterized in that the car self-organization network process of forming a team is as follows:
Step 1: after the current green time in this track finished, the vehicle queue that reaches the crossing from this track began to form, and the vehicle of each arrival is near information that " leader " served as in request of vehicle broadcasting; The content that this information comprises is: the id information of the time of sending of unique vehicle ID information, this information, the longitude and latitude position of vehicle and intersection signal controller (1); Other vehicle that receives this information does not generate the information of self, but again broadcasts the information that this receives.
Step 2: its information of broadcasting of the vehicle contrast of broadcasting " leader " solicited message and received " leader " solicited message from other vehicle, then can to sending an information than its more Zao vehicle that enters queuing, show the application of oneself abandoning " leader ";
Step 3: the final vehicle of determining form a team " leader " " election " result is sent to its member's vehicle, receive member's vehicle of " leader " information that vehicle sends, feed back an information as affirmation to " leader " vehicle; When " leader " vehicle received feedback information from member's vehicle, its can send one to this member's vehicle accept it as the affirmation information of member's vehicle; After member's vehicle receives affirmation information from " leader " vehicle, it will upgrade " leader " vehicle ID of self, and with " leader " share form a team in the information of other member's vehicle;
Step 4: the whole signal controlling except the green time of self is in the cycle, and " leader " vehicle all receives the information from its member's vehicle, and periodically queue length information is sent to signal controller 1.
Step 5: when the current green time of " leader " vehicle began, it no longer received any information from its member's vehicle, directly passed through the crossing;
Step 6: after current green time finished, repeating step 1 was to step 5.
3. the single-point cross junction signal lamp real-time control method based on car self-organization network according to claim 1 is characterized in that
The formula that vehicle queue length is estimated is as follows:
Figure FDA00002134826400011
Wherein, RQL represents the queue length in the current period t; D represents the coding in entrance driveway track, i.e. D=1, and 2 ..., 8; VL represents the average length of vehicle; ADBV represents the average headway between vehicle; N represents the vehicle number of forming a team;
" leader " vehicle calculates vehicle queue length according to formula (1), and this length is sent to signal controller.Signal controller is according to the vehicle queue length in current period and the first two cycle, and the mode of employing weighting calculates final vehicle queue length, such as formula (2):
QL D(t)=A×RQL D(t)+B×RQL D(t-1)+C×RQL D(t-2)(2)
Wherein: A+B+C=1; A=RQL D(t)/1 DB=(1-A) * A; 1 DThe length of expression import track D.
4. the single-point cross junction signal lamp real-time control method based on car self-organization network according to claim 1 is characterized in that signal controlling Cycle Length computing method are as follows:
Step 1: signal controller receives the queue length that each vehicle is formed a team, QL 1(t), QL 2(t) ..., QL 8(t);
Step 2: calculate respectively the maximum vehicle queue length in East and West direction and north-south:
MAX_Q 1(t)=max{QL 1(t),QL 5(t),QL 2(t),QL 6(t)}(3)
MAX_Q 2(t)=max{QL 3(t),QL 7(t),QL 4(t),QL 8(t)}(4)
Wherein, MAX_Q 1(t) be East and West direction maximum queue length in the cycle t; MAX_Q 2(t) be north-south maximum queue length in the cycle t;
Step 3: the Cycle Length of estimating temporary needs
Figure FDA00002134826400021
Wherein, R_CL 1(t) be the signal period length of East and West direction temporary needs in the cycle t; R_CL 2(t) be the signal period length of north-south temporary needs in the cycle t;
Figure FDA00002134826400023
Be the vehicle number in the maximum queuing of East and West direction in the cycle t;
Figure FDA00002134826400024
Be the vehicle number in the maximum queuing in north-south in the cycle t; H is time headway;
Step 4: calculate the Cycle Length that needs
R_CL(t)=R_CL 1(t)+R_CL 2(t) (7)
Step 5: add red time and yellow time
R_CL(t)=R_CL(t)+intergreen_time (8)
intergreen_time=yellow_time+red_time (9)
Step 6: determine final signal period length
If, | R_CL (t)-CL (t) |≤Δ c, so the signal length CL in next cycle (t+1)=CL (t);
Otherwise, the signal length CL in next cycle (t+1)=R_CL (t);
Wherein, Δ c changes threshold value for the signal period length of setting; CL (t) is the signal period length of cycle t.
5. the single-point cross junction signal lamp real-time control method based on car self-organization network according to claim 1 is characterized in that the computing method of each phase place green time are:
Step 1: the step 3 of basis signal control cycle computing method obtains respectively in next cycle the East and West direction green time (GT that passes through 1=R_CL 1And the current green time (GT in north-south (t)) 2=R_CL 2(t)), thus obtaining total green time is:
GT=GT 1+GT 2 (10)
Step 2: estimate that the green time in each entrance driveway track accounts for the ratio of total green time
Figure FDA00002134826400031
Wherein, R_GT DAccount for the ratio of total green time for the current green time of entrance driveway track D; V D/ C DThroughput ratio for entrance driveway track D;
Step 3: select corresponding green light phase place that pattern is set according to table 1;
Step 4: according to formula (11), determine the final green time in each entrance driveway track
GT D=R_GT D×GT (11) 。
CN201210338446.6A 2012-09-13 2012-09-13 Vehicle ad hoc network-based real-time single-point intersection signal lamp control method Expired - Fee Related CN102867422B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201210338446.6A CN102867422B (en) 2012-09-13 2012-09-13 Vehicle ad hoc network-based real-time single-point intersection signal lamp control method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201210338446.6A CN102867422B (en) 2012-09-13 2012-09-13 Vehicle ad hoc network-based real-time single-point intersection signal lamp control method

Publications (2)

Publication Number Publication Date
CN102867422A true CN102867422A (en) 2013-01-09
CN102867422B CN102867422B (en) 2014-08-13

Family

ID=47446274

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201210338446.6A Expired - Fee Related CN102867422B (en) 2012-09-13 2012-09-13 Vehicle ad hoc network-based real-time single-point intersection signal lamp control method

Country Status (1)

Country Link
CN (1) CN102867422B (en)

Cited By (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103680157A (en) * 2014-01-06 2014-03-26 东南大学 Vehicle queuing overflow anticipation method for city bottleneck road section
WO2016206290A1 (en) * 2015-06-26 2016-12-29 中兴通讯股份有限公司 Method and device for selecting leading vehicle in automotive fleet
CN106875710A (en) * 2017-01-24 2017-06-20 同济大学 A kind of intersection self-organization control method towards net connection automatic driving vehicle
CN107085955A (en) * 2016-08-25 2017-08-22 苏州华川交通科技有限公司 Intersection signal timing designing method based on vehicle queue length
CN107170252A (en) * 2017-07-25 2017-09-15 山东黄金矿业(莱州)有限公司三山岛金矿 Seabed mine deep flexible transport command and control system and control method
CN108133604A (en) * 2018-02-06 2018-06-08 电子科技大学 A kind of traffic lights dynamic realtime dispatching method based on traffic characteristic
WO2018188610A1 (en) * 2017-04-12 2018-10-18 王美兰 Method and system for controlling traffic signal light
CN109118797A (en) * 2018-10-29 2019-01-01 百度在线网络技术(北京)有限公司 Information sharing method, device, equipment and storage medium
CN109637141A (en) * 2019-01-14 2019-04-16 杭州电子科技大学 A kind of dynamic timing method for controlling traffic signal lights based on breadth-first search
CN110140157A (en) * 2016-05-24 2019-08-16 弗朗索瓦·沃德林 Traffic signal lamp system is controlled and managed using vehicle mobile communication network
CN111275987A (en) * 2020-01-21 2020-06-12 东南大学 Automobile driving speed optimization method considering intersection queue influence
CN111554109A (en) * 2020-04-21 2020-08-18 河北万方中天科技有限公司 Signal timing method and terminal based on queuing length
CN111612669A (en) * 2020-04-24 2020-09-01 浙江大华技术股份有限公司 Lane queuing length estimation method, system, computer device and storage medium
CN112885117A (en) * 2021-01-13 2021-06-01 长安大学 Network communication control intersection control system and method
CN113870590A (en) * 2021-09-23 2021-12-31 福建船政交通职业学院 Wireless control method and system for traffic flow

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10144428B2 (en) 2016-11-10 2018-12-04 Ford Global Technologies, Llc Traffic light operation

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002170194A (en) * 2000-11-30 2002-06-14 Mitsubishi Heavy Ind Ltd Traffic signal controller
US20040230345A1 (en) * 2003-05-12 2004-11-18 Assimakis Tzamaloukas Methods for communicating between elements in a hierarchical floating car data network
JP2008108033A (en) * 2006-10-25 2008-05-08 Sumitomo Electric Ind Ltd Traffic signal control analysis device
CN101470965A (en) * 2007-12-26 2009-07-01 奥城同立科技开发(北京)有限公司 Automatic control type traffic light control system
CN101763734A (en) * 2010-01-21 2010-06-30 上海交通大学 Traffic signal light intelligent control system and control method thereof
KR20100138337A (en) * 2009-06-25 2010-12-31 도로교통공단 Control methode for time of green traffic light
CN102063796A (en) * 2010-09-26 2011-05-18 广西工学院 Intelligent traffic control system and method based on wireless Mesh ad hoc network
CN102360531A (en) * 2011-09-30 2012-02-22 哈尔滨工业大学 Intelligent traffic light control method and system based on wireless sensor network

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002170194A (en) * 2000-11-30 2002-06-14 Mitsubishi Heavy Ind Ltd Traffic signal controller
US20040230345A1 (en) * 2003-05-12 2004-11-18 Assimakis Tzamaloukas Methods for communicating between elements in a hierarchical floating car data network
JP2008108033A (en) * 2006-10-25 2008-05-08 Sumitomo Electric Ind Ltd Traffic signal control analysis device
CN101470965A (en) * 2007-12-26 2009-07-01 奥城同立科技开发(北京)有限公司 Automatic control type traffic light control system
KR20100138337A (en) * 2009-06-25 2010-12-31 도로교통공단 Control methode for time of green traffic light
CN101763734A (en) * 2010-01-21 2010-06-30 上海交通大学 Traffic signal light intelligent control system and control method thereof
CN102063796A (en) * 2010-09-26 2011-05-18 广西工学院 Intelligent traffic control system and method based on wireless Mesh ad hoc network
CN102360531A (en) * 2011-09-30 2012-02-22 哈尔滨工业大学 Intelligent traffic light control method and system based on wireless sensor network

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
杨德亮,等: "基于复式伸缩窗的车辆排队与消散快速检测算法", 《公路交通科技》 *
齐驰,等: "基于排队长度均衡的交叉口信号配时优化策略", 《控制与决策》 *

Cited By (18)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103680157A (en) * 2014-01-06 2014-03-26 东南大学 Vehicle queuing overflow anticipation method for city bottleneck road section
CN103680157B (en) * 2014-01-06 2015-09-16 东南大学 A kind of vehicle queue's overflow pre-judging method towards city bottleneck road
WO2016206290A1 (en) * 2015-06-26 2016-12-29 中兴通讯股份有限公司 Method and device for selecting leading vehicle in automotive fleet
CN106303986A (en) * 2015-06-26 2017-01-04 中兴通讯股份有限公司 The system of selection of headstock and device in fleet
CN110140157A (en) * 2016-05-24 2019-08-16 弗朗索瓦·沃德林 Traffic signal lamp system is controlled and managed using vehicle mobile communication network
CN107085955A (en) * 2016-08-25 2017-08-22 苏州华川交通科技有限公司 Intersection signal timing designing method based on vehicle queue length
CN106875710A (en) * 2017-01-24 2017-06-20 同济大学 A kind of intersection self-organization control method towards net connection automatic driving vehicle
WO2018188610A1 (en) * 2017-04-12 2018-10-18 王美兰 Method and system for controlling traffic signal light
CN107170252A (en) * 2017-07-25 2017-09-15 山东黄金矿业(莱州)有限公司三山岛金矿 Seabed mine deep flexible transport command and control system and control method
CN108133604A (en) * 2018-02-06 2018-06-08 电子科技大学 A kind of traffic lights dynamic realtime dispatching method based on traffic characteristic
CN109118797A (en) * 2018-10-29 2019-01-01 百度在线网络技术(北京)有限公司 Information sharing method, device, equipment and storage medium
CN109637141A (en) * 2019-01-14 2019-04-16 杭州电子科技大学 A kind of dynamic timing method for controlling traffic signal lights based on breadth-first search
CN111275987A (en) * 2020-01-21 2020-06-12 东南大学 Automobile driving speed optimization method considering intersection queue influence
CN111554109A (en) * 2020-04-21 2020-08-18 河北万方中天科技有限公司 Signal timing method and terminal based on queuing length
CN111612669A (en) * 2020-04-24 2020-09-01 浙江大华技术股份有限公司 Lane queuing length estimation method, system, computer device and storage medium
CN111612669B (en) * 2020-04-24 2023-04-25 浙江大华技术股份有限公司 Lane queuing length estimation method, system, computer device and storage medium
CN112885117A (en) * 2021-01-13 2021-06-01 长安大学 Network communication control intersection control system and method
CN113870590A (en) * 2021-09-23 2021-12-31 福建船政交通职业学院 Wireless control method and system for traffic flow

Also Published As

Publication number Publication date
CN102867422B (en) 2014-08-13

Similar Documents

Publication Publication Date Title
CN102867422B (en) Vehicle ad hoc network-based real-time single-point intersection signal lamp control method
Chang et al. A study on traffic signal control at signalized intersections in vehicular ad hoc networks
WO2019061933A1 (en) Traffic signal chord panning control method and system
CN106097735B (en) The tide lane signal lamp control method and system of detection technique are perceived based on plane
CN104282162B (en) A kind of crossing self-adapting signal control method based on real-time vehicle track
CN103218921B (en) Primary and secondary crossing bus rapid transit signal priority cooperative control method
CN104778834B (en) Urban road traffic jam judging method based on vehicle GPS data
CN102280036B (en) Bus rapid transit signal prior timing method under trunk line coordination control
CN104200680B (en) The coordinating control of traffic signals method of arterial street under supersaturation traffic behavior
CN104464314B (en) A kind of Bus Priority method of bus special lane crossing
CN104575038A (en) Intersection signal control method considering priority of multiple buses
CN109612488B (en) Big data micro-service-based mixed travel mode path planning system and method
CN104217605A (en) Bus arrival time estimation method and device
CN102436466A (en) Bus transfer inquiry method based on geographic information system (GIS) classification
CN102930718A (en) Intermittent flow path section travel time estimation method based on floating car data and coil flow fusion
CN104064041A (en) Traffic signal lamp adjusting system and method based on public transport motorcade priority
CN104485003A (en) Intelligent traffic signal control method based on pipeline model
CN104074112A (en) Tidal lane of upstream and downstream intersection of urban road and design method of tidal lane
CN104537851A (en) Real-time feedback dynamic traffic signal control system
CN105427605A (en) Method for efficiency calculation of setting of bus transit lane with consideration of transportation means transfer
CN103500511B (en) A kind of Intersections split control method based on car networking
CN103177585A (en) Road turning average travel speed calculating method based on floating car data
CN104637328A (en) RSU (Roadside Unit)-based distributed real-time navigation method in vehicular ad hoc network
CN105160894A (en) Planar crossroad signal control optimization method based on vehicle queue length
CN104648443B (en) Subway dispatching method and the system of second can be accurate to during the change of a kind of dwell time

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20140813

Termination date: 20150913

EXPY Termination of patent right or utility model