CN109859502A - A kind of intelligent transportation system and its control method based on combined network communication technology - Google Patents
A kind of intelligent transportation system and its control method based on combined network communication technology Download PDFInfo
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- CN109859502A CN109859502A CN201910146702.3A CN201910146702A CN109859502A CN 109859502 A CN109859502 A CN 109859502A CN 201910146702 A CN201910146702 A CN 201910146702A CN 109859502 A CN109859502 A CN 109859502A
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Abstract
The invention discloses a kind of intelligent transportation systems based on combined network communication technology, it is characterised in that it includes traffic lights, traffic light controller, camera system, region traffic control center, cloud platform, it is portable can interconnection device and vehicle-mounted networking communication device.Intelligent transportation system and its control method provided by the invention based on combined network communication technology, it can select optimal traffic path, to avoid traffic congestion section, and the reasonable speed of selection avoids red light by crossing, to reach the time for reducing and waiting red light and coping with when traffic jam is walked or drive slowly, and then reduce the purpose of oil consumption.For intelligent transportation system of the invention in the case where meeting real-time traffic flexibility, manual intervention workload is small, it may have lower cost.
Description
Technical field
The present invention relates to intelligent transportation field more particularly to a kind of intelligent transportation systems based on combined network communication technology.
Background technique
As living standards of the people improve, automobile enters average family, and consequent is the traffic congestion in city
And because caused by traffic congestion automobile fuel consumption increase.Currently, requiring a great deal of time red in waiting when people drive to go on a journey
Lamp and the situation of reply traffic jam jogging, therefore select best traffic path to avoid traffic congestion section, and selection is rationally
Speed avoids red light by crossing, becomes the best solution of current reply traffic congestion.
Domestic communication lamp control at present is mainly two class of timing allocation mode and monitoring room control mode, wherein timing allocation
Equipment needed for mode is simple, small investment, but traffic control flexibility is poor.In some cases, the lateral lane of intersection
No vehicle passes through, and the driver in this lane need to force to wait red light, therefore driver is caused to increase waiting time and vehicle oil consumption
Increase.Traffic lights is controlled by monitoring room, can be enough according to real-time traffic flexibility, but manual intervention heavy workload, cost
It is high.
The patent of publication number US6317058B1 is handed in real time by vehicle GPS location technology and video detection means analysis
Logical congestion, rationally controls traffic lights, which does not consider that GPS signal is weak in city and position error is to the system
Influence.The patent of publication number CN205582271U controls the traffic of crossroad by real-time monitoring vehicle, flow of the people situation
Lamp delay switches different mode according to actual state, but this is that following a period of time is not passed through the traffic intersection information
It counts, and without saving available data, does not analyze it, do not obtain the traffic rule in the period of the city
Rule.The patent of publication number CN103236163B is evaded using hot spot progress traffic congestion is excavated, but the patent does not consider heat
Point mostly cannot be straight although it is more to can reflect out the movable number in relevant range with the non-linear relationship of road vehicle congestion
It connects and judges to be at traffic congestion state at this.
Summary of the invention
It is an object of the present invention to provide a kind of intelligent transportation system and its control method based on combined network communication technology, Neng Gouxuan
Optimal traffic path is selected, so that traffic congestion section is avoided, and the reasonable speed of selection avoids red light by crossing, with
Reach the time for reducing and waiting red light and coping with when traffic jam is walked or drive slowly, and then reduces the purpose of oil consumption.
The present invention solves technical problem and adopts the following technical scheme that
A kind of intelligent transportation system based on combined network communication technology, including traffic lights, traffic light controller, phase
Machine system, region traffic control center, cloud platform, it is portable can interconnection device and vehicle-mounted networking communication device；
The traffic lights are arranged at crossing, for controlling the passage of pedestrian and vehicle；
The traffic light controller receiving area traffic control center signal, for controlling traffic light signals, to adjust
Save the vehicle and pedestrian's flow at current crossing；
The camera system is used to the traffic information in the region of crossing being sent to regional traffic control in the form of image data
Center processed；
It is described it is portable can interconnection device and vehicle networked communication device for completing and region traffic control center and cloud
Hold the information exchange of platform；
The region traffic control center utilizes the image data of camera system transmission, carries out magnitude of traffic flow statistics, vehicle
Identification and pedestrian's identification, formulate this region traffic control strategy；
The data of cloud platform acquisition city scope inner region traffic control center, obtain the traffic information of vehicle,
Historical traffic data library and real time traffic data library are constructed, traffic control strategy in city scope is formulated.
Further, the traffic information of the vehicle includes vehicle ID, travel route and passes through in any region traffic control
The time of the heart.
Further, the region traffic control center identification does not pass through crossing to pedestrian at the appointed time, passes through
Traffic lights are controlled, green time is extended, and pedestrains safety information warning is sent to the waiting vehicle at crossing by V2X technology
?.
Further, time t and traffic lights that the region traffic control center changes traffic lights next time
Status information is sent to the vehicle-mounted networking communication device for vehicle of passing through, and by current location and signal lamp information converting, calculates vehicle
It is unimpeded drive through traffic lights needed for speed, user formulates driving strategy according to speed.
Further, the region traffic control center is by image recognition technology identification purpose-built vehicle or by connecing
The request of the priority pass of the vehicle-mounted networking communication device transmission of purpose-built vehicle is received, and formulates its traffic letter preferentially passed through
Signal lamp control strategy.
Further, the purpose-built vehicle includes ambulance, fire fighting truck and police car.
Further, the cloud platform can be led when obtaining user's trip based on vehicle mounted guidance or mobile phone by networking technology
Navigate the route planned, is uploaded to real-time traffic using the route information of vehicle and travel time information as vehicle driving traffic information
Database, and by the vehicle driving traffic information and historical traffic data library information in statistics city scope, carry out city not
Carry out the road traffic forecast analysis in a period of time.
Further, departure time, homeposition and the end position information that the cloud platform is inputted by user, are based on
The road traffic condition of prediction, cooks up several traffic paths, while cloud platform is by VMT Vehicle-Miles of Travel oil consumption and waiting
Oil consumption when red light is added, and provides the time-consuming and fuel consumption information of different traffic paths, is selected for user.
Further, the cloud platform construction historical traffic data library comprises the steps of:
S1, record crossing Real-Time Traffic Volume information (including pedestrian and vehicle flow information), put it into real-time traffic
Database；After daily zero point, it is stored in historical traffic data library；
S2, identity marks are carried out to vehicle by license plate number, counts its region traffic control center continuously driven, shape
At this vehicle traffic information (including vehicle ID, route and time), historical traffic data library is put it into；
S3, the statistics by a period of time, if a vehicle drive route information, which is stablized, repeats (same routes and identical
Period), then be attributed to stable state traffic information, otherwise in deleting history traffic database this vehicle drive route letter
Breath；
Preferably, statistic of classification storage is carried out according to working day and festivals or holidays in historical traffic data library, specifically to certain day,
Statistic of classification need to be carried out according to commuter time section, off-hour section and meteorological condition etc..
Further, the cloud platform construction real time traffic data library includes that steps are as follows:
S1: real-time crossing traffic flow information (comprising pedestrian and vehicle flow information) is recorded, real-time traffic is put it into
Database；
S2: obtaining the route that user's trip is planned based on vehicle mounted guidance or Mobile Telephone Gps, by the route information of vehicle and goes out
Row temporal information is uploaded to real time traffic data library as vehicle driving traffic information.
S3: real-time vehicle traffic information is recorded.
The present invention solves technical problem and adopts the following technical scheme that
A kind of control method of the intelligent transportation system based on combined network communication technology, comprising the following steps:
S1, user by it is portable can interconnection device or vehicle-mounted networking communication apparatus, by the starting point of traffic path, terminate
Point and departure time are sent to cloud platform；
S2, cloud platform are based on starting point and ending point and cook up several traffic paths；
The region traffic control center that S3, each traffic path of statistics are passed through；
The time t of S4, prediction vehicle driving to region traffic control center；
S5, historical traffic data library and real time traffic data library data are based on, predict the region traffic control center of t moment
The magnitude of traffic flow, according to traffic condition speculate transit time；
S6, cloud platform estimate each traffic path required time and oil consumption；
Several traffic paths that S7, user plan according to cloud platform, select its practical traffic path, and by selection
Route information is uploaded to the real time traffic data library of cloud platform.
The invention has the following beneficial effects: the intelligent transportation system provided by the invention based on combined network communication technology and its
Control method can select optimal traffic path, to avoid traffic congestion section, and the reasonable speed of selection passes through crossing
To avoid red light, to reach the time for reducing and waiting red light and coping with when traffic jam is walked or drive slowly, and then the purpose of oil consumption is reduced.
For intelligent transportation system of the invention in the case where meeting real-time traffic flexibility, manual intervention workload is small, it may have compared with
Low cost.
Detailed description of the invention
Fig. 1 is that the intelligent transportation system of the invention based on combined network communication technology constitutes schematic diagram；
Fig. 2 is that single intersection traffic system is constituted in the intelligent transportation system of the invention based on combined network communication technology
Schematic diagram；
Fig. 3 is that city domain traffic system constitutes signal in the intelligent transportation system of the invention based on combined network communication technology
Figure；
Fig. 4 is the intelligent transportation system medium cloud end platform functional schematic of the invention based on combined network communication technology；
Fig. 5 is vehicle traffic information schematic diagram in the intelligent transportation system of the invention based on combined network communication technology；
Fig. 6 is that user is selected by intelligent transportation system in the intelligent transportation system of the invention based on combined network communication technology
The data flow diagram of route；
Fig. 7 is that vehicle is shown by the data flow of cross-channel mouth in the intelligent transportation system of the invention based on combined network communication technology
It is intended to.
The mark in the figure shows: 1- camera system；2- traffic light controller；3- traffic lights；4- regional traffic
Control centre；5- is portable can interconnection device；The cloud 6- platform；7- vehicle-mounted networking communication device.
Specific embodiment
Technical solution of the present invention is further elaborated below with reference to examples and drawings.
Embodiment 1
A kind of intelligent transportation system based on combined network communication technology is present embodiments provided,
As shown in Figure 1, a kind of intelligent transportation system based on combined network communication technology, including traffic lights, traffic signals
Lamp controller, camera system, region traffic control center, cloud platform, it is portable can interconnection device (such as mobile phone) and vehicle-mounted
Combined network communication device；
The traffic lights are arranged at crossing, for controlling the passage of pedestrian and vehicle；
The traffic light controller receiving area traffic control center signal, for controlling traffic light signals, to adjust
Save the vehicle and pedestrian's flow at current crossing；
The camera system is used to the traffic information in the region of crossing being sent to regional traffic control in the form of image data
Center processed；
It is described it is portable can interconnection device and vehicle networked communication device for completing and region traffic control center and cloud
Hold the information exchange of platform；
The region traffic control center utilizes the image data of camera system transmission, carries out magnitude of traffic flow statistics, vehicle
Identification and pedestrian's identification, formulate this region traffic control strategy；
The data of cloud platform acquisition city scope inner region traffic control center, obtain the traffic information of vehicle,
Historical traffic data library and real time traffic data library are constructed, traffic control strategy in city scope is formulated.
In an embodiment of the present invention, the image data that the region traffic control center is transmitted by camera system, it is real
Shi Tongji current lane vehicle flow identifies vehicle number by image recognition technology, by the information of current vehicle flow and
Cloud platform is sent to by the information of the vehicle at the crossing；Regional Control Center can also identify vehicle identification, simultaneously
The time at the crossing that record vehicle passes through, the location information of vehicle and temporal information are sent to cloud platform；Cloud platform is logical
Cross analysis a period of time in multiple regions control centre data, can obtain vehicle traffic information (including vehicle ID, traveling road
Line and the time for passing through any region traffic control center), if same vehicle traffic information frequently occurs, by the friendship of this vehicle
Communication breath is classified as stable state traffic information, and is used for traffic forecast.
The region traffic control center monitors crossing region transportation situation by camera system, the road is clear to ensure and
Flexible traffic control strategy is formulated in traffic safety, that is, passes through control of the implementation of Traffic Light Controller to traffic lights, example
Such as: if recognize pedestrian does not complete passing through for crossing at the appointed time, by controlling traffic lights, when extending green light
Between.Pedestrains safety information warning is sent to the waiting vehicle at crossing by V2X technology simultaneously.
The time t and traffic signal light condition information that the region traffic control center changes traffic lights next time
It is sent to the vehicle-mounted networking communication device (or the portable of user can interconnection device) for vehicle of passing through, passes through current location and signal
Lamp information converting, calculates speed needed for vehicle smooth drives through traffic lights, and user formulates driving strategy according to speed.
Traffic control center identifies purpose-built vehicle (such as ambulance, fire fighting truck, police car) by image recognition technology
Or the request of the priority pass of the transmission of the vehicle-mounted networking communication device by receiving purpose-built vehicle, and it is preferential logical to formulate it
The Traffic signal control strategy crossed.
In an embodiment of the present invention, cloud platform receives the data of all areas traffic control center in city scope,
Monitor Current City Road traffic condition.Cloud platform can by networking technology, when obtaining user's trip based on vehicle mounted guidance or
The route of Mobile Telephone Gps planning, is uploaded to reality using the route information of vehicle and travel time information as vehicle driving traffic information
When traffic database；And by the vehicle driving traffic information and historical traffic data library information in statistics city scope, carry out
Road traffic forecast analysis in a period of time in future of city.
Specifically, departure time, homeposition and the end position information that cloud platform is inputted by user, based on prediction
Road traffic condition, cook up several traffic paths, while cloud platform by VMT Vehicle-Miles of Travel oil consumption and waits red light
When oil consumption be added, provide the time-consuming and fuel consumption information of different traffic paths, for user select.
In addition, cloud platform is based on city totality traffic congestion situation, traffic control strategy is formulated, corresponding region is sent to
Traffic control center, to dredge road traffic congestion.
In an embodiment of the present invention, cloud platform construction historical traffic data library comprises the steps of:
S1, record crossing Real-Time Traffic Volume information (including pedestrian and vehicle flow information), put it into real-time traffic
Database；After daily zero point, it is stored in historical traffic data library；
S2, identity marks are carried out to vehicle by license plate number, counts its region traffic control center continuously driven, shape
At this vehicle traffic information (including vehicle ID, route and time), historical traffic data library is put it into；
S3, the statistics by a period of time, if a vehicle drive route information, which is stablized, repeats (same routes and identical
Period), then be attributed to stable state traffic information, otherwise in deleting history traffic database this vehicle drive route letter
Breath；
Preferably, statistic of classification storage is carried out according to working day and festivals or holidays in historical traffic data library, specifically to certain day,
Statistic of classification need to be carried out according to commuter time section, off-hour section and meteorological condition etc..
Cloud platform construction real time traffic data library includes that steps are as follows:
S1: real-time crossing traffic flow information (comprising pedestrian and vehicle flow information) is recorded, real-time traffic is put it into
Database；
S2: obtaining the route that user's trip is planned based on vehicle mounted guidance or Mobile Telephone Gps, by the route information of vehicle and goes out
Row temporal information is uploaded to real time traffic data library as vehicle driving traffic information.
S3: real-time vehicle traffic information is recorded.
As shown in figure 5, vehicle 1 is T1, T2, T3, T4 and T5 by A, B, C, D and E location and time, if T1 is to the T5 time
Interior vehicle belongs to continuous operation, then the id information of vehicle, location information (A-E) and temporal information (T1-T5) constitute the vehicle
Traffic information, each vehicle can have a plurality of traffic information.The travel route that vehicle 2 passes through navigation programming is F, D and G, is passed through
Calculating prediction, it passes through the time as t1, t2 and t3, and then vehicle 2 says that traffic information is uploaded to cloud platform.Cloud platform passes through
Time and spatial analysis can then prejudge if when T4 is carved with the traffic information beyond its maximum traffic volume in D point in T4 moment, D
Point has traffic congestion.
Embodiment 2
Present embodiments provide a kind of control method of intelligent transportation system based on combined network communication technology.
As shown in fig. 6, user can carry out traffic path selection by intelligent traffic control system comprising following step
It is rapid:
S1, user by it is portable can interconnection device or vehicle-mounted networking communication apparatus, by the starting point of traffic path, terminate
Point and departure time are sent to cloud platform；
S2, cloud platform are based on starting point and ending point and cook up several traffic paths；
The region traffic control center that S3, each traffic path of statistics are passed through；
The time t of S4, prediction vehicle driving to region traffic control center；
S5, historical traffic data library and real time traffic data library data are based on, predict the region traffic control center of t moment
The magnitude of traffic flow, according to traffic condition speculate transit time；
S6, cloud platform estimate each traffic path required time and oil consumption；
Several traffic paths that S7, user plan according to cloud platform, select its practical traffic path, and by selection
Route information is uploaded to the real time traffic data library of cloud platform.
Specifically, in step s 5, using the data of historical data base as radix, if real-time data base is shown, N number of new use
Family is by navigation selection by way of the route in this place, and the time reached herein is also time t, then accelerate N in its technology.
As shown in fig. 7, pedestrian and vehicle are by intersection, be described as follows: the special cars such as fire fighting truck, ambulance possess
Its travel route can be uploaded to cloud platform real time traffic data if it is mounted with V2X communication apparatus by the current privilege of green
A green channel is opened up for special car in library；If vehicle does not install V2X communication apparatus, Regional Control Center can pass through image
It identifies the special car, while controlling traffic lights as green, open up a green channel for special car.It is sailed to vehicle
From the region, Regional Control Center rationally carries out signal lamp transformation according to condition of road surface.
Ordinary user's vehicle, if it is mounted with V2X communication apparatus, the region that can be passed through by cloud platform and currently is handed over
Logical control centre obtains the time t of traffic lights transformation next time, and after transformation signal lamp state (red light phase,
Green light phase, amber light state).Vehicle can calculate vehicle without waiting for red according to it at a distance from traffic lights and time t
Car speed needed for lamp.If the region has special car to pass through, there are also pedestrians in the alert conditions such as walking, vehicle for pedestrian crossing ahead
Information warning can be obtained by cloud platform or region traffic control center, avoid dangerous situation.
The sequencing of above embodiments is not only for ease of description, represent the advantages or disadvantages of the embodiments.
Finally, it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although
Present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that: it still may be used
To modify the technical solutions described in the foregoing embodiments or equivalent replacement of some of the technical features；
And these are modified or replaceed, technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution spirit and
Range.
Claims (12)
1. a kind of intelligent transportation system based on combined network communication technology, which is characterized in that including traffic lights, traffic lights
Controller, camera system, region traffic control center, cloud platform, it is portable can interconnection device and vehicle-mounted networking communication device；
The traffic lights are arranged at crossing, for controlling the passage of pedestrian and vehicle；
The traffic light controller receiving area traffic control center signal is worked as controlling traffic light signals with adjusting
The vehicle and pedestrian's flow at preceding crossing；
The camera system is for the traffic information in the region of crossing to be sent in region traffic control in the form of image data
The heart；
It is described it is portable can interconnection device and vehicle networked communication device it is flat with region traffic control center and cloud for completing
The information exchange of platform；
The region traffic control center utilizes the image data of camera system transmission, carries out magnitude of traffic flow statistics, vehicle identification
Identification and pedestrian's identification, formulate this region traffic control strategy；
The data of cloud platform acquisition city scope inner region traffic control center, obtain the traffic information of vehicle, construct
Traffic control strategy in city scope is formulated in historical traffic data library and real time traffic data library.
2. the intelligent transportation system according to claim 1 based on combined network communication technology, which is characterized in that the vehicle
Traffic information includes vehicle ID, travel route and the time by any region traffic control center.
3. the intelligent transportation system according to claim 1 based on combined network communication technology, which is characterized in that further, institute
It states region traffic control center identification and does not pass through crossing at the appointed time to pedestrian, by controlling traffic lights, prolong
Long green time, and pedestrains safety information warning is sent to the waiting vehicle at crossing by V2X technology.
4. the intelligent transportation system according to claim 1 based on combined network communication technology, which is characterized in that hand in the region
The time that traffic lights next time change and traffic signal light condition information are sent to the vehicle for vehicle of passing through by logical control centre
Combined network communication device is carried, by current location and signal lamp information converting, vehicle smooth is calculated and drives through needed for traffic lights
Speed, user formulate driving strategy according to speed.
5. the intelligent transportation system according to claim 1 based on combined network communication technology, which is characterized in that hand in the region
Logical control centre identifies purpose-built vehicle or the vehicle-mounted networking by receiving purpose-built vehicle by image recognition technology
The request for the priority pass that communication device is sent, and formulate its Traffic signal control strategy preferentially passed through.
6. the intelligent transportation system according to claim 5 based on combined network communication technology, which is characterized in that the special use
Way vehicle includes ambulance, fire fighting truck and police car.
7. the intelligent transportation system according to claim 1 based on combined network communication technology, which is characterized in that the cloud is flat
Platform can be by networking technology, the route planned when obtaining user's trip based on vehicle mounted guidance or Mobile Telephone Gps, by the route of vehicle
Information and travel time information are uploaded to real time traffic data library as vehicle driving traffic information, and pass through statistics city scope
Interior vehicle driving traffic information and historical traffic data library information carries out the road traffic prediction in the following a period of time of city
Analysis.
8. the intelligent transportation system according to claim 7 based on combined network communication technology, which is characterized in that the cloud is flat
Platform building historical traffic data library comprises the steps of:
S1, record crossing Real-Time Traffic Volume information, put it into real time traffic data library；After daily zero point, it is stored in history
Traffic database；
S2, identity marks are carried out to vehicle by license plate number, counts its region traffic control center continuously driven, forms this
Vehicle traffic information puts it into historical traffic data library；
S3, the statistics by a period of time are attributed to stable state friendship if vehicle drive route information stabilization repeats
Communication ceases, otherwise this vehicle drive route information in deleting history traffic database.
9. the intelligent transportation system according to claim 8 based on combined network communication technology, which is characterized in that the history is handed over
Carry out statistic of classification storage according to working day and festivals or holidays in logical database, and need to according to commuter time section, it is non-on and off duty when
Between section and meteorological condition etc. carry out statistic of classification.
10. the intelligent transportation system according to claim 7 based on combined network communication technology, which is characterized in that the cloud
Platform construction real time traffic data library includes that steps are as follows:
S1: real-time crossing traffic flow information is recorded, real time traffic data library is put it into；
S2: the route that user's trip is planned based on vehicle mounted guidance or Mobile Telephone Gps is obtained, when by the route information of vehicle and trip
Between information as vehicle driving traffic information be uploaded to real time traffic data library；
S3: real-time vehicle traffic information is recorded.
11. the intelligent transportation system according to claim 1 based on combined network communication technology, which is characterized in that the cloud
Departure time, homeposition and the end position information that platform is inputted by user, the road traffic condition based on prediction, planning
Several traffic paths out, at the same cloud platform by VMT Vehicle-Miles of Travel oil consumption and wait red light when oil consumption be added, provide not
With the time-consuming and fuel consumption information of traffic path, selected for user.
12. a kind of control method of the intelligent transportation system based on combined network communication technology as described in one of claim 1-11,
Characterized by comprising the following steps:
S1, user by it is portable can interconnection device or vehicle-mounted networking communication apparatus, by the starting point of traffic path, terminating point and
Departure time is sent to cloud platform；
S2, cloud platform are based on starting point and ending point and cook up several traffic paths；
The region traffic control center that S3, each traffic path of statistics are passed through；
The time t of S4, prediction vehicle driving to region traffic control center；
S5, historical traffic data library and real time traffic data library data are based on, predict the friendship at the region traffic control center of t moment
Through-current capacity speculates transit time according to traffic condition；
S6, cloud platform estimate each traffic path required time and oil consumption；
Several traffic paths that S7, user plan according to cloud platform, select its practical traffic path, and by the route of selection
Information is uploaded to the real time traffic data library of cloud platform.
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Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1317422A (en) * | 2001-04-28 | 2001-10-17 | 陈新愚 | Method and equipment for vehicle pilot and road network management |
| JP2005332071A (en) * | 2004-05-18 | 2005-12-02 | Sumitomo Electric Ind Ltd | System for tracking visually handicapped person and method for detecting visually handicapped person |
| CN101604482A (en) * | 2008-06-13 | 2009-12-16 | 上海宝康电子控制工程有限公司 | Transit equipment composite control apparatus and system |
| CN204965763U (en) * | 2015-09-24 | 2016-01-13 | 杭州冷倍冠科技有限公司 | Intersection traffic control system |
| CN105869416A (en) * | 2016-06-12 | 2016-08-17 | 京东方科技集团股份有限公司 | Traffic signal control device, control method and control system |
| CN205943100U (en) * | 2016-07-28 | 2017-02-08 | 清华大学苏州汽车研究院（吴江） | HMI shows system for V2X scene |
| WO2017070373A1 (en) * | 2015-10-20 | 2017-04-27 | Stc, Inc. | Systems and methods for the detection of pedestrians and small vehicles at roadway intersections |
| CN106781547A (en) * | 2016-12-29 | 2017-05-31 | 深圳市金溢科技股份有限公司 | A kind of traffic lights intelligent control method, roadside device and system |
| CN106781592A (en) * | 2017-01-04 | 2017-05-31 | 成都四方伟业软件股份有限公司 | A kind of traffic navigation system and method based on big data |
| CN106971568A (en) * | 2017-05-28 | 2017-07-21 | 佛山市神风航空科技有限公司 | A kind of traffic-control device real-time control system |
| CN107622678A (en) * | 2017-10-18 | 2018-01-23 | 冯迎安 | A kind of intelligent traffic control system and its method based on image procossing |
| CN107945540A (en) * | 2017-10-27 | 2018-04-20 | 清华大学苏州汽车研究院（吴江） | A kind of bus or train route cooperative control system of signal lamp intersection |
-
2019
- 2019-02-27 CN CN201910146702.3A patent/CN109859502A/en active Pending
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1317422A (en) * | 2001-04-28 | 2001-10-17 | 陈新愚 | Method and equipment for vehicle pilot and road network management |
| JP2005332071A (en) * | 2004-05-18 | 2005-12-02 | Sumitomo Electric Ind Ltd | System for tracking visually handicapped person and method for detecting visually handicapped person |
| CN101604482A (en) * | 2008-06-13 | 2009-12-16 | 上海宝康电子控制工程有限公司 | Transit equipment composite control apparatus and system |
| CN204965763U (en) * | 2015-09-24 | 2016-01-13 | 杭州冷倍冠科技有限公司 | Intersection traffic control system |
| WO2017070373A1 (en) * | 2015-10-20 | 2017-04-27 | Stc, Inc. | Systems and methods for the detection of pedestrians and small vehicles at roadway intersections |
| CN105869416A (en) * | 2016-06-12 | 2016-08-17 | 京东方科技集团股份有限公司 | Traffic signal control device, control method and control system |
| CN205943100U (en) * | 2016-07-28 | 2017-02-08 | 清华大学苏州汽车研究院（吴江） | HMI shows system for V2X scene |
| CN106781547A (en) * | 2016-12-29 | 2017-05-31 | 深圳市金溢科技股份有限公司 | A kind of traffic lights intelligent control method, roadside device and system |
| CN106781592A (en) * | 2017-01-04 | 2017-05-31 | 成都四方伟业软件股份有限公司 | A kind of traffic navigation system and method based on big data |
| CN106971568A (en) * | 2017-05-28 | 2017-07-21 | 佛山市神风航空科技有限公司 | A kind of traffic-control device real-time control system |
| CN107622678A (en) * | 2017-10-18 | 2018-01-23 | 冯迎安 | A kind of intelligent traffic control system and its method based on image procossing |
| CN107945540A (en) * | 2017-10-27 | 2018-04-20 | 清华大学苏州汽车研究院（吴江） | A kind of bus or train route cooperative control system of signal lamp intersection |
Non-Patent Citations (1)
| Title |
|---|
| 于广: "《交通世界》", 31 December 2001 * |
Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
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| CN110930739A (en) * | 2019-11-14 | 2020-03-27 | 佛山科学技术学院 | Intelligent traffic signal lamp control system based on big data |
| CN111653085A (en) * | 2019-11-18 | 2020-09-11 | 摩登汽车有限公司 | Traffic control system and method |
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| CN111613079A (en) * | 2020-05-09 | 2020-09-01 | 苏州工业园区职业技术学院 | Intelligent driving automobile motion control system |
| CN111489571A (en) * | 2020-05-12 | 2020-08-04 | 东风汽车集团有限公司 | V2X-based vehicle intersection priority passing method and system |
| CN111489571B (en) * | 2020-05-12 | 2021-11-23 | 东风汽车集团有限公司 | V2X-based vehicle intersection priority passing method and system |
| CN111640321A (en) * | 2020-05-29 | 2020-09-08 | 深圳市元征科技股份有限公司 | Congestion relieving method based on edge calculation and related equipment |
| CN111640321B (en) * | 2020-05-29 | 2021-11-12 | 深圳市元征科技股份有限公司 | Congestion relieving method based on edge calculation and related equipment |
| CN112116812A (en) * | 2020-09-25 | 2020-12-22 | 安徽达尔智能控制系统股份有限公司 | Vehicle road cooperative control system based on V2X car networking technology |
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