CN104332058B - A kind of Intelligent traffic light control method and system - Google Patents

A kind of Intelligent traffic light control method and system Download PDF

Info

Publication number
CN104332058B
CN104332058B CN201310330202.8A CN201310330202A CN104332058B CN 104332058 B CN104332058 B CN 104332058B CN 201310330202 A CN201310330202 A CN 201310330202A CN 104332058 B CN104332058 B CN 104332058B
Authority
CN
China
Prior art keywords
eta
traffic
crossing
microprocessor
overbar
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.)
Expired - Fee Related
Application number
CN201310330202.8A
Other languages
Chinese (zh)
Other versions
CN104332058A (en
Inventor
陈海进
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.)
Nantong University
Original Assignee
Nantong University
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 Nantong University filed Critical Nantong University
Priority to CN201310330202.8A priority Critical patent/CN104332058B/en
Publication of CN104332058A publication Critical patent/CN104332058A/en
Application granted granted Critical
Publication of CN104332058B publication Critical patent/CN104332058B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Landscapes

  • Traffic Control Systems (AREA)

Abstract

The invention discloses a kind of intelligent Control System for Traffic Lights, including monitoring camera, traffic lights and countdown lamp, also include that intersection vehicle flux detection microprocessor, Traffic Signal Timing adjust automatically calculate microprocessor, driver module, Digital Image Processor, I/O interfaces, the signal timing dial of controller adjust automatically traffic lights, the green light utilization rate of crossing all directions is made to compare with wagon flow, increased or decrease by identical trend, the traffic conditions at effective Dynamic Recognition crossing, automatic regulating signal timing, reduces congestion.

Description

A kind of Intelligent traffic light control method and system
Technical field
The present invention relates to the intelligent transportation lamp controller in field of traffic, more particularly to field of traffic.
Background technology
Currently, the urban transit system situation of the main big and medium-sized cities of China all allows of no optimist, and vehicle is more, and road is blocked up, Vehicular exhaust Exhaust emission is serious, and these have become a key factor of restriction socio-economic development to a certain extent.Chinese science The achievement in research of strategy of sustainable development seminar of institute expert shows that, because of traffic congestion and problem of management, 15 cities of China are every Its nearly 1,000,000,000 yuan of wealth of loss.In addition, the traffic of congestion is also easy to the bad mental emotion for causing driver, increased and hand over The probability of interpreter's event.
It is an effective way for solving current city traffic predicament with advanced technology, by advanced technology, can be with The potential of existing means of transportation is fully excavated, and the transport for undertaking people as much as possible and thing with limited traffic resource, to solve Contradiction between the continuous growth of transport need and traffic resource scarcity.There is in terms of urban traffic blocking is solved vertical pole to see for which One application of shadow effect is exactly to install intelligent traffic light in road grade crossing to replace traditional traffic lights.Traditional traffic Lamp is using fixed signal period and split, it is impossible to which the dynamic change according to crossing traffic flow is automatically adjusted, and is often existed The situation of the short crossing without car or few car of crossing green light transit time more than car but light yellow green light, the traffic capacity at crossing are unrestrained Fei Liao.And intelligent traffic lamp can be according to the real-time change of crossing traffic flow, using corresponding intelligent control algorithm dynamic The parameter of regulation traffic signal lamp, makes to shorten dramatically by the stand-by period of crossing vehicle, and the traffic efficiency at crossing is improved.
Although intelligent traffic lamp has so attracting advantage, researcher also to carry out research to this, designed Some intelligent traffic lamp control programs, but at this stage, it is not promoted the use of on a large scale, is traced it to its cause, Mainly existing Intelligent traffic light control method needs the vehicle waiting number of real-time detection crossing direction to the car, and this requirement exists Two wagon detectors are installed in the place of every track stop line rear separated by a distance two, and by the vehicle number for detecting According to traffic signal control is transferred to, the quantities which is installed is larger, and the traffic of construction section can be impacted, and also has Existing road surface may be destroyed, the fund input of needs is also relatively more.Wagon detector mainly have ultrasonic wave, infrared, microwave radar, The types such as ground induction coil, all kinds of detectors respectively have quality, and which selects also ununified standard.Above-mentioned a variety of factors cause traffic Administrative department is difficult to reach a decision, and intelligent transportation lamp controller is installed in the unification at crossing.
For above-mentioned difficulties, the invention discloses a kind of level-crossing intelligent traffic light scheme, its core concept is to fill Divide the crossing existing hardware equipment that utilizes, only need to change traffic signal controlling machine, be simultaneously connected with the high-definition camera video letter at crossing Number, using corresponding image procossing and traffic light signals duration dynamic regulation algorithm, realize the dynamic regulation of signal lamp.Which is transformed Relate only to change traffic signal controlling machine and connection crossing camera video signal, can enter around the control cabinet in roadside OK, traffic will not be blocked.And the time of installation and debugging is very short, may be selected to carry on construction work at night.Or construction on daytime, using movement Formula traffic lights temporary control and education crossing traffic.Its transformation process is convenient and swift, and equipment cost is little.
Content of the invention
A kind of intelligent transportation lights control scheme, using the existing monitoring camera of road grade crossing, gathers crossing and hands over The video information of logical situation, the traffic flow data for obtaining crossing all directions using image processing algorithm.Controller is counted according to this According to the algorithm with setting, the signal timing dial of adjust automatically traffic lights makes the green light utilization rate of crossing all directions compare with wagon flow, Increased or decrease by identical trend, the concrete scheme of the present invention is as follows:
A kind of intelligent Control System for Traffic Lights is set, including monitoring camera, traffic lights and countdown lamp, described System also includes that intersection vehicle flux detection microprocessor, Traffic Signal Timing adjust automatically calculate microprocessor, show driving mould Block, Digital Image Processor, I/O interfaces:
Monitoring camera sends the video of acquisition to Digital Image Processor, and Digital Image Processor carries out image procossing Afterwards result is exported to intersection vehicle flux and detects microprocessor, the intersection vehicle flux detection microprocessor is through processing To information of vehicle flowrate and send to Traffic Signal Timing adjust automatically calculate microprocessor, the Traffic Signal Timing adjust automatically Microprocessor is calculated after processing and obtaining signal timing dial result, I/O interfaces and driver module is called, signal timing dial is tied Fruit is exported to traffic lights and countdown lamp.
The intersection vehicle flux detection microprocessor obtains information of vehicle flowrate using following steps:
A) identify in one signal period of traffic lights by the number of vehicles and vehicle of crossing all directions;
B) according to the length ratio of large car and compact car, equivalent kart number is converted into;
C the number is obtained the vehicle flowrate n in the per share track of the direction divided by the number of track-lines of the crossing direction)i.
The Traffic Signal Timing adjust automatically calculates microprocessor(4)The signal for adopting adjustment traffic lights with the following method is matched somebody with somebody When:
A) both direction at note crossing is respectively x and y, if the signal period of traffic lights is t, containing four phase places, point Not Wei x directions straight trip, x directions turn left, y directions straight trip, y directions turn left, its phase place duration is respectively t1、t2、t3And t4, then The formula of arriving(1):
t=t1+t2+t3+t4(1)
B)If the magnitude of traffic flow number that single track averagely passes through during each phase place is respectively n1、n2、n3And n4, define green light Utilization rate η is the ratio of the magnitude of traffic flow that passes through of single track and long green light time, then the long green light time utilization rate of each green light phase place point It is not
(2)
The long green light time average utilization at crossing is
(3)
Generally, above-mentioned utilization rate unequal, i.e.,
(4)
C, at the end of) remembering a signal period, during the signal period for measuring, traffic parameter is ti, (i=1,2,3,4) andThe then signal duration basic value t of each phase place of next signal periodi', (i=1,2,3,4) it is
(5)
ti' and tiBetween relation meet
(6)
D) according to the actual conditions at crossing, each phase place should mutually have a minimum green time, be designated as tgmin, according to above-mentioned ti' And tgminComparative result, the setting of each signal duration of next signal period considers in two kinds of situation:
(1)ti'3tgmin,(i=1,2,3,4)
Take ti' for each phase place of next signal period signal duration, new signal period time-preserving, and each phase place Green light utilization rate desired value identical, be
(2)At least there is phase j, j ∈ { 1,2,3,4 } meet t'j<tgmin
Will be less than tgminTi' value is adjusted to tgmin, its time for borrowing equably shares other phase places, for this purpose, first By ti' (i=1,2,3, ascending sequence 4) is pressed, new sequence is designated as si, according to siWith tgminRelation, adjusted accordingly Whole.
The general principle of technical scheme
1st, general structure
Intelligent transportation lamp controller described in this method, including intersection vehicle flux detection, Traffic Signal Timing adjust automatically meter Calculate, show the modules such as driving, overall framework is as shown in Figure of description 1.In figure, camera uses crossing crossing monitoring camera, Without the need for additionally installing;DSP(Digital Image Processing)Processor and intersection vehicle flux detection microprocessor are calculated according to image information Obtain vehicle flowrate microprocessor is calculated to Traffic Signal Timing adjust automatically;Microprocessor executes signal timing dial of the present invention certainly Dynamic adjustment algorithm, drives the traffic lights and countdown lamp at crossing, and is provided with corresponding I/O ports.
2nd, vehicle Flow Detection
Conventional traffic flow detecting method has the technology such as ground induction coil, ultrasonic wave, microwave, video.In the technical program, car Flow detector makes full use of crossing existing equipment, to reduce cost and installation difficulty.Consider the master of Current City Road Intersection is wanted to be equipped with monitoring camera, therefore this method adopts video car flow amount detection technique, mounted by crossing Camera, obtains information of vehicle flowrate with image processing algorithm.Image processing function is at the digital picture of one piece of special design Reason(DSP)Complete on circuit board, it receives crossing vision signal, carries out image procossing, obtains information of vehicle flowrate, and send to Microprocessor.
During image procossing, identify in one signal period of traffic lights first by the number of vehicles of crossing all directions and Vehicle;Secondly, according to the length ratio of large car and compact car, equivalent kart number is converted into;Finally, the number is removed With the number of track-lines of the crossing direction, the vehicle flowrate n in the per share track of the direction is obtainedi.
3rd, signal timing dial automatic adjusting method
By taking most universal cross level-crossing as an example, remember that the both direction at crossing is respectively x and y, if traffic The signal period of signal lamp is t, and containing four phase places, respectively x directions are kept straight on, x directions are turned left, y directions are kept straight on, y directions are turned left, Its phase place duration is respectively t1、t2、t3And t4, then
t=t1+t2+t3+t4
The magnitude of traffic flow number that single track averagely passes through during each phase place is respectively n1、n2、n3And n4, define green light and utilize Rate η is the ratio of the magnitude of traffic flow that passes through of single track and long green light time, then the long green light time utilization rate of each green light phase place is respectively
The long green light time average utilization at crossing is
Generally, above-mentioned utilization rate unequal, i.e.,
This method passes through the above-mentioned t of dynamic regulationi, (i=1,2,3,4) reaching makes ηi, (i=1,2,3,4) and ni,(i=1,2,3, 4) purpose increasedd or decreased by identical trend.At the end of one signal period of note, traffic during the signal period for measuring Parameter is ti, (i=1,2,3,4) andThe then signal duration basic value t of each phase place of next signal periodi', (i=1,2,3,4) it is
Obviously, ti' and tiBetween relation meet
According to the actual conditions at crossing, each phase place should mutually have a minimum green time, be designated as tgmin, according to above-mentioned ti' and tgminComparative result, the setting of each signal duration of next signal period considers in two kinds of situation.
(1)ti'3tgmin,(i=1,2,3,4)
Now, t is takeni' for each phase place of next signal period signal duration, it is clear that new time signal period keeps not Become, and the green light utilization rate desired value of each phase place is identical, is
(2)At least there is phase j, j ∈ { 1,2,3,4 } meet t'j<tgmin
Now, determine new timing duration basic ideas when will be less than tgminTi' value is adjusted to tgmin, its " borrow " Time equably shares other phase places.For this purpose, first by ti' (i=1,2,3, ascending sequence 4) is pressed, new sequence is designated as si, according to siWith tgminRelation, be adjusted correspondingly.
Summary(1)With(2)Situation, corresponding to signal timing dial algorithm overall flow such as Fig. 2 of a signal period Shown.
4th, the realization of signal timing dial adjust automatically algorithm
Computing that signal timing dial adjust automatically algorithm is related to is main and cumulative and division, and needs using multiple timings Device;For realizing that the time of algorithm is suitable with signal lamp signal period, typically in tens of seconds to 100 seconds or so, very Abundant.Adjust automatically algorithm is realized by microprocessor, in addition, showing that driving, I/O interfaces are also required to microprocessor to manage(See Fig. 1), thus, microprocessor is from the product that speed is not high but peripheral hardware aboundresources, reliability are high.
Field conduct step
By after the good traffic light controller of the principle design, its in-site installation is simple, it is only necessary to install traffic signals in roadside The control machine that the position of lamp controller more renews, connects the video monitoring signal at crossing to control machine, connects the output of control machine Signal arranges initial parameter, it is possible to bring into operation, as shown in Figure 3 to signal lamp.
The content is only the basic explanation under present inventive concept, and according to technical scheme made any etc. Effect conversion, all should belong to protection scope of the present invention.
Figure of description explanation
Fig. 1 intelligent Control System for Traffic Lights frame construction drawings
Signal timing dial automatic adjusting methods of the Fig. 2 corresponding to a signal period
Fig. 3 in-site installation implementing procedure figures
Fig. 4 green light utilization rates compare
The each phase place in Fig. 5 crossings come the comparison flowing vehicle and wait in line vehicle number
Embodiment
According to said method, corresponding emulation has been carried out on computers.Emulation considers the crossing containing four signal phases, It is designated as A, B, C and D respectively, flows vehicle and randomly generate by Poisson distribution, emulation has carried out 50 signal periods altogether.
Fig. 4 is that the total green light utilization rate in crossing compares, and green light utilization rate corresponds to formula(3)In.It can be seen that, using this After method, its green light utilization rate is improved.
Fig. 5 is each phase place in crossing the comparison flowing vehicle and wait in line vehicle number.As seen from the figure, this is being provided without During method(That is timing timing scheme), the queuing vehicle of crossing B and crossing D continues to increase, and forms congestion, and A phases and C phases are then come Stream vehicle is few, and green light transit time is underutilized;After using this method, the queuing vehicle base sheet of crossing B and crossing D Without crossing A and crossing C has vehicle queue to wait once in a while, but just disappears immediately.It can be seen that, using this method after, effectively can move State recognizes that the traffic conditions at crossing, automatic regulating signal timing reduce congestion.
Cost and benefit is estimated
(One), cost
By taking a crossing as an example, the transformation input that implementing this method needs is only to change Traffic signal control machine, with When the camera video signal at crossing is sent to traffic grade machine, overall input is can be controlled within thousands of yuans.
(Two), benefit
Its benefit is mainly reflected in reduction of the vehicle by oil consumption during crossing(Economic benefit), exhaust emissions minimizing (Environmental benefit), go out the raising of line efficiency and corresponding driver's bad mental emotion reduces the traffic safety factor that brings and lifted (Social benefit).Wherein social benefit is difficult to provide accurately assessment, only makees one slightly to economic benefit and environmental benefit here Calculating slightly.
1st, economic benefit
, from the vehicle oil consumption for saving, this is relevant with the magnitude of traffic flow at crossing for economic benefit.The magnitude of traffic flow at crossing Affected by factors such as road width, traffic time sections, as shown in table 1.12h traffic by main roads in table and secondary road Flow is added, and the 12h magnitudes of traffic flow at crossing are obtained.Consider that the magnitude of traffic flow at night is fewer than daytime a lot, take night here The magnitude of traffic flow of 12h for daytime 10%, therefore, the 24h magnitudes of traffic flow are multiplied by coefficient 1.1 by the 12h magnitudes of traffic flow and obtain, and thus may be used The mean value for being further calculated the 24h magnitudes of traffic flow is 16579, as shown in table 2.
1 intersection traffic flow standard of table
2 intersection 24h magnitude of traffic flow standards of table
After installing intelligent transportation lamp controller, if average latency of each car at crossing reduces 5 seconds, a crossing The daily magnitude of traffic flow converts into total time based on 16579, then for 82895 seconds.Oil consumption during a pick-up parking waiting is 0.8 L/h, then about 18.4 liters, every year about 6716 liters of the fuel oil that saves daily.Calculation of price with No. 93 7.94 yuan/liter of gasoline (In March, 2013 Nantong price), 53325.04 yuan of RMB is converted into, single from terms of direct economic benefit, make up enough The improvement expenses at the crossing.
2nd, environmental benefit
The carbon emission coefficient of gasoline is 2.361kgCO2/ L, according to result of calculation above, the saving in a year of a crossing About 6716 liters of fuel oil, the carbon emission amount of minimizing mutually should be 3.361 × 6716=22.57(Ton)If being generalized to a large-scale city City, or the whole nation, its enormous amount, environmental benefit are very notable.
Bibliography
[1] CCTV. expert claims 15 urban traffic blockings of China, 1,000,000,000 yuan of [EB/OL] .http of loss daily:// news.xinhuanet.com/fortune/2012-08/23/c_123621201.htm,2013-03-23.
[2] Wen Zhida, Liang Guirong, Chen Biming, Gao Suping. the intelligent Control System for Traffic Lights [J] based on vehicle flowrate. automatically Change technology and application, 2009,28 (6):115-118.
[3] horse great writing, Chen Songli, Chen Zhiguo, Li Jian. a kind of novel radio crossroad access lamp Intelligent Dynamic sensing control System [J] processed. Small heparin, 2009,30 (4):62-66.
[4] Zhang Wenpu. road traffic detects [M]. Beijing:People's Transportation Press, 2010.
[5] Xu Jianmin. traffic administration and control [M]. Beijing:People's Transportation Press, 2007.105-106.
[6] Environmental monitoring in Jiangsu Province net [EB/OL] .http://www.jsem.net.cn/jshjjc/InfoDetail/? InfoID=b628bcc8-62ac-483d-b88f-f6c63f838de5&CategoryNum=026007,2013-03-26.

Claims (4)

1. a kind of intelligent Control System for Traffic Lights, including monitoring camera (1), traffic lights and countdown lamp (2), its feature It is:The system also includes that intersection vehicle flux detection microprocessor (3), Traffic Signal Timing adjust automatically calculate microprocessor (4), driver module (5), Digital Image Processor (6), I/O interfaces (7):
Monitoring camera (1) sends the video of acquisition to Digital Image Processor (6), and Digital Image Processor (6) carries out figure Result is exported to intersection vehicle flux detection microprocessor (3) after as processing, the intersection vehicle flux detects microprocessor (3) obtain information of vehicle flowrate and send Traffic Signal Timing adjust automatically to calculating microprocessor (4), the traffic through process Signal timing dial adjust automatically calculates microprocessor (4) after processing and obtaining signal timing dial result, calls I/O interfaces (7) and shows Show drive module (5), signal timing dial result is exported to traffic lights and countdown lamp (2);
The Traffic Signal Timing adjust automatically calculates microprocessor (4) and adopts the signal timing dial for adjusting traffic lights with the following method:
A) both direction at note crossing is respectively x and y, if the signal period of traffic lights is t, containing four phase places, respectively x Direction straight trip, x directions are turned left, y directions are kept straight on, y directions are turned left, and its phase place duration is respectively t1、t2、t3And t4, then obtain formula (1):
T=t1+t2+t3+t4(1)
B the magnitude of traffic flow number that single track averagely passes through during) setting each phase place is respectively n1、n2、n3And n4, define green light utilization rate η is the ratio of the magnitude of traffic flow that passes through of single track and long green light time, then the long green light time utilization rate of each green light phase place is respectively
&eta; 1 = n 1 t 1 &eta; 2 = n 2 t 2 &eta; 3 = n 3 t 3 &eta; 4 = n 4 t 4 - - - ( 2 )
The long green light time average utilization at crossing is
&eta; &OverBar; = &Sigma; i = 1 4 n i &Sigma; i = 1 4 t i - - - ( 3 )
Generally, above-mentioned 5 utilization rates unequal, i.e.,
&eta; 1 &NotEqual; &eta; 2 &NotEqual; &eta; 3 &NotEqual; &eta; 4 &NotEqual; &eta; &OverBar; - - - ( 4 )
C, at the end of) remembering a signal period, during the signal period for measuring, traffic parameter is ti, i=1,2,3,4 andThen The signal duration basic value t ' of next signal period each phase placei, i=1,2,3,4 is
t 1 &prime; = n 1 &eta; &OverBar; t 2 &prime; = n 2 &eta; &OverBar; t 3 &prime; = n 3 &eta; &OverBar; t 4 &prime; = n 4 &eta; &OverBar; - - - ( 5 )
t′iAnd tiBetween relation meet
&Sigma;t i &prime; = &Sigma; n i &eta; &OverBar; = &Sigma;n i &eta; &OverBar; = &Sigma;t i - - - ( 6 )
D) according to the actual conditions at crossing, each phase place should mutually have a minimum green time, be designated as tgmin, according to above-mentioned t 'iWith tgminComparative result, the setting of each signal duration of next signal period considers in two kinds of situation:
(1)t′i≥tgmin, i=1,2,3,4
Take t 'iFor the signal duration of each phase place of next signal period, new signal period time-preserving, and each phase place is green Lamp utilization rate desired value is identical, is
(2) at least there is phase j, j ∈ { 1,2,3,4 } meet t'j<tgmin
Will be less than tgminT 'iValue is adjusted to tgmin, its time for borrowing equably shares other phase places, for this purpose, first by t ′i, i=1,2,3,4 press ascending sequence, and new sequence is designated as si, according to siWith tgminRelation, be adjusted correspondingly.
2. a kind of intelligent Control System for Traffic Lights as claimed in claim 1, it is characterised in that:
Intersection vehicle flux detection microprocessor (3) obtains information of vehicle flowrate using following steps:
A) identify in one signal period of traffic lights by the number of vehicles and vehicle of crossing all directions;
B) according to the length ratio of large car and compact car, equivalent kart number is converted into;
C the number is obtained the vehicle flowrate n in the per share track of the direction divided by the number of track-lines of the crossing direction)i.
3. a kind of Intelligent traffic light control method, it is characterised in that:The method arranges a system,
The system includes that monitoring camera (1), traffic lights and countdown lamp (2), the system also include crossing wagon flow Amount detection microprocessor (3), Traffic Signal Timing adjust automatically calculate microprocessor (4), driver module (5), digitized map As processor (6), I/O interfaces (7):
Monitoring camera (1) sends the video of acquisition to Digital Image Processor (6), and Digital Image Processor (6) carries out figure Result is exported to intersection vehicle flux detection microprocessor (3) after as processing, the intersection vehicle flux detects microprocessor (3) obtain information of vehicle flowrate and send Traffic Signal Timing adjust automatically to calculating microprocessor (4), the traffic through process Signal timing dial adjust automatically calculates microprocessor (4) after processing and obtaining signal timing dial result, calls I/O interfaces (7) and shows Show drive module (5), signal timing dial result is exported to traffic lights and countdown lamp (2);
The Traffic Signal Timing adjust automatically calculates microprocessor (4) and adopts the signal timing dial for adjusting traffic lights with the following method:
A) both direction at note crossing is respectively x and y, if the signal period of traffic lights is t, containing four phase places, respectively x Direction straight trip, x directions are turned left, y directions are kept straight on, y directions are turned left, and its phase place duration is respectively t1、t2、t3And t4, then obtain formula (1):
T=t1+t2+t3+t4(1)
B the magnitude of traffic flow number that single track averagely passes through during) setting each phase place is respectively n1、n2、n3And n4, define green light utilization rate η is the ratio of the magnitude of traffic flow that passes through of single track and long green light time, then the long green light time utilization rate of each green light phase place is respectively
&eta; 1 = n 1 t 1 &eta; 2 = n 2 t 2 &eta; 3 = n 3 t 3 &eta; 4 = n 4 t 4 - - - ( 2 )
The long green light time average utilization at crossing is
&eta; &OverBar; = &Sigma; i = 1 4 n i &Sigma; i = 1 4 t i - - - ( 3 )
Generally, above-mentioned 5 utilization rates unequal, i.e.,
&eta; 1 &NotEqual; &eta; 2 &NotEqual; &eta; 3 &NotEqual; &eta; 4 &NotEqual; &eta; &OverBar; - - - ( 4 )
C, at the end of) remembering a signal period, during the signal period for measuring, traffic parameter is ti, i=1,2,3,4 andThen The signal duration basic value t ' of next signal period each phase placei, i=1,2,3,4 is
t 1 &prime; = n 1 &eta; &OverBar; t 2 &prime; = n 2 &eta; &OverBar; t 3 &prime; = n 3 &eta; &OverBar; t 4 &prime; = n 4 &eta; &OverBar; - - - ( 5 )
t′iAnd tiBetween relation meet
&Sigma;t i &prime; = &Sigma; n i &eta; &OverBar; = &Sigma;n i &eta; &OverBar; = &Sigma;t i - - - ( 6 )
D) according to the actual conditions at crossing, each phase place should mutually have a minimum green time, be designated as tgmin, according to above-mentioned t 'iWith tgminComparative result, the setting of each signal duration of next signal period considers in two kinds of situation:
(1)t′i≥tgmin, i=1,2,3,4
Take t 'iFor the signal duration of each phase place of next signal period, new signal period time-preserving, and each phase place is green Lamp utilization rate desired value is identical, is
(2) at least there is phase j, j ∈ { 1,2,3,4 } meet t'j<tgmin
Will be less than tgminT 'iValue is adjusted to tgmin, its time for borrowing equably shares other phase places, for this purpose, first by t ′i, i=1,2,3,4 press ascending sequence, and new sequence is designated as si, according to siWith tgminRelation, be adjusted correspondingly.
4. a kind of Intelligent traffic light control method as claimed in claim 3, it is characterised in that:
Intersection vehicle flux detection microprocessor (3) obtains information of vehicle flowrate using following steps:
A) identify in one signal period of traffic lights by the number of vehicles and vehicle of crossing all directions;
B) according to the length ratio of large car and compact car, equivalent kart number is converted into;
C the number is obtained the vehicle flowrate n in the per share track of the direction divided by the number of track-lines of the crossing direction)i.
CN201310330202.8A 2013-07-31 2013-07-31 A kind of Intelligent traffic light control method and system Expired - Fee Related CN104332058B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201310330202.8A CN104332058B (en) 2013-07-31 2013-07-31 A kind of Intelligent traffic light control method and system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201310330202.8A CN104332058B (en) 2013-07-31 2013-07-31 A kind of Intelligent traffic light control method and system

Publications (2)

Publication Number Publication Date
CN104332058A CN104332058A (en) 2015-02-04
CN104332058B true CN104332058B (en) 2017-03-15

Family

ID=52406777

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201310330202.8A Expired - Fee Related CN104332058B (en) 2013-07-31 2013-07-31 A kind of Intelligent traffic light control method and system

Country Status (1)

Country Link
CN (1) CN104332058B (en)

Families Citing this family (25)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105957371B (en) * 2016-06-21 2019-03-01 同济大学 Control device and its traffic lamp control method and system of application
CN106373411B (en) * 2016-11-04 2018-09-07 东南大学 Optimization method is controlled based on the single point signals for intersecting vehicle record of making a slip of the tongue
CN106504522B (en) * 2016-12-02 2018-12-11 深圳市智慧交通有限公司 A kind of wisdom traffic management system based on big data
CN107016861A (en) * 2017-05-31 2017-08-04 电子科技大学 Traffic lights intelligent control system based on deep learning and intelligent road-lamp
CN107067756B (en) * 2017-06-22 2019-09-24 长威信息科技发展股份有限公司 A kind of intelligent transportation command system based on big data analysis
CN107507422A (en) * 2017-08-22 2017-12-22 浙江大学 The intelligent vehicle control that self scheduling and traffic congestion can be achieved and perceive based on Internet of Things
CN107481531A (en) * 2017-08-25 2017-12-15 安徽实运信息科技有限责任公司 A kind of city traffic signal lamp control system
CN107993455B (en) * 2017-12-27 2020-07-14 清华大学 Single-intersection signal timing method based on complete information static game
CN109979191B (en) * 2017-12-28 2022-02-11 杭州海康威视系统技术有限公司 Traffic signal control method, traffic signal control device, electronic equipment and computer-readable storage medium
CN108205890B (en) * 2017-12-29 2021-03-09 迈锐数据(北京)有限公司 Traffic data processing method and device
CN109410607B (en) * 2018-03-22 2021-05-04 合肥革绿信息科技有限公司 Cross intersection signal machine control method based on video
CN108346300A (en) * 2018-04-18 2018-07-31 济南浪潮高新科技投资发展有限公司 A kind of intelligent transportation system
CN108629989A (en) * 2018-06-07 2018-10-09 广东技术师范学院 A kind of Intelligent Dynamic timing traffic light systems based on vehicle flowrate video detection
CN109300308B (en) * 2018-10-23 2021-08-20 杭州翔毅科技有限公司 Intelligent management platform based on dynamic traffic map analysis
CN111369785B (en) * 2018-12-25 2022-05-24 阿里巴巴集团控股有限公司 Traffic data processing method, device, equipment and storage medium
CN110164153A (en) * 2019-05-30 2019-08-23 哈尔滨理工大学 A kind of adaptive timing method of traffic signals
CN110111592B (en) * 2019-06-25 2021-10-22 浪潮软件股份有限公司 Method for dynamically matching optimal signal timing scheme based on traffic signal controller
CN113689714B (en) * 2020-05-19 2022-08-26 大唐移动通信设备有限公司 Traffic control method and device and traffic control system
CN112017449B (en) * 2020-08-06 2021-12-07 华东师范大学 Traffic light intelligent control system and method based on Internet of things and letter fusion cloud platform
CN111951561B (en) * 2020-08-31 2022-10-04 杭州海康威视数字技术股份有限公司 Method and device for determining adjustment strategy of signal control scheme
CN113327431A (en) * 2020-11-17 2021-08-31 广东汇通信息科技股份有限公司 Intelligent traffic control method, device, computer equipment and storage medium
CN112669625A (en) * 2020-11-26 2021-04-16 中国船舶重工集团公司第七0九研究所 Intelligent traffic light timing method and system
CN114067579B (en) * 2021-10-21 2023-01-03 信通院车联网创新中心(成都)有限公司 Intelligent traffic signal control system and control method thereof
CN114694393B (en) * 2022-03-24 2023-11-07 浙江大华技术股份有限公司 Method and device for adjusting phase duration, storage medium and electronic equipment
CN116403419B (en) * 2023-06-07 2023-08-25 贵州鹰驾交通科技有限公司 Traffic light control method based on vehicle-road cooperation

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1818989A (en) * 2005-10-31 2006-08-16 宝鸡市公安局 Robot controlling system of traffic light
CN101030330A (en) * 2007-03-28 2007-09-05 无锡安邦电气有限公司 Method for controlling traffic signal light with inverse-hour display
CN101042805A (en) * 2007-03-09 2007-09-26 吉林大学 Control method for single crossing mixed traffic signal
CN101079187A (en) * 2006-03-10 2007-11-28 宝鸡市公安局交通警察支队 DSP intelligent traffic light control system
CN101706998A (en) * 2009-11-12 2010-05-12 宁波工程学院 Intelligent traffic signal control terminal
CN101840637A (en) * 2010-04-20 2010-09-22 上海大学 Traffic signal intelligent control system and method based on image processing
CN201655027U (en) * 2010-05-13 2010-11-24 西南交通大学 Intelligent traffic signal control system based on novel two-stage fuzzy control

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1818989A (en) * 2005-10-31 2006-08-16 宝鸡市公安局 Robot controlling system of traffic light
CN101079187A (en) * 2006-03-10 2007-11-28 宝鸡市公安局交通警察支队 DSP intelligent traffic light control system
CN101042805A (en) * 2007-03-09 2007-09-26 吉林大学 Control method for single crossing mixed traffic signal
CN101030330A (en) * 2007-03-28 2007-09-05 无锡安邦电气有限公司 Method for controlling traffic signal light with inverse-hour display
CN101706998A (en) * 2009-11-12 2010-05-12 宁波工程学院 Intelligent traffic signal control terminal
CN101840637A (en) * 2010-04-20 2010-09-22 上海大学 Traffic signal intelligent control system and method based on image processing
CN201655027U (en) * 2010-05-13 2010-11-24 西南交通大学 Intelligent traffic signal control system based on novel two-stage fuzzy control

Also Published As

Publication number Publication date
CN104332058A (en) 2015-02-04

Similar Documents

Publication Publication Date Title
CN104332058B (en) A kind of Intelligent traffic light control method and system
CN103208191B (en) The optimization method of signal coordinated control under a kind of urban road intersection supersaturated condition
CN106652493B (en) A kind of intersection signal optimal control method under car networking environment
CN103280113B (en) Self-adaptive intersection signal control method
CN109727470B (en) Complex scene passing decision method for distributed intelligent network-connected automobile intersection
CN104036646B (en) The division methods of intersection signal timing period
CN103186984B (en) Method for triggering transformation of steering function of variable guidance lanes at urban intersections
CN102157064B (en) Method for designing signal intersection of bus lanes
CN102376162B (en) Method for setting optimal distance between curb parking lot of intersection exit lane and intersection
CN104575034B (en) A kind of single-point intersection signal timing dial parameter optimization method based on bayonet socket data
CN202677620U (en) Intelligent traffic light management system
CN107610488A (en) A kind of Traffic Light Automatic Control system and the Traffic Light Automatic Control method based on the system
CN106469507A (en) Dynamic green wave system and method automatically adjusted based on Real-Time Traffic Volume data
CN104575038A (en) Intersection signal control method considering priority of multiple buses
CN104504918A (en) Urban highway bus signal priority method
CN104851287B (en) Method for urban road link travel time detection based on video detector
CN103680157A (en) Vehicle queuing overflow anticipation method for city bottleneck road section
CN106530695B (en) Arterial street vehicle travel time real-time predicting method based on car networking
CN102110372A (en) Method for controlling signal priority of emergency vehicle at intersection based on two-stage optimization process
CN103268707B (en) Signal regulating method for pedestrian crossing road section of bus prior passage
CN108597219A (en) A kind of section pedestrian&#39;s street crossing control method based on machine vision
CN106355905A (en) Control method for overhead signal based on checkpoint data
CN106530756A (en) Intersection optimal period duration calculation method considering downstream bus stations
CN107393321A (en) A kind of modern tram bus priority at intersection control method for being used to prevent vehicle queue spilling
CN111724585B (en) Signal timing sequence control method and optimization method for signal-controlled intersection

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
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20170315

Termination date: 20170731