CN101271622A - Instant condition discrimination and inducing system of urban highway traffic - Google Patents
Instant condition discrimination and inducing system of urban highway traffic Download PDFInfo
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Abstract
The invention relates to an urban road traffic real-time state distinguishing and guidance system, consisting of a traffic information acquisition subsystem, a communication subsystem, a traffic information integrated processing platform, a traffic information release subsystem and a closed circuit television monitoring subsystem. The traffic information acquisition subsystem acquires the on-the-spot traffic information and transmits the traffic information to the traffic information integrated processing platform through the communication subsystem; the traffic information integrated processing platform adopts a traffic real-time state distinguishing algorithm to determine the traffic state of a specified section of the road according to a traffic flow, a speed, an occupancy and a periodic data packet, and transmits the determined result real-timely to the information release subsystem which then sends the result to a vehicle-oriented traffic scene. The urban road traffic real-time state distinguishing and guidance system of the invention can increase traffic efficiency of a traffic system, and improve the problem of the traffic jams.
Description
Technical field
The present invention relates to physical field, relate in particular to the instant condition discrimination and the inducible system of the measurement and the control technology, particularly a kind of urban highway traffic of the magnitude of traffic flow.
Background technology
The owning amount of urban automobile just grows at top speed, and the rate of growth of urban road is lower than the rate of growth of motor vehicle, and urban transportation infrastructure bears immense pressure.In the prior art, be difficult to the dynamic of real-time estimate traffic flow, therefore be difficult to correctly in time induce efficiently traffic flow, aggravated the difficulty that the means of transportation shortage causes, increased the weight of traffic congestion.
Summary of the invention
The instant condition discrimination and the inducible system that the purpose of this invention is to provide a kind of urban highway traffic, the instant condition discrimination of described this urban highway traffic and inducible system to solve be difficult in the prior art real-time estimate traffic flow dynamically, the technical matters that is difficult to correctly in time induce efficiently traffic flow.
The instant condition discrimination of this urban highway traffic of the present invention and inducible system are by the traffic information collection subsystem, communication subsystem, transport information overall treatment platform, transport information issue subsystem and closed-circuit television watchdog subsystem constitute, wherein, described traffic information collection subsystem is connected with transport information overall treatment platform by described communication subsystem, described closed-circuit television watchdog subsystem is connected with transport information overall treatment platform by described communication subsystem, described transport information overall treatment platform is connected with described transport information issue subsystem by communication subsystem, described traffic information collection subsystem is gathered the traffic information data at road scene and is passed to described transport information overall treatment platform, described transport information overall treatment platform is handled traffic information data, and output induction information, by described transport information issue subsystem induction information is issued at the road scene, described closed-circuit television watchdog subsystem is delivered to the video information at road scene at the artificial supervision end of transport information overall treatment platform again.
Further, described transport information overall treatment platform is made of computing machine.
Further, in the process that described transport information overall treatment platform is handled traffic information data, unimpeded or the blocked state of traffic is divided into 9 continuous opinion ratings, phase difference of half queue length between two adjacent arbitrarily opinion ratings, by the traffic information collection subsystem gateway, current period highway section flow is measured, calculate the increment of queue length by computing machine according to gateway, current period highway section difference in flow, judge current suitable opinion rating according to the increment of queue length again.
Perhaps, in the process that described transport information overall treatment platform is handled traffic information data, from the traffic information collection subsystem, read average discharge, average velocity and time saturation degree in the identical time period by computing machine, judge congestion status then.
Perhaps, in the process that described transport information overall treatment platform is handled traffic information data, from the traffic information collection subsystem, read the phase place saturation degree of link flow by computing machine, compare apart from interior established standards flow when establishing fixedly, judge congestion status then.
Perhaps, in the process that described transport information overall treatment platform is handled traffic information data, the vehicle that reads the site road cross section by computing machine from the traffic information collection subsystem is by speed and occupation rate, and historical data in the binding data storehouse is judged congestion status then.
Perhaps, in the process that described transport information overall treatment platform is handled traffic information data, from the traffic information collection subsystem, read time headway and occupation rate information, judge congestion status then by computing machine.
Further, described traffic information distribution system adopts variable information plate issue Real-time Traffic Information.
Further, the described communication subsystem mode that adopts wire communication mode or communication or wire communication to combine with radio communication is worked.
Further, be provided with annular magnetic test coil or video data detecting sensor in the described traffic information collection subsystem.
Further, described traffic information distribution system according to wide area induce, induce the part, traffic behavior issue is induced, movable type induces four levels that vehicle is induced.
Further, the described communication subsystem mode that adopts wire communication mode or communication or wire communication to combine with radio communication is worked.
Further, be provided with annular magnetic test coil in the described traffic information collection subsystem.
The present invention and prior art contrast, and its effect is actively with tangible.The present invention can improve the traffic system traffic efficiency, can significantly improve the degree of understanding of human pilot to road traffic condition, thereby regulate the arrival number of the volume of traffic, make the volume of traffic of each bar turnpike road can equiblibrium mass distribution, avoid vehicle number to surpass the actual traffic capacity of road, thereby improve traffic jam issue, improve the unobstructed and traffic system operational efficiency of traffic.Transport solution blocks up, and improves have a good transport and communication network rate and traffic system operational efficiency, helps the economy and society development.By effective traffic guidance, reduce the time that vehicle on the way stops simultaneously, thereby alleviate the city greatly because the environmental pollution that vehicle exhaust produced and the saving energy.In addition, the present invention can also cooperate the police to carry out the interim road closure of occasion or rally or the issue of important information.
Purpose of the present invention, feature and advantage will be elaborated in conjunction with the accompanying drawings by embodiment.
Description of drawings
Fig. 1 is the system principle synoptic diagram of a preferred embodiment of the instant condition discrimination of a kind of urban highway traffic of the present invention and inducible system.
Fig. 2 is the traffic instant condition discrimination algorithm overview flow chart in the preferred embodiment of the instant condition discrimination of a kind of urban highway traffic of the present invention and inducible system.
Fig. 3 is the process flow diagram of a kind of traffic instant condition discrimination algorithm in the preferred embodiment of the instant condition discrimination of a kind of urban highway traffic of the present invention and inducible system.
Fig. 4 is the process flow diagram of the another kind of traffic instant condition discrimination algorithm in the preferred embodiment of the instant condition discrimination of a kind of urban highway traffic of the present invention and inducible system.
Embodiment
As depicted in figs. 1 and 2, the instant condition discrimination of a kind of urban highway traffic of the present invention and inducible system are by traffic information collection subsystem 1, communication subsystem 2, transport information overall treatment platform 3, transport information issue subsystem 4 and closed-circuit television watchdog subsystem 5 constitute, wherein, described traffic information collection subsystem 1 is connected with transport information overall treatment platform 3 by described communication subsystem 2, described closed-circuit television watchdog subsystem 5 is connected with transport information overall treatment platform 3 by described communication subsystem 2, described transport information overall treatment platform 3 is connected with described transport information issue subsystem 1 by communication subsystem 2, described traffic information collection subsystem 1 is gathered the traffic information data at road scene and is passed to described transport information overall treatment platform 3,3 pairs of traffic information datas of described transport information overall treatment platform are handled, and output induction information, by described transport information issue subsystem 4 induction information is issued at the road scene, described closed-circuit television watchdog subsystem 5 is delivered to the video information at road scene at the artificial supervision end of transport information overall treatment platform 3 again.
Further, described transport information overall treatment platform 3 is made of computing machine.
In one embodiment of the invention, traffic information collection subsystem 1 is realized obtaining of traffic data.This subsystem comprises existing coil collecting device, newly-increased toroid winding collecting device, video data acquiring equipment, other collecting device and artificial information acquisition.Newly-increased Loop Vehicle Detector adopts communication that information is sent to and induces control center, the information of Loop Vehicle Detector also is sent to information by communication and induces control center, and the information of video data acquiring device, SCATS all is sent to information by optical fiber or ADSL mode and induces control center.The mode that described communication subsystem 2 adopts wire communication to combine with radio communication, described transport information issue subsystem 4 is directly towards vehicle.
In the process that described transport information overall treatment platform is handled traffic information data, select to adopt following five kinds of real-time traffic states to differentiate algorithm according to the situation that is provided with of traffic information collection subsystem.Differentiate in the algorithm in described five kinds of real-time traffic states, transport information overall treatment platform receives traffic data from communication subsystem in real time, and traffic data comprises 2 seconds VD flows, 20 seconds VD flows, speed and occupation rates, SCATS cycle data bag.Real-time traffic states is differentiated algorithm after the traffic behavior in certain highway section is judged end, in real time judged result is passed to issue subsystem and GIS-T.
Algorithm one:
The scope of application: gateway, highway section information completely
Ultimate principle: according to table 1 traffic behavior is divided into 9 continuous grades, phase difference of half queue length between each grade.Calculate the increment of queue length according to gateway, current period highway section difference in flow, judge the variation of traffic behavior again according to the increment of queue length.
Table 1 traffic behavior grade classification
Label | Red light | Green light | Red light | Green light | Red light | Green light | Red light | Green light | Red light | Green light | Stand-by period | State | Explanation |
0 | Go into out | T=0 | Unimpeded 0 | There is not the stand-by |
|||||||||
1 | Go into | Go out | T<0.5t | Unimpeded 1 | Wait for a red time at most | ||||||||
2 | Go into | Wait for | Go out | 0.5t<T<t | Unimpeded 2 | Wait for 1 traffic lights at most | |||||||
3 | Go into | Wait for | Wait for | Go out | t<T<1.5t | Crowded 0 | Wait for that at most 1 red light adds 1 |
||||||
4 | Go into | Wait for | Wait for | Wait for | Go out | 1.5t<T<2t | Crowded 1 | Wait for 2 traffic lights cycles at most | |||||
5 | Go into | Wait for | Wait for | Wait for | Wait for | Go out | 2t<T<2.5t | Crowded 2 | Wait for that at most 1 red light adds 2 traffic lights cycles | ||||
6 | Go into | Wait for | Wait for | Wait for | Wait for | Wait for | Go out | 2.5t<T<3t | Stop up 0 | Wait for 3 traffic lights cycles at most | |||
7 | Go into | Wait for | Wait for | Wait for | Wait for | Wait for | Wait for | Go out | 3t<T<3.5t | Stop up 1 | Wait for that at most 1 red light adds 3 traffic lights cycles | ||
8 | Go into | Wait for | Wait for | Wait for | Wait for | Wait for | Wait for | Wait for | Go out | 3.5t<T<4t | Stop up 2 | Wait for 4 traffic lights cycles at most |
Annotate: t represents the traffic lights cycle in the table 1, and T represents the stand-by period
The flow process that realizes this algorithm as shown in Figure 3.
Wherein, Status---integer, expression traffic behavior grade, effectively span: 0-8; Wherein 0,1,2 is corresponding unobstructed, and 3,4,5 is corresponding crowded, 6,7,8 corresponding obstructions
Δ S---integer, the increment of expression current period traffic behavior grade Status
Δ L---float, the remainder of Δ S.Increased by 0.6 queue length as current period, state grade should change 0.6/0.5=1.2, rounds the current changes delta S=[1.2 in back]=1, residue Δ L=1.2-[1.2]=0.2 remain into following one-period
Step---constant, Step=0.5.The change step of traffic behavior grade, 0.5 queue length of every change, Status changes 1
V (Status)---constant, the outlet maximum flow of each Status correspondence.The maximum flow of outlet when being " unobstructed 1 " as V (1) expression traffic behavior
Temp---float, storage computation intermediate result
β---float, highway section inlet flow rate modifying factor
[]---expression bracket function
Algorithm two:
Ultimate principle: after the time period of making the highway section issued state [ST, ET], the transport information that only relies on inlet VD to gather is carried out state once more to this highway section and is judged.When ultimate principle was based on the highway section often the property sent out is blocked up, the change of traffic parameter had certain rules.
This rule is: often the property sent out is crowded never crowded with the crowded time course that generally has than length, and the variation of three basic parameters (flow, speed and occupation rate) of traffic flow is progressive before and after crowded the generation.
The flow process of algorithm two as shown in Figure 4.Wherein parameter declaration is as follows: the time saturation degree of Oi--------i 20 seconds record
The average discharge of Qi--------i 20 seconds record
The average velocity of Vi--------i 20 seconds record
Algorithm three:
The scope of application: the no coil and can't calculated flow rate of entering the mouth, outlet has the highway section of SCATS
Traffic state judging algorithm steps: (annotate: following rule and parameter need according to the real data adjustment)
1, SCATS phase place saturation degree DS is divided into several subclass
As: DS<=20, saturation degree are very low
20<DS<=40, saturation degree is low
40<DS<=100, the saturation degree height
DS>100, saturation degree are very high
2, the original flow VO of SCATS phase place being divided into several subclass according to phase time length is t second as hypothesis craspedodrome phase time length, and pass through v car then apart from t planted agent's second during by standard: VO<=0.2v, flow are very low
0.2v<VO<=0.5v, flow is low
0.5v<VO<=0.8v, the flow height
VO>0.8v, flow are very high
3, judgment rule:
Step1: the traffic behavior of judging this highway section outlet
The very low Then of If saturation degree
The very low Then of If flow exports unobstructed 0
The low Then of ElseIf flow exports unobstructed 1
The high Then of ElseIf flow exports unobstructed 2
The very high Then contradiction of ElseIf flow
End If
The ElseIf saturation degree is hanged down Then
The very low Then of If flow exports unobstructed 1
The low Then of ElseIf flow exports unobstructed 2
The high Then outlet crowded 0 of ElseIf flow
The very high Then contradiction of ElseIf flow
End If
The high Then of ElseIf saturation degree
The very low Then outlet of If flow stops up 1
The low Then outlet of ElseIf flow stops up 0
The high Then outlet crowded 2 of ElseIf flow
The very high Then outlet crowded 1 of ElseIf flow
End If
The very high Then of ElseIf saturation degree
The very low Then outlet of If flow stops up 2
The low Then outlet of ElseIf flow stops up 1
The high Then outlet of ElseIf flow stops up 0
The very high Then outlet crowded 2 of ElseIf flow
End If
End If
Step2: judge the highway section state in conjunction with the crossing, upstream
The If outlet is stopped up 0 or, 1 or, 2 Then highway sections and is stopped up (keeping the outlet grade)
Crowded 0 or, 1 or, 2 Then of ElseIf outlet
The outlet of If upstream is stopped up 0 or, 1 or, 2 Then highway sections and is stopped up (keeping upstream outlet grade)
Crowded 0 or, 1 or, the 2 Then highway sections of ElseIf upstream outlet crowded (keeping the outlet grade)
The ElseIf upstream exports unobstructed 0 or, 1 or 2 Then highway sections crowded (keeping the outlet grade)
End If
ElseIf exports unobstructed 0 or, 1 or, 2 Then
The outlet of If upstream is stopped up 0 or, 1 or, 2 Then highway sections and is stopped up (keeping upstream outlet grade)
Crowded 0 or, 1 or, the 2 Then highway sections of ElseIf upstream outlet crowded (keeping upstream outlet grade)
The ElseIf upstream exports unobstructed 0 or, 1 or 2 Then highway sections unobstructed (keeping the outlet grade)
End If
End If
Algorithm four:
Often have only one group of VD coil at each tunnel portal place, can only be by the jam situation of this group coil auxiliary judgment tunnel face; Or only there is one group of VD coil in middle somewhere in the highway section, will be by this group coil auxiliary judgment or checking highway section state, at this moment traffic flow can be similar to regards continuous stream as, can be with speed as main basis for estimation, just fairly obvious such as tunnel, Yan'an road rule, in case speed be lower than 30 kilometers/hour basic be exactly crowded send out into, judge in conjunction with occupation rate and account of the history more at this moment.With reference to judging that rule is as follows: (annotate: following rule and parameter need according to the real data adjustment)
Unobstructed near very high this section of Then of If speed
The medium Then of ElseIf speed
Crowded near this section of the high Then of If occupation rate
Unobstructed near low this section of Then of ElseIf occupation rate
End IF
ElseIf speed is hanged down Then
Stop up near this section of the high Then of If occupation rate
Unobstructed near low this section of Then of ElseIf occupation rate
End IF
End IF
Then occur erroneous judgement in practice as above-mentioned reference gauge, should consider that then the current traffic behavior of historic state and highway section, front and back that adds former steps of this highway section judges.
Algorithm five:
The scope of application
This module is mainly carried out the differentiation of highway section state according to 2m time headway and occupation rate information that VD gathers, is applicable to that the gateway has at least a place that the highway section of VD detecting device is arranged.
Handling principle:
Take all factors into consideration and the normal property of sending out takes place when crowded, time headway shortens, and occupation rate rises; Occupation rate continues rising time headway this traffic rule that descends on the contrary when take place stopping up, and traffic behavior is differentiated.
Judge rule:
If time headway>2
If occupation rate<0.5 is unimpeded;
Else if occupation rate>0.8 is stopped up;
Else is crowded;
Else if 1<time headway<2
If occupation rate<0.5 is unimpeded;
Else is crowded;
Else if time headway<1
If occupation rate<0.5 is crowded;
Else stops up;
(algorithm of dissimilar highway section selections is counted difference to comprehensive n algorithm, be 4 to the maximum) the highway section state of calculating, select to block up according to the requirement of one-level forecast and differentiate heavier state as issued state Z, take all factors into consideration simultaneously with this release cycle and close on upstream and downstream state in the cycle most, if there is not tangible contradiction to occur, then issue this state Z, and if contradictory in conjunction with after the upstream and downstream reasoning from logic correction as the issued state of this highway section in this cycle.
Claims (10)
1. the instant condition discrimination of a urban highway traffic and inducible system, by the traffic information collection subsystem, communication subsystem, transport information overall treatment platform, transport information issue subsystem and closed-circuit television watchdog subsystem constitute, it is characterized in that: described traffic information collection subsystem is connected with transport information overall treatment platform by described communication subsystem, described closed-circuit television watchdog subsystem is connected with transport information overall treatment platform by described communication subsystem, described transport information overall treatment platform is connected with described transport information issue subsystem by communication subsystem, described traffic information collection subsystem is gathered the traffic information data at road scene and is passed to described transport information overall treatment platform, described transport information overall treatment platform is handled traffic information data, and output induction information, by described transport information issue subsystem induction information is issued at the road scene, described closed-circuit television watchdog subsystem is delivered to the video information at road scene at the artificial supervision end of transport information overall treatment platform again.
2. the instant condition discrimination of urban highway traffic as claimed in claim 1 and inducible system, it is characterized in that: described transport information overall treatment platform is made of computing machine.
3. the instant condition discrimination of urban highway traffic as claimed in claim 2 and inducible system, it is characterized in that: in the process that described transport information overall treatment platform is handled traffic information data, unimpeded or the blocked state of traffic is divided into 9 continuous opinion ratings, phase difference of half queue length between two adjacent arbitrarily opinion ratings, by the traffic information collection subsystem gateway, current period highway section flow is measured, calculate the increment of queue length by computing machine according to gateway, current period highway section difference in flow, judge current suitable opinion rating according to the increment of queue length again.
4. the instant condition discrimination of urban highway traffic as claimed in claim 2 and inducible system, it is characterized in that: in the process that described transport information overall treatment platform is handled traffic information data, from the traffic information collection subsystem, read average discharge, average velocity and time saturation degree in the identical time period by computing machine, judge congestion status then.
5. the instant condition discrimination of urban highway traffic as claimed in claim 2 and inducible system, it is characterized in that: in the process that described transport information overall treatment platform is handled traffic information data, from the traffic information collection subsystem, read the phase place saturation degree of link flow by computing machine, compare apart from interior established standards flow when establishing fixedly, judge congestion status then.
6. the instant condition discrimination of urban highway traffic as claimed in claim 2 and inducible system, it is characterized in that: in the process that described transport information overall treatment platform is handled traffic information data, from the traffic information collection subsystem, read the vehicle in site road cross section by speed and occupation rate by computing machine, historical data in the binding data storehouse is judged congestion status then.
7. the instant condition discrimination of urban highway traffic as claimed in claim 2 and inducible system, it is characterized in that: in the process that described transport information overall treatment platform is handled traffic information data, from the traffic information collection subsystem, read time headway and occupation rate information by computing machine, judge congestion status then.
8. the instant condition discrimination of urban highway traffic as claimed in claim 1 and inducible system is characterized in that: described traffic information distribution system employing variable information plate issue Real-time Traffic Information.
9. the instant condition discrimination of urban highway traffic as claimed in claim 1 and inducible system is characterized in that: the mode that described communication subsystem adopts wire communication mode or communication or wire communication to combine with radio communication is worked.
10. the instant condition discrimination of urban highway traffic as claimed in claim 1 and inducible system is characterized in that: be provided with annular magnetic test coil or video data detecting sensor in the described traffic information collection subsystem.
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CN102201164A (en) * | 2010-03-23 | 2011-09-28 | 江苏云联科技有限公司 | Self-adapting quick response system for urban traffic congestion |
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CN102289937A (en) * | 2011-08-08 | 2011-12-21 | 上海电科智能系统股份有限公司 | Method for automatically discriminating traffic states of city surface roads based on stop line detector |
CN103065461A (en) * | 2011-10-19 | 2013-04-24 | 北京千橡网景科技发展有限公司 | Method and device used for collecting and obtaining traffic road condition information |
CN102768802A (en) * | 2012-07-12 | 2012-11-07 | 复旦大学 | Method for judging road vehicle jam based on finite-state machine (FSM) |
CN102890862A (en) * | 2012-09-29 | 2013-01-23 | 浙江大学 | Traffic condition analyzing device and method based on vector mode |
CN103606274A (en) * | 2012-12-18 | 2014-02-26 | 北京科技大学 | Urban road traffic state assessment method |
CN103606274B (en) * | 2012-12-18 | 2016-04-27 | 北京科技大学 | A kind of urban road traffic state assessment method |
CN103198686A (en) * | 2013-03-26 | 2013-07-10 | 东南大学 | Vehicle speed induction control method for reducing probability that vehicle breaks yellow light |
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CN105225477A (en) * | 2014-07-06 | 2016-01-06 | 临安巨丰城市配套设备有限公司 | A kind of road traffic detection system based on inspection well cover and method |
CN105279962A (en) * | 2014-07-06 | 2016-01-27 | 临安巨丰城市配套设备有限公司 | Urban traffic condition detection system and method based on wireless signal positioning |
CN105225477B (en) * | 2014-07-06 | 2017-07-28 | 临安巨丰城市配套设备有限公司 | A kind of road traffic detection method based on inspection well cover |
CN105279962B (en) * | 2014-07-06 | 2018-03-27 | 临安巨丰城市配套设备有限公司 | A kind of urban traffic conditions detecting system and method based on wireless signal positioning |
CN104200661A (en) * | 2014-09-05 | 2014-12-10 | 厦门大学 | Method for forecasting state changes of road traffic system |
CN104240505A (en) * | 2014-09-11 | 2014-12-24 | 胡又宏 | Method for analyzing road traffic video image information |
CN104240505B (en) * | 2014-09-11 | 2021-04-09 | 胡又宏 | Method for reading road traffic video image information |
CN104616512A (en) * | 2015-01-13 | 2015-05-13 | 南京金晓电子信息有限公司 | Distributed processing-based urban intelligent traffic guidance system |
CN104616512B (en) * | 2015-01-13 | 2017-02-08 | 江苏金晓电子信息股份有限公司 | Distributed processing-based urban intelligent traffic guidance system |
CN104574972A (en) * | 2015-02-13 | 2015-04-29 | 无锡物联网产业研究院 | Traffic state detection method and traffic state detection device |
CN104574972B (en) * | 2015-02-13 | 2017-05-10 | 无锡物联网产业研究院 | Traffic state detection method and traffic state detection device |
CN105225500A (en) * | 2015-08-20 | 2016-01-06 | 青岛海信网络科技股份有限公司 | A kind of traffic control aid decision-making method and device |
WO2017041524A1 (en) * | 2015-09-11 | 2017-03-16 | 杭州海康威视数字技术股份有限公司 | Method and device for processing traffic road information |
CN105355051A (en) * | 2015-12-09 | 2016-02-24 | 中兴软创科技股份有限公司 | Congestion identification method and device based on electronic police data |
CN108122423A (en) * | 2016-11-28 | 2018-06-05 | 中国移动通信有限公司研究院 | A kind of method for guiding vehicles, apparatus and system |
CN106781460A (en) * | 2016-11-30 | 2017-05-31 | 北京掌行通信息技术有限公司 | A kind of road section traffic volume state determines method and device |
CN106846847A (en) * | 2017-02-18 | 2017-06-13 | 山东交通学院 | A kind of lane occupancy alarming device |
CN106710259A (en) * | 2017-02-18 | 2017-05-24 | 山东交通学院 | Lane occupancy rate warning method |
CN107038876A (en) * | 2017-04-07 | 2017-08-11 | 北京易华录信息技术股份有限公司 | A kind of traffic congestion prompt system based on vehicle electron identifying, method and device |
CN108647879A (en) * | 2018-05-08 | 2018-10-12 | 深圳市公安局公交分局 | Real-time congestion index computational methods, device and the medium of Metro Network |
CN109035766A (en) * | 2018-07-13 | 2018-12-18 | 北京工业大学 | The dynamic traffic control and induction cooperative optimization method of variable cycle are considered under a kind of car networking environment |
CN110517498A (en) * | 2019-09-23 | 2019-11-29 | 浙江科技学院 | A kind of control method and system of the prevention highway congestion based on wireless communication |
CN112071088A (en) * | 2020-08-28 | 2020-12-11 | 陕西科技大学 | Anti-traffic-jam traffic light control system and control method |
CN114220259A (en) * | 2021-08-13 | 2022-03-22 | 苏交科集团股份有限公司 | Expressway emergency control method based on data fusion |
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