CN110766958B - Intelligent control system for traffic signal lamp - Google Patents
Intelligent control system for traffic signal lamp Download PDFInfo
- Publication number
- CN110766958B CN110766958B CN201911228036.4A CN201911228036A CN110766958B CN 110766958 B CN110766958 B CN 110766958B CN 201911228036 A CN201911228036 A CN 201911228036A CN 110766958 B CN110766958 B CN 110766958B
- Authority
- CN
- China
- Prior art keywords
- intersection
- road
- traffic
- duration
- signal lamp
- 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.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/095—Traffic lights
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/07—Controlling traffic signals
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B20/00—Energy efficient lighting technologies, e.g. halogen lamps or gas discharge lamps
- Y02B20/40—Control techniques providing energy savings, e.g. smart controller or presence detection
Abstract
The invention provides an intelligent control system of traffic signal lamps, which comprises a first sensing system of a first intersection, a cloud end and a second signal lamp of a second intersection, wherein the first sensing system monitors vehicles passing in a first direction at the first intersection, and transmits first vehicle data and first passing duration of the first intersection allowed in the first direction to the cloud end; the cloud processes the data and then sends out allowed traffic parameters in the first direction to a second signal lamp of a second intersection; the allowed passage parameter satisfies: t2=t1+tx1+t12, T2 is a start point of the second signal lamp allowing traffic in the first direction, T1 is a first intersection allowing traffic start point, tx1 is a first traffic duration, and T12 is a travel duration between the first intersection and the second intersection in the first direction. The traffic signal lamp is adjusted in real time, the green light traffic duration of the congested road section is improved, the green light traffic duration of the smooth road section is reduced, and the technical effect of efficient continuous traffic is achieved in the peak period.
Description
Technical Field
The invention relates to an intelligent control method and system for traffic lights, in particular to an intelligent video image processing technology, which utilizes an algorithm to calculate the number of vehicles at each intersection and intelligently mobilizes the signal lights to realize rapid traffic of the vehicles.
Background
At present, in the centers of large and medium-sized cities and cities in the middle and western countries in China, the quantity of vehicles borne by roads in peak time is saturated, particularly in peak time of going to work and off duty every day, the problem of vehicle congestion is serious, the passing time of a single intersection exceeds 30 minutes in extreme cases, the time is wasted greatly, and local air pollution is easy to cause.
The reasons for road congestion are many, firstly, road planning is unreasonable, and a main road network is taken as a main road network, and a capillary road traffic network is lacked; another major reason is that the road signal lamp is not normally set, the capability of dredging traffic according to the signal lamp is low, the work flow and the rhythm of the traffic signal lamp system are unchanged in 24 days, timely adjustment cannot be performed according to the real-time traffic state, the blocked road is blocked, long-time green light signals distributed to smooth roads are wasted, a signal lamp of hundreds of meters, a vehicle just waits for a red light, and the red light is tens of seconds when reaching the next intersection, so that the traffic signal lamp system is repeatedly used, large-scale tidal traffic cannot be formed, and high-probability and high-efficiency continuous traffic cannot be formed.
Therefore, how to adjust the traffic signal lamp in real time, improve the green light passing time of the congested road section, reduce the green light passing time of the smooth road section, and achieve efficient and continuous passing in the peak period becomes a urgent problem for urban governors.
Disclosure of Invention
The invention provides an intelligent control method and system for traffic signal lamps, which utilize a road high-definition camera to acquire data and calculate the data so as to control the traffic signal lamps. The traffic signal lamp is adjusted in real time, the green light traffic duration of the congested road section is improved, the green light traffic duration of the smooth road section is reduced, and the technical effect of efficient continuous traffic is achieved in the peak period.
The invention provides an intelligent control method of a traffic signal lamp, which comprises the following steps:
step 100: monitoring vehicles passing in a first direction at a first road port, and transmitting first vehicle data and first passing duration allowed by the first road port in the first direction to a cloud;
step 200: the cloud processes the data and then sends out allowed traffic parameters in the first direction to a second signal lamp of a second intersection;
the allowed passage parameter satisfies:
T2＝T1+tx1+t12
t2 is a start time of allowing the second signal lamp to pass in the first direction, T1 is a first intersection allowing start time, tx1 is a first pass duration, and T12 is a travel duration between the first intersection and the second intersection in the first direction.
Preferably, step 100 further includes: monitoring vehicles passing in a second direction at a first road port, and transmitting second vehicle data and a second passing duration allowed by the first road port in the second direction to a cloud;
tx1 satisfies: (nfxg+mfxb)/tx1=p (kfyg+hfyb)/ty 1
Wherein: n+m=1, k+h=1; p is a road coefficient representing a road-vehicle load ratio of the first intersection in the first direction and the second direction; ty1 is a second pass duration; FXG the number of vehicles traveling in the forward direction at the first port, and FXB the number of vehicles traveling in the reverse direction at the first port; FYG is the number of vehicles that the first road junction is traveling forward in the second direction, and FYB is the number of vehicles that the first road junction is traveling backward in the second direction.
Preferably, t12 is the time required to pass a road segment between the first intersection and the second intersection at a speed Vmax, which is the highest speed limit for the road segment.
Preferably, t12 is the time required to pass a road segment between the first intersection and the second intersection at a speed of 0.5Vmax to 0.9Vmax, vmax being the highest speed limit of the road segment.
Preferably, t12 is the time required to pass a road segment between a first intersection and a second intersection at a speed of 0.8Vmax, vmax being the highest speed limit for that road segment.
Preferably, the range of n, m, k, h is 0.2 to 0.8.
Preferably, n, m, k, h is 0.5.
Preferably, p ranges from 1/36 to 36.
Preferably, p ranges from 1/12 to 12.
Preferably, p ranges from 1/4 to 4.
The intelligent control system of the traffic signal lamp comprises a first sensing system of a first intersection, a cloud end and a second signal lamp of a second intersection, and is characterized in that,
the first sensing system monitors vehicles passing in a first direction at a first road port, and transmits first vehicle data and first passing duration allowed by the first road port in the first direction to the cloud;
the cloud processes the data and then sends out allowed traffic parameters in the first direction to a second signal lamp of a second intersection; the allowed passage parameter satisfies:
T2＝T1+tx1+t12
t2 is a start time of allowing the second signal lamp to pass in the first direction, T1 is a first intersection allowing start time, tx1 is a first pass duration, and T12 is a travel duration between the first intersection and the second intersection in the first direction.
Preferably, the first sensing system monitors the vehicles passing in the second direction at the first road port, and transmits second vehicle data and a second passing duration allowed by the first road port in the second direction to the cloud;
tx1 satisfies: (nfxg+mfxb)/tx1=p (kfyg+hfyb)/ty 1
Wherein: n+m=1, k+h=1; p is a road coefficient representing a road-vehicle load ratio of the first intersection in the first direction and the second direction; ty1 is a second pass duration; FXG the number of vehicles traveling in the forward direction at the first port, and FXB the number of vehicles traveling in the reverse direction at the first port; FYG is the number of vehicles that the first road junction is traveling forward in the second direction, and FYB is the number of vehicles that the first road junction is traveling backward in the second direction.
Preferably, the first sensing system is a camera system; the first sensing system includes;
monitoring a first forward camera and a first reverse camera in the forward direction in the first direction;
and monitoring a second positive camera in the positive direction and a second negative camera in the negative direction in the second direction.
Preferably, t12 is the time required to pass a road segment between the first intersection and the second intersection at a speed Vmax, which is the highest speed limit for the road segment.
Preferably, t12 is the time required to pass a road segment between the first intersection and the second intersection at a speed of 0.5Vmax to 0.9Vmax, vmax being the highest speed limit of the road segment.
Preferably, t12 is the time required to pass a road segment between a first intersection and a second intersection at a speed of 0.8Vmax, vmax being the highest speed limit for that road segment.
Preferably, the range of n, m, k, h is 0.2 to 0.8.
Preferably, n, m, k, h is 0.5.
Preferably, p ranges from 1/36 to 36.
Preferably, p ranges from 1/4 to 4.
The invention provides an intelligent control method and system for traffic signal lamps, which utilize a road high-definition camera to acquire data and calculate the data so as to control the traffic signal lamps. The traffic signal lamp is adjusted in real time, the green light traffic duration of the congested road section is improved, the green light traffic duration of the smooth road section is reduced, and the technical effect of efficient continuous traffic is achieved in the peak period.
Drawings
FIG. 1 is a schematic diagram of an intelligent control system for traffic lights of the present invention;
FIG. 2 is a flow chart of the intelligent control method of the traffic signal lamp.
Detailed Description
The following describes in detail the specific embodiments of the traffic signal lamp intelligent control method and the system thereof provided by the invention with reference to the accompanying drawings.
In the drawings, dimensional proportions of layers and regions are not true proportions for convenience of description. When a layer (or film) is referred to as being "on" another layer or substrate, it can be directly on the other layer or substrate, or intervening layers may also be present. Furthermore, when a layer is referred to as being "under" another layer, it can be directly under, and one or more intervening layers may also be present. In addition, when a layer is referred to as being between two layers, it may be the only layer between the two layers, or one or more intervening layers may also be present. Like numbers refer to like elements throughout. In addition, when two components are referred to as being "connected," it is intended to include physical connection, unless the specification expressly defines otherwise, such physical connection includes, but is not limited to, electrical connection, contact connection, wireless signal connection.
In order to realize real-time adjustment of traffic signal lamps, the green light traffic duration of a congested road section is improved, the green light traffic duration of a smooth road section is reduced, and efficient continuous traffic is achieved in a peak period.
The applicant provides an intelligent control method of a traffic signal lamp, as shown in fig. 1-2, comprising the following steps:
step 100: monitoring vehicles passing in a first direction X at a first road port, and transmitting first vehicle data and a first passing duration allowed by the first road port in the first direction X to a cloud;
step 200: the cloud end 2 processes the data and then sends the allowed passing parameters in the first direction X to a second signal lamp of a second intersection;
the allowed passage parameter satisfies:
T2＝T1+tx1+t12
t2 is the starting point of the second signal lamp allowing traffic in the first direction X; t1 is a first intersection permission start time; tx1 is a first traffic duration, such as a green light traffic duration of signal lights 11 and 12; and t12 is the driving time length between the first intersection and the second intersection in the first direction X, and has the advantages of real-time monitoring of road and vehicle conditions on a sensing system, real-time adjustment of traffic signal lamps, improvement of the green light passing time length of a congested road section and high-efficiency continuous passing in a peak period.
In practical experiments, tx1 is only used for traffic in the first direction X, and traffic in the second direction Y needs to be considered, otherwise blocking is caused.
In this embodiment, step 100 further includes: monitoring vehicles passing in a second direction Y at a first road port, and transmitting second vehicle data and a second passing duration allowed by the first road port in the second direction Y to a cloud end 2;
tx1 satisfies: (nfxg+mfxb)/tx1=p (kfyg+hfyb)/ty 1
Wherein: n+m=1, k+h=1; p is a road coefficient representing the road-vehicle load ratio of the first intersection in the first direction and the second direction Y; ty1 is a second traffic duration, such as green durations of the signal lights 13 and 14; FXG is the number of vehicles that the first road junction is traveling in the first direction X, monitored by the sensing device 12; FXB is the number of vehicles traveling in the first direction X in the reverse direction of the first road, monitored by the sensing device 11; FYG is the number of vehicles that the first road junction is traveling forward in the second direction Y, monitored by the sensing device 13; FYB is the number of vehicles traveling in the reverse direction of the second direction Y at the first road junction and is monitored by the sensing device 14. The traffic signal lamp is adjusted in real time by monitoring the number of vehicles on the road in real time and adjusting the parameters n, m, k, h, so that the green light traffic duration of the congested road section is improved, and the high-efficiency continuous traffic is achieved in the peak period.
For example, if the sensing device 12 monitors more vehicles and the sensing device 11 monitors fewer vehicles, the n, m size can be determined in real time according to the positive proportion of the accurate number of vehicles, or the n, m size can be determined in the next equal time or in one hour according to a period of time, such as 5 minutes and 10 minutes, so as to adjust the traffic signal lamps 32 and 31 in real time, improve the green light passing duration of the congested road section, and achieve efficient continuous passing in the peak period. For another example, if the sensing device 13 monitors more vehicles and the sensing device 14 monitors fewer vehicles, the k and h sizes can be determined in real time according to the positive proportion of the accurate number of vehicles, and the k and h sizes in the next equal time or in one hour can be determined according to a period of time, such as 5 minutes and 10 minutes, so as to adjust the traffic signal lamps 33 and 34 in real time, and traffic conditions on all the intersections are considered through the traffic disk, so that the green light traffic duration of the congested road section is improved, and the high-efficiency continuous traffic is achieved in the peak period.
The applicant confirmed that the range of n, m, k, h was 0.2 to 0.8 by observation of a large amount of data.
Preferably, n, m, k, h is 0.5.
In the actual road situation, not all the crossing roads have the same vehicle load number, for example, the bidirectional 8-road is obviously more than the bidirectional 2-road vehicle load number, more vehicles pass through in the road unit time with more yielding roads, and the trunk road coefficient p needs to be adjusted.
According to the actual road condition and considering a single-way road, the range of p is 1/36-36.
Preferably, p ranges from 1/12 to 12.
Preferably, p ranges from 1/4 to 4, such as 0.25, 0.5, 1, 2, 4.
The driving time t12 required by the distance between intersections is also a factor to be considered, and according to the normal driving habit of the driver and the urban traffic speed limit rule, the following t12 can be determined:
in this embodiment, t12 is the time required for passing the road segment between the first intersection and the second intersection at the speed Vmax, vmax is the highest speed limit of the road segment, and as shown in fig. 1, on the road with the speed limit 50, vmax is 50 km/h, and t12 can be obtained by simple calculation.
Preferably, not all drivers will drive at the top speed, and the probability is lower than the speed limit, and careful driving is performed, in which case t12 is the time required for passing the road section between the first intersection and the second intersection at the speed of 0.5 Vmax-0.9 Vmax, vmax is the highest speed limit of the road section, as shown in fig. 1, on the road with the speed limit 50, 0.5 Vmax-0.9 Vmax is 25-45 km/h, and t12 can be obtained through simple calculation.
Preferably, through observation and n-too-distributed statistics, most drivers will drive at 80% of the speed limit, t12 is the time required for passing the road segment between the first intersection and the second intersection at a speed of 0.8Vmax, vmax is the highest speed limit of the road segment, as shown in fig. 1, on the road with the speed limit 50, 0.8Vmax is 40 km/h, and t12 can be obtained through simple calculation.
In order to simplify the intelligent control method, the traffic light permission duration of the first intersection and the traffic light permission duration of the second intersection in the first direction X are equal.
The applicant also provides an intelligent control system for traffic lights comprising a first sensing system for a first intersection, a cloud 2 and a second signal light (not shown) for a second intersection, characterized in that,
the first sensing system monitors vehicles passing in a first direction X at a first road port, and transmits first vehicle data and first passing duration allowed by the first road port in the first direction X to the cloud end 2;
the cloud end 2 processes the data and then sends the allowed passing parameters in the first direction X to a second signal lamp of a second intersection; the allowed passage parameter satisfies:
T2＝T1+tx1+t12
t2 is the starting point of allowing traffic of a second signal lamp (not shown) in the first direction X, T1 is the starting point of allowing traffic of a first intersection, tx1 is the first traffic duration, and T12 is the driving duration between the first intersection and the second intersection in the first direction X.
In practical experiments, tx1 is only used for traffic in the first direction X, and traffic in the second direction Y needs to be considered, otherwise blocking is caused.
In this embodiment, the first sensing system monitors vehicles moving in a second direction Y at a first intersection, and transmits second vehicle data and a second passing duration allowed by the first intersection in the second direction Y to a cloud;
tx1 satisfies: (nfxg+mfxb)/tx1=p (kfyg+hfyb)/ty 1
Wherein: n+m=1, k+h=1; p is a road coefficient representing a road-vehicle load ratio of the first intersection in the first direction X and the second direction Y; ty1 is a second traffic duration, such as green durations of the signal lights 13 and 14; FXG is the number of vehicles that the first road junction is traveling in the first direction X, monitored by the sensing device 12; FXB is the number of vehicles traveling in the first direction X in the reverse direction of the first road, monitored by the sensing device 11; FYG is the number of vehicles that the first road junction is traveling forward in the second direction Y, monitored by the sensing device 13; FYB is the number of vehicles traveling in the reverse direction of the second direction Y at the first road junction and is monitored by the sensing device 14. The traffic signal lamp is adjusted in real time by monitoring the number of vehicles on the road in real time and adjusting the parameters n, m, k, h, so that the green light traffic duration of the congested road section is improved, and the high-efficiency continuous traffic is achieved in the peak period.
For example, if the sensing device 12 monitors more vehicles and the sensing device 11 monitors fewer vehicles, the n, m size can be determined in real time according to the positive proportion of the accurate number of vehicles, or the n, m size can be determined in the next equal time or in one hour according to a period of time, such as 5 minutes and 10 minutes, so as to adjust the traffic signal lamps 32 and 31 in real time, improve the green light passing duration of the congested road section, and achieve efficient continuous passing in the peak period. For another example, if the sensing device 13 monitors more vehicles and the sensing device 14 monitors fewer vehicles, the k and h sizes can be determined in real time according to the positive proportion of the accurate number of vehicles, and the k and h sizes in the next equal time or in one hour can be determined according to a period of time, such as 5 minutes and 10 minutes, so as to adjust the traffic signal lamps 33 and 34 in real time, and traffic conditions on all the intersections are considered through the traffic disk, so that the green light traffic duration of the congested road section is improved, and the high-efficiency continuous traffic is achieved in the peak period.
The applicant confirmed that the range of n, m, k, h was 0.2 to 0.8 by observation of a large amount of data.
Preferably, n, m, k, h is 0.5..
In this embodiment, the first sensing system is a camera system; the first sensing system includes;
as shown in fig. 1, a first forward camera 11 and a first backward camera 12 in the forward direction and the reverse direction of the first direction X are monitored; the second forward camera 14 and the second reverse camera 13 in the second direction Y forward and reverse are monitored.
In the actual road situation, not all the crossing roads have the same vehicle load number, for example, the bidirectional 8-road is obviously more than the bidirectional 2-road vehicle load number, more vehicles pass through in the road unit time with more yielding roads, and the trunk road coefficient p needs to be adjusted.
According to the actual road condition and considering a single-way road, the range of p is 1/36-36.
Preferably, p ranges from 1/12 to 12.
Preferably, p ranges from 1/4 to 4, such as 0.25, 0.5, 1, 2, 4.
The driving time t12 required by the distance between intersections is also a factor to be considered, and according to the normal driving habit of the driver and the urban traffic speed limit rule, the following t12 can be determined:
in this embodiment, t12 is the time required for passing the road segment between the first intersection and the second intersection at the speed Vmax, vmax is the highest speed limit of the road segment, and as shown in fig. 1, on the road with the speed limit 50, vmax is 50 km/h, and t12 can be obtained by simple calculation.
Preferably, not all drivers will drive at the top speed, and the probability is lower than the speed limit, and careful driving is performed, in which case t12 is the time required for passing the road section between the first intersection and the second intersection at the speed of 0.5 Vmax-0.9 Vmax, vmax is the highest speed limit of the road section, as shown in fig. 1, on the road with the speed limit 50, 0.5 Vmax-0.9 Vmax is 25-45 km/h, and t12 can be obtained through simple calculation.
Preferably, through observation and n-too-distributed statistics, most drivers will drive at 80% of the speed limit, t12 is the time required for passing the road segment between the first intersection and the second intersection at a speed of 0.8Vmax, vmax is the highest speed limit of the road segment, as shown in fig. 1, on the road with the speed limit 50, 0.8Vmax is 40 km/h, and t12 can be obtained through simple calculation.
The invention provides an intelligent control method and system for traffic signal lamps, which utilize a road high-definition camera to acquire data and calculate the data so as to control the traffic signal lamps. The traffic signal lamp is adjusted in real time, the green light traffic duration of the congested road section is improved, the green light traffic duration of the smooth road section is reduced, and the technical effect of efficient continuous traffic is achieved in the peak period.
The foregoing is merely a preferred embodiment of the present invention and it should be noted that modifications and adaptations to those skilled in the art may be made without departing from the principles of the present invention, which are intended to be comprehended within the scope of the present invention.
Claims (9)
1. An intelligent control system of traffic signal lamp comprises a first sensing system of a first intersection, a cloud end and a second signal lamp of a second intersection, which is characterized in that,
the first sensing system monitors vehicles passing in a first direction at a first road port, and transmits first vehicle data and first passing duration allowed by the first road port in the first direction to the cloud;
the cloud processes the data and then sends out allowed traffic parameters in the first direction to a second signal lamp of a second intersection; the allowed passage parameter satisfies:
T2=T1+tx1+t12
t2 is a start time of allowing the second signal lamp to pass in the first direction, T1 is a first intersection allowing start time, tx1 is a first pass duration, and T12 is a travel duration between the first intersection and the second intersection in the first direction;
the first sensing system monitors vehicles passing in a second direction at a first road port, and transmits second vehicle data and second passing duration allowed by the first road port in the second direction to a cloud;
tx1 satisfies: (nfxg+mfxb)/tx1=p (kfyg+hfyb)/ty 1
Wherein: n+m=1, k+h=1; p is a road coefficient representing a road-vehicle load ratio of the first intersection in the first direction and the second direction; ty1 is a second pass duration; FXG the number of vehicles traveling in the forward direction at the first port, and FXB the number of vehicles traveling in the reverse direction at the first port; FYG is the number of vehicles traveling forward in the second direction at the first intersection, FYB is the number of vehicles traveling backward in the second direction at the first intersection, where n and m are values determined in real time by the ratio of the number of vehicles traveling forward to the number of vehicles traveling backward in the first direction; k. h is a value determined in proportion to the number of vehicles traveling forward and backward in the second direction in real time.
2. The system of claim 1, wherein the first sensing system is a camera system; the first sensing system includes;
monitoring a first forward camera and a first reverse camera in the forward direction in the first direction;
and monitoring a second positive camera in the positive direction and a second negative camera in the negative direction in the second direction.
3. The system of claim 1, wherein t12 is the time required to traverse a road segment between the first intersection and the second intersection at a speed Vmax, which is the highest speed limit for the road segment.
4. The system of claim 1, wherein t12 is the time required to traverse a link between the first intersection and the second intersection at a speed of 0.5Vmax to 0.9Vmax, vmax being the highest speed limit for said link.
5. The system of claim 1, wherein t12 is the time required to traverse a road segment between the first intersection and the second intersection at a speed of 0.8Vmax, vmax being the highest speed limit for said road segment.
6. The system of claim 2, wherein n, m, k, h ranges from 0.2 to 0.8.
7. The system of claim 2, wherein n, m, k, h is 0.5.
8. The system of claim 2, wherein p ranges from 1/36 to 36.
9. The system of claim 2, wherein p ranges from 1/4~4.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911228036.4A CN110766958B (en) | 2019-12-04 | 2019-12-04 | Intelligent control system for traffic signal lamp |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911228036.4A CN110766958B (en) | 2019-12-04 | 2019-12-04 | Intelligent control system for traffic signal lamp |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110766958A CN110766958A (en) | 2020-02-07 |
| CN110766958B true CN110766958B (en) | 2023-05-02 |
Family
ID=69341153
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911228036.4A Active CN110766958B (en) | 2019-12-04 | 2019-12-04 | Intelligent control system for traffic signal lamp |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110766958B (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2012032866A (en) * | 2010-07-28 | 2012-02-16 | Sumitomo Electric Ind Ltd | Traffic signal control system and traffic signal control device |
| CN103578281A (en) * | 2012-08-02 | 2014-02-12 | 中兴通讯股份有限公司 | Optimal control method and device for traffic artery signal lamps |
| CN106960584A (en) * | 2017-05-22 | 2017-07-18 | 中南大学 | A kind of traffic control method and device of self adaptation crossroad traffic signal lamp |
| CN109166325A (en) * | 2018-08-01 | 2019-01-08 | 昆明理工大学 | A kind of traffic signal light intelligent control system and its control method |
| CN109615889A (en) * | 2018-12-29 | 2019-04-12 | 南京奥杰智能科技有限公司 | Crossing traffic road condition detection system for traffic signals intelligent control |
Family Cites Families (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| IL215053A0 (en) * | 2011-09-08 | 2011-10-31 | Intellicon Ltd | Traffic light system and method |
| CN103778791B (en) * | 2012-10-26 | 2016-02-10 | 中兴通讯股份有限公司 | A kind of traffic self-adaptation control method and device |
| CN108074406A (en) * | 2016-11-16 | 2018-05-25 | 杭州海康威视数字技术股份有限公司 | A kind of signal control method and system |
| CN207337669U (en) * | 2017-04-22 | 2018-05-08 | 王蔡祥 | Assist intelligent traffic signal control system of the vehicle quickly through crossing |
| CN107170253A (en) * | 2017-04-22 | 2017-09-15 | 王蔡祥 | Vehicle is assisted quickly through the intelligent traffic signal control system and method at crossing |
| CN108074403A (en) * | 2018-01-18 | 2018-05-25 | 徐晓音 | Control method and system that the traffic lights of crossing vehicle congestion is shown are prevented based on bidirectional camera shooting head |
| CN108898834A (en) * | 2018-07-12 | 2018-11-27 | 安徽电信工程有限责任公司 | A kind of intellectual traffic control method monitoring traffic accident at intersection |
-
2019
- 2019-12-04 CN CN201911228036.4A patent/CN110766958B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2012032866A (en) * | 2010-07-28 | 2012-02-16 | Sumitomo Electric Ind Ltd | Traffic signal control system and traffic signal control device |
| CN103578281A (en) * | 2012-08-02 | 2014-02-12 | 中兴通讯股份有限公司 | Optimal control method and device for traffic artery signal lamps |
| CN106960584A (en) * | 2017-05-22 | 2017-07-18 | 中南大学 | A kind of traffic control method and device of self adaptation crossroad traffic signal lamp |
| CN109166325A (en) * | 2018-08-01 | 2019-01-08 | 昆明理工大学 | A kind of traffic signal light intelligent control system and its control method |
| CN109615889A (en) * | 2018-12-29 | 2019-04-12 | 南京奥杰智能科技有限公司 | Crossing traffic road condition detection system for traffic signals intelligent control |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110766958A (en) | 2020-02-07 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107146429B (en) | Traffic signal lamp control method based on fusion of image and GPS information | |
| CN109859479B (en) | Vehicle road guiding evacuation method based on cloud computing | |
| CN201716860U (en) | Traffic signal light control system | |
| CN111932916B (en) | Control method and control system for dynamic emergency lane of urban road | |
| WO2018232896A1 (en) | Intelligent traffic light control method and device | |
| CN108682168B (en) | Vehicle speed guiding system and method for reducing stopping at signalized intersection | |
| CN108109403B (en) | Adaptive traffic light control system and method based on traffic flow | |
| CN105489034A (en) | Main line full traffic control system and method | |
| CN109887289A (en) | A kind of network vehicle flowrate maximization approach of urban traffic network model | |
| CN113947900A (en) | Intelligent network connection express way ramp cooperative control system | |
| CN114141021B (en) | Smart city traffic signal lamp control system and control method thereof | |
| CN107945511A (en) | A kind of computational methods of intersection delay time | |
| CN108573607A (en) | A kind of traffic light control system and method | |
| CN104680820A (en) | Traffic flow car networking system and traffic flow control method based on gradient field | |
| CN114882712B (en) | Multi-turn control expressway interception method based on lane space occupancy | |
| CN110189530A (en) | A kind of signal control interference method towards section emergent traffic incident | |
| CN110111588A (en) | A kind of traffic lamp control method and control system | |
| CN109272765A (en) | A kind of virtual traffic lights management system, method and navigation system | |
| CN202549064U (en) | Signal lamp control system based on real-time road condition | |
| CN109243177A (en) | Road traffic wide area abductive approach | |
| CN110766958B (en) | Intelligent control system for traffic signal lamp | |
| CN111161549A (en) | Intelligent traffic intersection passing system | |
| CN110930742B (en) | Intelligent control method for traffic signal lamp | |
| CN115578869B (en) | Intersection public transportation dynamic priority system and method under vehicle-road cooperative environment | |
| CN115880907A (en) | Adaptive variable lane control system and method for implementing same |
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 |