CN109712413A - The cross control of traffic and road control method and system for having automatic regulation function - Google Patents
The cross control of traffic and road control method and system for having automatic regulation function Download PDFInfo
- Publication number
- CN109712413A CN109712413A CN201910085199.5A CN201910085199A CN109712413A CN 109712413 A CN109712413 A CN 109712413A CN 201910085199 A CN201910085199 A CN 201910085199A CN 109712413 A CN109712413 A CN 109712413A
- Authority
- CN
- China
- Prior art keywords
- traffic
- vehicle
- current
- cycle
- flow information
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Abstract
The invention discloses a kind of cross control of traffic and road control method and system for having automatic regulation function, method includes: to obtain real time monitoring video data;Monitor video data are pressed into current sequential classification, including 12 kinds of current directions;By the real time monitoring video data processing in 12 kinds of a cycle current directions, the car flow information in the period on 12 kinds of current directions is obtained;According to the corresponding relationship of the car flow information of upper a cycle and preset threshold, the transit time in 12 kinds of next cycle current directions is adjusted;According to the corresponding relationship of the car flow information of upper a cycle and jam level, congestion information is uploaded to monitoring center.Using the embodiment of the present invention, the traffic loading of crossroad can be improved with adjust automatically cross control of traffic and road.
Description
Technical field
The present invention relates to traffic management method correlative technology fields, and in particular to a kind of cross for having automatic regulation function
Control of traffic and road control method and system.
Background technique
With the raising of China's level of economic development, more and more family's selection purchase vehicle trips.With automobile sales volume
The problem of promotion, congestion in road also becomes driver's headache, therefore, it is urgently to be resolved for how improving road traffic bearing capacity
The technical issues of.
The key for improving road traffic bearing capacity is to improve the traffic capacity in emphasis section, in general restriction road
The key of traffic carrying capacity is crossroad, and the management of crossroad at present has been substantially traffic light control, red
The clearance time of green signal light in all directions is controlled according to pre-set programs, cannot be made according to actual road conditions flexibly
Adjustment, often will appear traffic congestion on a direction, and on another direction vehicle rareness scene;Want to change this feelings
Condition generally requires the artificial clearance time to live or long-range adjustment traffic light, and substantial amounts is red with the development of the city
Green signal light can not be adjusted manually entirely, thus it is proposed that a kind of cross control of traffic and road for having automatic regulation function
Control method and system are to solve the above problems.
Summary of the invention
In view of the above existing problems in the prior art, the present invention provides a kind of cross roads for having automatic regulation function
Traffic administration control method and system, can be according to practical vehicle flowrate automation control traffic light putting in all directions
The row time plays the effect for improving road capacity.
To achieve the goals above, a kind of present invention uses cross control of traffic and road the described method includes:
Step 1: obtaining real time monitoring video data;
Step 2: monitor video data are pressed current sequential classification, including 12 kinds of current directions;
Step 3: the real time monitoring video data in 12 kinds of a cycle current directions is handled, 12 kinds were obtained in the period
Car flow information on current direction;
Step 4: being gathered around according to the corresponding relationship of the car flow information of upper a cycle and jam level to monitoring center upload
Stifled information, the jam level includes: unimpeded, part congestion, congestion, paralysis;
Step 5: adjusting next cycle 12 according to the corresponding relationship of the car flow information of upper a cycle and preset threshold
The transit time in the current direction of kind;
Step 6: the work of step 1 to five is recycled into after next cycle.
As advanced optimizing for above scheme, the step 2 regards monitoring including the period according to current direction
Frequency division section, classification.
As advanced optimizing for above scheme, the step 3, including 4 start-finish lines are set up at the parting of the ways;It extracts
The vehicle center point of video image;Judge starting line and finishing line that vehicle center point is passed through, and is determined according to judging result
The passage direction of vehicle.
As advanced optimizing for above scheme, the step 3 further includes obtaining vehicle center point to pass through monitoring start-stop
The path H of line and pass through time T;Obtain the scaling ratio I of video pictures and actual field;Obtain the average row that first car passes through
Vehicle speed V1=I*H/T.
As advanced optimizing for above scheme, the step 4, including within the period passage side upwardly through
Clearance time t on vehicle fleet size S and a current direction;The car flow information includes that vehicle is flat on 12 kinds of current directions
Average throughput M in equal running speed V and vehicle unit time;
The S vehicle average speeds V=(V1+V2+……+VS)/S;
Average throughput M=S/t in the vehicle unit time;
When V is more than or equal to 20, and M is less than or equal to 0.3, shorten the clearance time of next cycle on the passage direction extremely
M=0.5, but t is not less than 20;
When V is less than or equal to 5, and M is less than or equal to 0.2, extend clearance time of next cycle on the passage direction to M
=0.3, but t is not more than 90;
On 12 kinds of current directions, when V is all larger than 5, the time t in each current direction is identical, and t=30;
Vehicle on the right-hand rotation direction at each crossing has not to be limited by passage;
Vehicle and through vehicles on the left-hand rotation direction at each crossing and opposite crossing share a control signal, and compare
Left-hand rotation direction, the left-hand rotation direction in straight trip direction and opposite crossing, direction of keeping straight on the vehicle unit time in average throughput M it is big
Small, M big passage direction has control preferential.
As advanced optimizing for above scheme, there is V less than or equal to 5 when having on 0 current direction in the step 5
When, corresponding jam level is unimpeded;
When having on 2-6 current direction, when there is V less than or equal to 5, corresponding jam level is part congestion;
When having on 7-10 current direction, when there is V less than or equal to 5, corresponding jam level is congestion;
When having on 11-12 current direction, when there is V less than or equal to 5, corresponding jam level is paralysis.
As advanced optimizing for above scheme, described device includes:
First obtains module, for obtaining monitor video data;
Preprocessing module, for monitor video data to be pressed current sequential classification, including 12 kinds of current directions;
Processing module obtains the period for handling the real time monitoring video data in 12 kinds of a cycle current directions
Car flow information on interior 12 kinds current directions;
Second obtains module, for according to the car flow information of upper a cycle and the corresponding relationship of jam level, to monitoring
Center uploads congestion information, and jam level includes: unimpeded, part congestion, congestion, paralysis;
Control module, for adjusting next according to the car flow information of upper a cycle and the corresponding relationship of preset threshold
The transit time in 12 kinds of the period current directions.
As advanced optimizing for above scheme, processing module is also used to extract the vehicle passage speed V that is averaged and is less than or equal to
Video frame when 5, and video frame is sent to the second acquisition module.
Module is obtained as advanced optimizing for above scheme, second, is also used to obtain video frame, and video frame is uploaded
To monitoring center.
A kind of cross control of traffic and road control method and system having automatic regulation function of the invention, has as follows
The utility model has the advantages that
1. a kind of cross control of traffic and road control method for having automatic regulation function of the invention monitors cross in real time
The traffic condition at crossing, and by the car flow information in current directional statistics all directions in upper a cycle, and then make down
The clearance time of a cycle in all directions.
2. a kind of cross control of traffic and road control method for having automatic regulation function of the invention, according to a upper week
Car flow information and preset threshold are carried out logic judgment by the car flow information of phase, according to judging result auto-adjustment control signal, tool
There are very strong reasonability and flexibility.
3. a kind of cross control of traffic and road device of the invention, can obtain real time monitoring video, and according to each side
To monitor video is divided, is classified;Go out the car flow information on different current directions according to classification video analysis;According to the vehicle of acquisition
Stream information calculating ratio pair determines the traffic control of next cycle;Jam level is determined according to car flow information simultaneously, and by video
Frame and congestion information are sent to supervising platform, when there is traffic paralysis, traffic police scene can be sent in time to relieve traffic congestion.
Detailed description of the invention
Fig. 1 is a kind of flow diagram of cross road management method provided in an embodiment of the present invention;
Fig. 2 is a kind of structural schematic diagram of cross road management device provided in an embodiment of the present invention;
Fig. 3 is a kind of cross control of traffic and road control method for having automatic regulation function provided in an embodiment of the present invention
The flow diagram of step step 3 acquisition car flow information;
Fig. 4 is a kind of cross control of traffic and road control method for having automatic regulation function provided in an embodiment of the present invention
The flow diagram of step 4.
Specific embodiment
In order to make the objectives, technical solutions and advantages of the present invention clearer, right below by attached drawing and embodiment
The present invention is further elaborated.However, it should be understood that specific embodiment described herein is only used to explain this hair
Range that is bright, being not intended to restrict the invention.
The present invention provides a kind of technical solution referring to FIG. 1-2: a kind of cross road traffic having automatic regulation function
Management control method includes:
S101, real time monitoring video data is obtained;
Illustratively, the monitor video of crossroad monitoring scene can be collected.
S102, monitor video data are pressed into current sequential classification, including 12 kinds of current directions;
Specifically, the clearance time on each current direction individually obtains video data, and will be regarded according to current direction
Frequency division class.
S103, the real time monitoring video data in 12 kinds of a cycle current directions is handled, obtains leading to for 12 kinds in the period
Car flow information on line direction;
Specifically, individually obtaining video data according to the clearance time on the classification each current direction of video acquisition;?
Set up 4 start-finish lines in crossroad in video data;Extract the vehicle center point of video image;Judge that vehicle center point is passed through
The starting line and finishing line crossed, and determine according to judging result the passage direction of vehicle, it is ensured that the classification video and reality of acquisition
It is identical;Vehicle center point is obtained by the path H of monitoring start-finish line and passes through time T;Obtain video pictures and actual field
Scaling ratio I;Obtain the average speeds V that first car passes through1=I*H/T.
S104, according to the car flow information of upper a cycle and the corresponding relationship of jam level, upload congestion to monitoring center
Information, jam level include: unimpeded, part congestion, congestion, paralysis;
Specifically, when having on 0 current direction, when there is V less than or equal to 5, corresponding jam level is unimpeded;
When having on 2-6 current direction, when there is V less than or equal to 5, corresponding jam level is part congestion;
When having on 7-10 current direction, when there is V less than or equal to 5, corresponding jam level is congestion;
When having on 11-12 current direction, when there is V less than or equal to 5, corresponding jam level is paralysis.
S105, according to the car flow information of upper a cycle and the corresponding relationship of preset threshold, adjust 12 kinds of next cycle
The transit time in current direction;
S106, into after next cycle, the work of step 1 to five is recycled.
Specifically, include within the period passage side upwardly through vehicle fleet size S and a current direction on put
Row time t;Car flow information includes vehicle being averaged in the average speeds V and vehicle unit time on 12 kinds of current directions
Throughput M;
The S vehicle average speeds V=(V1+V2+……+VS)/S
Average throughput M=S/t in the vehicle unit time;
When V is more than or equal to 20, and M is less than or equal to 0.3, shorten the clearance time of next cycle on the passage direction extremely
M=0.5, but t is not less than 20;
When V is less than or equal to 5, and M is less than or equal to 0.2, extend clearance time of next cycle on the passage direction to M
=0.3, but t is not more than 90;
On 12 kinds of current directions, when V is all larger than 5, the time t in each current direction is identical, and t=30;
Vehicle on the right-hand rotation direction at each crossing has not to be limited by passage;
Vehicle and through vehicles on the left-hand rotation direction at each crossing and opposite crossing share a control signal, and compare
Left-hand rotation direction, the left-hand rotation direction in straight trip direction and opposite crossing, direction of keeping straight on the vehicle unit time in average throughput M it is big
Small, M big passage direction has control preferential.
Vehicle center point in video is extracted for each vehicle that crossing is current using illustrated embodiment of the present invention
Out, vehicle movement trajectory simplification is simulated the motion path of vehicle, and binding time at the motion profile of a point, counted
Calculate the average passage speed of vehicle;The quantity that vehicle is passed through according to image recognition technology statistics simultaneously;According to the current speed of draw
Degree and by the quantity of vehicle, obtains car flow information;According to car flow information calculating ratio to the control each passage side of next cycle
The upward clearance time, so that the traffic efficiency of crossroad maximizes.
It compares with the embodiment of the present invention, the embodiment of the invention also provides a kind of cross control of traffic and road device, dresses
It sets and includes:
First obtains module 1101, for obtaining monitor video data;
Preprocessing module 1102, for monitor video data to be pressed current sequential classification, including 12 kinds of current directions;
Processing module 1103 is somebody's turn to do for handling the real time monitoring video data in 12 kinds of a cycle current directions
Car flow information in period on 12 kinds of current directions;
Control module 1105, for according to the car flow information of upper a cycle and the corresponding relationship of preset threshold, under adjustment
The transit time in 12 kinds of a cycle current directions;
Second obtains module 1104, for according to the car flow information of upper a cycle and the corresponding relationship of jam level, to
Monitoring center uploads congestion information, and jam level includes: unimpeded, part congestion, congestion, paralysis.
Vehicle center point in video is extracted for each vehicle that crossing is current using illustrated embodiment of the present invention
Out, vehicle movement trajectory simplification is simulated the motion path of vehicle, and binding time at the motion profile of a point, counted
Calculate the average passage speed of vehicle;The quantity that vehicle is passed through according to image recognition technology statistics simultaneously;According to the current speed of draw
Degree and by the quantity of vehicle, obtains car flow information;According to car flow information calculating ratio to the control each passage side of next cycle
The upward clearance time, so that the traffic efficiency of crossroad maximizes.
Wherein processing module 1103 are also used to extract video frame when vehicle is averaged passage speed V less than or equal to 5, and will
Video frame is sent to the second acquisition module 1104.
Wherein second module 1104 is obtained, is also used to obtain video frame, and video frame is uploaded to monitoring center.
When average speeds V is less than or equal to 5, car flow information and video frame are uploaded to monitoring center, video frame
Volume of transmitted data is small, and transmission speed is fast, and car flow information combination video frame enables the supervisor of monitoring center intuitively to feel
By the jam situation of road, when traffic paralyses, traffic police can be sent to go to processing in time.
Only presently preferred embodiments of the present invention is not intended to limit the invention, all in the spirit and principles in the present invention
Within made any modification, equivalent replacement or improvement etc., should all be included in the protection scope of the present invention.
Claims (9)
1. a kind of cross control of traffic and road control method for having automatic regulation function, which is characterized in that the described method includes:
Step 1: obtaining real time monitoring video data;
Step 2: monitor video data are pressed current sequential classification;
Step 3: the real time monitoring video data of a cycle is handled, the car flow information in the period is obtained;
Step 4: uploading congestion letter to monitoring center according to the corresponding relationship of the car flow information of upper a cycle and jam level
Breath, the jam level includes: unimpeded, part congestion, congestion, paralysis;
Step 5: adjusting next cycle, passage side according to the corresponding relationship of the car flow information of upper a cycle and preset threshold
To transit time;
Step 6: the work of step 1 to five is recycled into after next cycle.
2. a kind of cross control of traffic and road control method for having automatic regulation function according to claim 1, special
Sign is: the step 2, and including the period according to current direction, monitor video is categorized into 12 kinds of current directions.
3. a kind of cross control of traffic and road control method for having automatic regulation function according to claim 1, special
Sign is: the step 3, including sets up 4 start-finish lines at the parting of the ways;Extract the vehicle center point of video image;Judge vehicle
The starting line and finishing line that central point is passed through, and determine according to judging result the passage direction of vehicle.
4. a kind of cross control of traffic and road control method for having automatic regulation function according to claim 1, special
Sign is: the step 3, further includes obtaining vehicle center point by the path H of monitoring start-finish line and by time T;Obtain view
Frequency picture and the scaling of actual field ratio I;Obtain the average speeds V that first car passes through1=I*H/T.
5. a kind of cross control of traffic and road control method for having automatic regulation function according to claim 1, special
Sign is: the step 4, including within the period passage side upwardly through vehicle fleet size S and a current direction on
Let pass time t;The car flow information includes vehicle in the average speeds V and vehicle unit time on 12 kinds of current directions
Average throughput M;
The S vehicle average speeds V=(V1+V2+……+VS)/S
Average throughput M=S/t in the vehicle unit time;
When V is more than or equal to 20, and M is less than or equal to 0.3, shorten clearance time of next cycle on the passage direction to M=
0.5, but t is not less than 20;
When V is less than or equal to 5, and M is less than or equal to 0.2, extend clearance time of next cycle on the passage direction to M=
0.3, but t is not more than 90;
On 12 kinds of current directions, when V is all larger than 5, the time t in each current direction is identical, and t=30;
Vehicle on the right-hand rotation direction at each crossing has not to be limited by passage;
Vehicle and through vehicles on the left-hand rotation direction at each crossing and opposite crossing share a control signal, and compare left-hand rotation
Direction, the left-hand rotation direction in straight trip direction and opposite crossing, direction of keeping straight on the vehicle unit time in average throughput M size, M
Big passage direction has control preferential.
6. a kind of cross control of traffic and road control method for having automatic regulation function according to claim 1, special
Sign is: the step 5, and when having on 0 current direction, when there is V less than or equal to 5, corresponding jam level is unimpeded;
When having on 2-6 current direction, when there is V less than or equal to 5, corresponding jam level is part congestion;
When having on 7-10 current direction, when there is V less than or equal to 5, corresponding jam level is congestion;
When having on 11-12 current direction, when there is V less than or equal to 5, corresponding jam level is paralysis.
7. a kind of cross control of traffic and road control system for having automatic regulation function according to claim 1, special
Sign is: described device includes:
First obtains module, for obtaining monitor video data;
Preprocessing module, for monitor video data to be pressed current sequential classification, including 12 kinds of current directions;
Processing module obtains 12 in the period for handling the real time monitoring video data in 12 kinds of a cycle current directions
Car flow information on the current direction of kind;
Second obtains module, for according to the car flow information of upper a cycle and the corresponding relationship of jam level, to monitoring center
Congestion information is uploaded, the jam level includes: unimpeded, part congestion, congestion, paralysis;
Control module, for adjusting next cycle according to the car flow information of upper a cycle and the corresponding relationship of preset threshold
The transit time in 12 kinds of current directions.
8. a kind of cross control of traffic and road control system for having automatic regulation function according to claim 7, special
Sign is: the processing module, is also used to extract video frame when vehicle is averaged passage speed V less than or equal to 5, and by video frame
It is sent to the second acquisition module.
9. a kind of cross control of traffic and road control system for having automatic regulation function according to claim 7, special
Sign is: described second obtains module, is also used to obtain video frame, and video frame is uploaded to monitoring center.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910085199.5A CN109712413B (en) | 2019-01-29 | 2019-01-29 | Cross road traffic management control method and system with automatic adjustment function |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910085199.5A CN109712413B (en) | 2019-01-29 | 2019-01-29 | Cross road traffic management control method and system with automatic adjustment function |
Publications (2)
Publication Number | Publication Date |
---|---|
CN109712413A true CN109712413A (en) | 2019-05-03 |
CN109712413B CN109712413B (en) | 2021-06-25 |
Family
ID=66263221
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201910085199.5A Active CN109712413B (en) | 2019-01-29 | 2019-01-29 | Cross road traffic management control method and system with automatic adjustment function |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN109712413B (en) |
Citations (23)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO1996036032A1 (en) * | 1995-05-08 | 1996-11-14 | Young Il Jeon | Automatic control system for road traffic signals |
CN101042805A (en) * | 2007-03-09 | 2007-09-26 | 吉林大学 | Control method for single crossing mixed traffic signal |
CN101256081A (en) * | 2007-03-02 | 2008-09-03 | 德信无线通讯科技(北京)有限公司 | Intelligent guidance system |
CN101409016A (en) * | 2008-02-01 | 2009-04-15 | 浙江通衢数码科技有限公司 | Control method for urban road traffic |
US20090167562A1 (en) * | 2007-12-26 | 2009-07-02 | Aochengtongli S&T Development ( Beijing ) Co., Ltd | Traffic light control system for a high flow intersection |
CN101710449A (en) * | 2009-12-04 | 2010-05-19 | 吉林大学 | Traffic flow running rate recognizing method based on bus GPS data |
US20130287261A1 (en) * | 2012-04-25 | 2013-10-31 | Hon Hai Precision Industry Co., Ltd. | Electronic device and method for managing traffic flow |
KR101333498B1 (en) * | 2012-08-24 | 2013-11-28 | 서울시립대학교 산학협력단 | Traffic signal control algorithm on isolated intersection based on tarvel time |
CN104732779A (en) * | 2015-03-29 | 2015-06-24 | 安徽科力信息产业有限责任公司 | Traffic congestion dispersion method based on traffic signal controller and video monitoring linkage |
US20150218760A1 (en) * | 2014-02-03 | 2015-08-06 | Robert Showers Carney, JR. | Transit cloverleaf and freeway/cloverleaf system |
CN105006158A (en) * | 2015-06-25 | 2015-10-28 | 广东工业大学 | Single road intersection traffic signal control method based on real-time traffic information |
CN204904585U (en) * | 2015-08-03 | 2015-12-23 | 兰州市公安局交通警察支队交通科研所 | High definition video all -in -one, traffic signal system and because traffic signals control system of vision sensing |
CN105427633A (en) * | 2015-12-30 | 2016-03-23 | 桂林市逸仙中学 | Intelligent traffic light control system |
CN105513378A (en) * | 2015-12-21 | 2016-04-20 | 宇龙计算机通信科技(深圳)有限公司 | Vehicle networking method, vehicle networking device and vehicle networking system |
CN106384517A (en) * | 2015-08-03 | 2017-02-08 | 兰州市公安局交通警察支队交通科研所 | Traffic signal control method based on visual sensing, apparatus and system thereof |
CN106504547A (en) * | 2016-11-18 | 2017-03-15 | 赵元征 | A kind of primary and secondary traffic light intersection of four by-pass normal open of opposite bilateral time crossing commutation |
CN106530762A (en) * | 2016-12-26 | 2017-03-22 | 东软集团股份有限公司 | Traffic signal control method and device |
US9830813B2 (en) * | 2013-06-18 | 2017-11-28 | Carnegie Mellon University, A Pennsylvania Non-Profit Corporation | Smart and scalable urban signal networks: methods and systems for adaptive traffic signal control |
CN108133602A (en) * | 2017-11-17 | 2018-06-08 | 北京华道兴科技有限公司 | A kind of urban traffic signal control method and device |
CN108180919A (en) * | 2017-12-12 | 2018-06-19 | 沈阳美行科技有限公司 | A kind of optimization method and device of programme path |
US10043385B2 (en) * | 2016-06-06 | 2018-08-07 | United States Cellular Corporation | Configuring traffic control device switch timing intervals using mobile wireless device-provided traffic information |
CN108389403A (en) * | 2018-04-23 | 2018-08-10 | 白冰 | The traffic lights and speed(-)limit sign intelligent adjusting method captured based on vehicle flowrate |
EP3425608A1 (en) * | 2017-07-03 | 2019-01-09 | Fujitsu Limited | Traffic signal control using multiple q-learning categories |
-
2019
- 2019-01-29 CN CN201910085199.5A patent/CN109712413B/en active Active
Patent Citations (23)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO1996036032A1 (en) * | 1995-05-08 | 1996-11-14 | Young Il Jeon | Automatic control system for road traffic signals |
CN101256081A (en) * | 2007-03-02 | 2008-09-03 | 德信无线通讯科技(北京)有限公司 | Intelligent guidance system |
CN101042805A (en) * | 2007-03-09 | 2007-09-26 | 吉林大学 | Control method for single crossing mixed traffic signal |
US20090167562A1 (en) * | 2007-12-26 | 2009-07-02 | Aochengtongli S&T Development ( Beijing ) Co., Ltd | Traffic light control system for a high flow intersection |
CN101409016A (en) * | 2008-02-01 | 2009-04-15 | 浙江通衢数码科技有限公司 | Control method for urban road traffic |
CN101710449A (en) * | 2009-12-04 | 2010-05-19 | 吉林大学 | Traffic flow running rate recognizing method based on bus GPS data |
US20130287261A1 (en) * | 2012-04-25 | 2013-10-31 | Hon Hai Precision Industry Co., Ltd. | Electronic device and method for managing traffic flow |
KR101333498B1 (en) * | 2012-08-24 | 2013-11-28 | 서울시립대학교 산학협력단 | Traffic signal control algorithm on isolated intersection based on tarvel time |
US9830813B2 (en) * | 2013-06-18 | 2017-11-28 | Carnegie Mellon University, A Pennsylvania Non-Profit Corporation | Smart and scalable urban signal networks: methods and systems for adaptive traffic signal control |
US20150218760A1 (en) * | 2014-02-03 | 2015-08-06 | Robert Showers Carney, JR. | Transit cloverleaf and freeway/cloverleaf system |
CN104732779A (en) * | 2015-03-29 | 2015-06-24 | 安徽科力信息产业有限责任公司 | Traffic congestion dispersion method based on traffic signal controller and video monitoring linkage |
CN105006158A (en) * | 2015-06-25 | 2015-10-28 | 广东工业大学 | Single road intersection traffic signal control method based on real-time traffic information |
CN106384517A (en) * | 2015-08-03 | 2017-02-08 | 兰州市公安局交通警察支队交通科研所 | Traffic signal control method based on visual sensing, apparatus and system thereof |
CN204904585U (en) * | 2015-08-03 | 2015-12-23 | 兰州市公安局交通警察支队交通科研所 | High definition video all -in -one, traffic signal system and because traffic signals control system of vision sensing |
CN105513378A (en) * | 2015-12-21 | 2016-04-20 | 宇龙计算机通信科技(深圳)有限公司 | Vehicle networking method, vehicle networking device and vehicle networking system |
CN105427633A (en) * | 2015-12-30 | 2016-03-23 | 桂林市逸仙中学 | Intelligent traffic light control system |
US10043385B2 (en) * | 2016-06-06 | 2018-08-07 | United States Cellular Corporation | Configuring traffic control device switch timing intervals using mobile wireless device-provided traffic information |
CN106504547A (en) * | 2016-11-18 | 2017-03-15 | 赵元征 | A kind of primary and secondary traffic light intersection of four by-pass normal open of opposite bilateral time crossing commutation |
CN106530762A (en) * | 2016-12-26 | 2017-03-22 | 东软集团股份有限公司 | Traffic signal control method and device |
EP3425608A1 (en) * | 2017-07-03 | 2019-01-09 | Fujitsu Limited | Traffic signal control using multiple q-learning categories |
CN108133602A (en) * | 2017-11-17 | 2018-06-08 | 北京华道兴科技有限公司 | A kind of urban traffic signal control method and device |
CN108180919A (en) * | 2017-12-12 | 2018-06-19 | 沈阳美行科技有限公司 | A kind of optimization method and device of programme path |
CN108389403A (en) * | 2018-04-23 | 2018-08-10 | 白冰 | The traffic lights and speed(-)limit sign intelligent adjusting method captured based on vehicle flowrate |
Non-Patent Citations (2)
Title |
---|
刘抗修: "关于多相位渠化路口", 《中国市政工程》 * |
吴琰飘 等: "基于矩形法的交通拥堵传播模型研究", 《城市交通》 * |
Also Published As
Publication number | Publication date |
---|---|
CN109712413B (en) | 2021-06-25 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN110570658B (en) | Method for identifying and analyzing abnormal vehicle track at intersection based on hierarchical clustering | |
WO2021077760A1 (en) | Abnormal driving early warning method on basis of reasonable driving range of vehicle at intersection | |
CN112435473B (en) | Expressway traffic flow tracing and ramp regulating method combined with historical data | |
CN108510758B (en) | Urban expressway entrance ramp signal control method based on video real-time information | |
CN108510762B (en) | Optimal control method for intelligent signal lamp in multi-line intersection area of expressway | |
CN105336169B (en) | A kind of method and system that traffic congestion is judged based on video | |
CN108417057A (en) | A kind of intelligent signal lamp timing system | |
CN205665896U (en) | Intersection signal lamp state recognition device | |
CN109767630A (en) | A kind of traffic signal control system based on bus or train route collaboration | |
WO2019047905A1 (en) | Road traffic analysis system, method and apparatus | |
CN108564786A (en) | A kind of method and system of the urban traffic signal control based on cloud computing | |
CN111341095B (en) | Traffic signal control system and method based on edge side online calculation | |
CN208689753U (en) | Optimization-type intelligent traffic lamp regulator control system | |
CN104658279B (en) | Real-time optimization signal control method and system based on video traffic state monitoring | |
US10699568B1 (en) | Video-based crossroad signal machine control method | |
CN109544934A (en) | Efficiency safety monitoring system based on urban intersection mixed traffic flow three-dimensional track | |
CN109191871A (en) | A kind of controlling system of traffic light | |
CN104464290A (en) | Road traffic parameter collecting and rule violation snapshot system based on embedded double-core chip | |
CN113192345A (en) | Traffic light intelligent regulation and control system for crossroad | |
CN101877171A (en) | Taxi get-in station three-dimensional intelligent transportation system for large traffic hinge | |
CN109697867A (en) | A kind of traffic control method and system based on deep learning | |
CN115206115B (en) | Road network congestion area control method based on multi-source data edge calculation in intelligent networking environment | |
CN208781404U (en) | A kind of traffic light control system | |
CN115687709A (en) | Traffic dynamic control method based on traffic data dimension reduction reconstruction and multidimensional analysis | |
CN114822055A (en) | Intelligent traffic road cooperation system based on machine vision detection |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |