CN110766958A - Intelligent control system for traffic signal lamp - Google Patents
Intelligent control system for traffic signal lamp Download PDFInfo
- Publication number
- CN110766958A CN110766958A CN201911228036.4A CN201911228036A CN110766958A CN 110766958 A CN110766958 A CN 110766958A CN 201911228036 A CN201911228036 A CN 201911228036A CN 110766958 A CN110766958 A CN 110766958A
- Authority
- CN
- China
- Prior art keywords
- intersection
- passing
- road
- time
- 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.)
- Granted
Links
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 traffic signal lamp control system which comprises a first sensing system at a first intersection, a cloud end and a second signal lamp at a second intersection, wherein the first sensing system monitors vehicles coming and going in a first direction at the first intersection, and transmits first vehicle data and first passing time allowed by the first intersection in the first direction to the cloud end; the cloud end sends a passing permission parameter in the first direction to a second signal lamp of a second intersection after processing the data; the allowable passing parameters satisfy: t2 is T1+ tx1+ T12, T2 is a start time point of the second signal lamp allowing the passage in the first direction, T1 is a start time point of the first intersection allowing the passage, tx1 is a first passage time period, and T12 is a travel time period between the first intersection and the second intersection in the first direction. The intelligent traffic light has the technical effects of adjusting traffic signal lights in real time, improving the green light passing time of congested road sections, reducing the green light passing time of smooth road sections, and achieving efficient and continuous passing in peak periods.
Description
Technical Field
The invention relates to an intelligent control method and system for traffic signal lamps, in particular to an intelligent video image processing technology.
Background
At present, in large and medium-sized cities in China and city centers in the midwest cities, the number of vehicles carried by roads at peak time is in the saturation period, particularly in the peak time period of going to work and going to work every day, the vehicle congestion problem is serious, and in extreme cases, the passing time of a single intersection exceeds 30 minutes, so that the time is greatly wasted, and local air pollution is easily caused.
The road congestion is caused by a plurality of reasons, namely, the road planning is unreasonable, a large trunk network is taken as a main reason, and a capillary road traffic network is lacked; another important reason is that the road signal lamp is not set in a standard way, the traffic signal lamp system has low traffic dispersion capacity according to the signal lamp, the working flow and rhythm are not changed 24 days, the real-time traffic state cannot be adjusted in time, the blocked road is blocked, and a long-time green light signal distributed to the smooth road causes waste, one signal lamp with the length of hundreds of meters and a red light just wait for a vehicle, and the red light is dozens of seconds when the vehicle arrives at the next intersection, so that large-scale tidal traffic cannot be formed, and high-probability and high-efficiency continuous traffic cannot be realized.
Therefore, how to adjust the traffic signal lamps in real time improves the green light passing time of congested road sections, reduces the green light passing time of smooth road sections, and the efficient continuous passing in peak periods becomes a problem to be solved by urban management people.
Disclosure of Invention
The invention provides an intelligent control method and system for traffic signal lamps. The intelligent traffic light has the technical effects of adjusting traffic signal lights in real time, improving the green light passing time of congested road sections, reducing the green light passing time of smooth road sections, and achieving efficient and continuous passing in peak periods.
The invention provides an intelligent control method of a traffic signal lamp, which comprises the following steps:
step 100: monitoring an incoming vehicle in a first direction at a first intersection, and transmitting first vehicle data and a first passing time allowed by the first intersection in the first direction to a cloud end;
step 200: the cloud end sends a passing permission parameter in the first direction to a second signal lamp of a second intersection after processing the data;
the allowable passing parameters satisfy:
T2＝T1+tx1+t12
t2 is a start time point at which the second signal lamp permits passage in the first direction, T1 is a first intersection permit passage start time point, tx1 is a first passage time period, and T12 is a travel time period between the first intersection and the second intersection in the first direction.
Preferably, step 100 further comprises: monitoring an oncoming vehicle in a second direction at a first intersection, and transmitting second vehicle data and a second traffic duration allowed by the first intersection in the second direction to a cloud;
tx1 satisfies: (nFXG + mFXB)/tx1 ═ p (kFYG + hFYB)/ty1
Wherein: n + m is 1, k + h is 1; p is a main road coefficient representing the road vehicle carrying ratio of the first intersection in the first direction and the second direction; ty1 is the second passage duration; FXG is the number of vehicles traveling forward at a first intersection in said first direction, FXB is the number of vehicles traveling backward at a first intersection in said first direction; FYG is the number of vehicles traveling in the first intersection in the forward direction in the second direction, and FYB is the number of vehicles traveling in the first intersection in the reverse direction in the second direction.
Preferably, t12 is the time required to pass the road segment between the first intersection and the second intersection at speed Vmax, which is the highest speed limit for the road segment.
Preferably, t12 is the time required to pass through the road section between the first intersection and the second intersection at a speed of 0.5 Vmax-0.9 Vmax, Vmax being the highest speed limit for the road section.
Preferably, t12 is the time required to pass the road segment between the first intersection and the second intersection at a speed of 0.8Vmax, which is the highest speed limit for the road segment.
Preferably, n, m, k, and h are all in the range of 0.2 to 0.8.
Preferably, n, m, k, h are all 0.5.
Preferably, p ranges from 1/36 to 36.
Preferably, p ranges from 1/12 to 12.
Preferably, p is in the range of 1/4-4.
Also provides an intelligent control system of traffic signal lamps, which comprises a first sensing system at a first intersection, a cloud end and a second signal lamp at a second intersection,
the first sensing system monitors the vehicles coming and going in a first direction at a first intersection, and transmits first vehicle data and first passing time allowed by the first intersection in the first direction to the cloud end;
the cloud end sends a passing permission parameter in the first direction to a second signal lamp of a second intersection after processing the data; the allowable passing parameters satisfy:
T2＝T1+tx1+t12
t2 is a start time point at which the second signal lamp permits passage in the first direction, T1 is a first intersection permit passage start time point, tx1 is a first passage time period, and T12 is a travel time period between the first intersection and the second intersection in the first direction.
Preferably, the first sensing system monitors the vehicles coming and going in the second direction at the first intersection, and transmits second vehicle data and the second passing time allowed by the first intersection in the second direction to the cloud;
tx1 satisfies: (nFXG + mFXB)/tx1 ═ p (kFYG + hFYB)/ty1
Wherein: n + m is 1, k + h is 1; p is a main road coefficient representing the road vehicle carrying ratio of the first intersection in the first direction and the second direction; ty1 is the second passage duration; FXG is the number of vehicles traveling forward at a first intersection in said first direction, FXB is the number of vehicles traveling backward at a first intersection in said first direction; FYG is the number of vehicles traveling in the first intersection in the forward direction in the second direction, and FYB is the number of vehicles traveling in the first intersection in the reverse direction in the second direction.
Preferably, the first sensing system is a camera system; the first sensing system comprises;
monitoring a first positive camera in the forward direction and a first negative camera in the reverse direction in the first direction;
and monitoring a positive second camera in the forward direction and a negative second camera in the reverse direction of the second direction.
Preferably, t12 is the time required to pass the road segment between the first intersection and the second intersection at speed Vmax, which is the highest speed limit for the road segment.
Preferably, t12 is the time required to pass through the road section between the first intersection and the second intersection at a speed of 0.5 Vmax-0.9 Vmax, Vmax being the highest speed limit for the road section.
Preferably, t12 is the time required to pass the road segment between the first intersection and the second intersection at a speed of 0.8Vmax, which is the highest speed limit for the road segment.
Preferably, n, m, k, and h are all in the range of 0.2 to 0.8.
Preferably, n, m, k, h are all 0.5.
Preferably, p ranges from 1/36 to 36.
Preferably, p is in the range of 1/4-4.
The invention provides an intelligent control method and system for traffic signal lamps. The intelligent traffic light has the technical effects of adjusting traffic signal lights in real time, improving the green light passing time of congested road sections, reducing the green light passing time of smooth road sections, and achieving efficient and continuous passing in peak periods.
Drawings
FIG. 1 is a schematic diagram of an intelligent traffic signal control system according to the present invention;
FIG. 2 is a flow chart of the traffic signal lamp intelligent control method of the invention.
Detailed Description
The following describes in detail specific embodiments of the traffic signal lamp intelligent control method and the traffic signal lamp intelligent control system provided by the present invention with reference to the accompanying drawings.
In the drawings, the dimensional ratios of layers and regions are not actual ratios for the 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. In addition, 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 can be the only layer between the two layers, or one or more intervening layers may also be present. Like reference numerals refer to like elements throughout. In addition, when two components are referred to as being "connected," they include physical connections, including, but not limited to, electrical connections, contact connections, and wireless signal connections, unless the specification expressly dictates otherwise.
In order to realize real-time adjustment of traffic signal lamps, improve the green light passing time of congested road sections, reduce the green light passing time of smooth road sections and achieve efficient continuous passing in peak periods.
The applicant provides an intelligent control method for traffic lights, as shown in fig. 1-2, comprising:
step 100: monitoring an incoming vehicle in a first direction X at a first intersection, and transmitting first vehicle data and a first passing time allowed by the first intersection in the first direction X to a cloud end;
step 200: the cloud end 2 sends a passing permission parameter in the first direction X to a second signal lamp of a second intersection after processing the data;
the allowable passing parameters satisfy:
T2＝T1+tx1+t12
t2 is the starting point of the second signal light allowing passage in the first direction X; t1 is the first intersection passage permission start time point; tx1 is a first transit time period, such as the green transit time periods of signal lights 11 and 12; t12 is the running time between the first intersection and the second intersection in the first direction X, and the traffic light is adjusted in real time according to the real-time monitoring of the road vehicle condition on the sensing system, so that the green light running time of the congested road section is prolonged, and the efficient continuous running is achieved in the peak period.
In practical experiments, where tx1 is only available for traffic in the first direction X, traffic in the second direction Y needs to be considered, otherwise congestion will also result.
In this embodiment, step 100 further includes: monitoring vehicles coming and going in a second direction Y at the first intersection, and transmitting second vehicle data and second traffic duration allowed by the first intersection in the second direction Y to the cloud end 2;
tx1 satisfies: (nFXG + mFXB)/tx1 ═ p (kFYG + hFYB)/ty1
Wherein: n + m is 1, k + h is 1; p is a main road coefficient which represents the road vehicle bearing ratio of the first intersection in the first direction and the second direction Y; ty1 is the second passage time period, such as the green time period of signal lights 13 and 14; FXG is the number of vehicles traveling in the first direction X at the first intersection, monitored by the sensing device 12; FXB is the number of vehicles in the first intersection travelling in reverse in said first direction X, monitored by the sensing device 11; FYG is the number of vehicles traveling in the forward direction in the second direction Y at the first intersection, monitored by the sensing device 13; FYB is the number of vehicles traveling in reverse in the second direction Y at the first intersection, and is monitored by the sensing device 14. The number of vehicles on the cross road is monitored in real time, the parameters n, m, k and h are adjusted, the traffic signal lamps are adjusted in real time, the green light passing time of the congested road section is prolonged, and efficient continuous passing is achieved in the peak period.
For example, if the sensing device 12 monitors more vehicles and the sensing device 11 monitors less vehicles, the n and m values can be determined in real time according to the direct proportion of the accurate number of vehicles, or the n and m values in the next equal time period or one hour can be determined according to a time period, such as 5 minutes and 10 minutes, so as to adjust the traffic lights 32 and 31 in real time, improve the green light passing time 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 less vehicles, the k and h sizes may be determined in real time according to the direct proportion of the accurate number of vehicles, or the k and h sizes may be determined in the next equal time period or in one hour according to a time period, such as 5 minutes and 10 minutes, so as to adjust the traffic lights 33 and 34 in real time, and the traffic conditions on all the crossing roads are taken into consideration, so that the green light passing time of the congested road section is prolonged, and the efficient continuous passing is achieved in the peak period.
The applicant confirmed that the ranges of n, m, k, and h were all 0.2 to 0.8 by mass data observation.
Preferably, n, m, k, h are all 0.5.
In the actual road situation, not all the crossing roads have the same vehicle load number, for example, the number of the bidirectional 8 roads is obviously much larger than that of the bidirectional 2 roads, so that the roads with larger number of roads pass more vehicles in unit time, and the main road coefficient p needs to be adjusted.
According to the actual road condition and considering the one-way road, the range of p is 1/36-36.
Preferably, p ranges from 1/12 to 12.
Preferably, p is in the range of 1/4-4, such as 0.25, 0.5, 1, 2, 4.
The driving time t12 required by the distance between the intersections is also a factor to be considered, and the following t12 can be determined according to the normal driving habits of drivers and the urban traffic speed limit rule:
in this embodiment, t12 is the time required for the speed Vmax to pass through the road between the first intersection and the second intersection, Vmax is the highest speed limit of the above road, 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 drive at top speed, and the driving is probabilistically lower than the speed limit, in this case, t12 is the time required for the speed to be 0.5 Vmax-0.9 Vmax to pass through the section between the first intersection and the second intersection, Vmax is the highest speed limit of the 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 by simple calculation.
Preferably, most drivers will drive at 80% of the speed limit by observation and positive-over distribution statistics, t12 is the time required for the road between the first intersection and the second intersection to pass through at a speed of 0.8Vmax, Vmax being the highest speed limit of the above road, as shown in fig. 1, on the road with a speed limit of 50, 0.8Vmax is 40 km/h, and t12 can be obtained by simple calculation.
In order to simplify the intelligent control method, the allowable passing time lengths of the signal lamps of the first intersection and the second intersection in the first direction X are equal.
The applicant also provides an intelligent traffic signal control system comprising a first sensing system at a first crossing, a cloud 2 and a second signal lamp (not shown) at a second crossing, characterized in that,
the first sensing system monitors vehicles coming and going in a first direction X at a first intersection, and transmits first vehicle data and first passing time allowed by the first intersection in the first direction X to the cloud end 2;
the cloud end 2 sends a passing permission parameter in the first direction X to a second signal lamp of a second intersection after processing the data; the allowable passing parameters satisfy:
T2＝T1+tx1+t12
t2 is the starting time point of the second signal lamp (not shown) allowing the traffic in the first direction X, T1 is the starting time point of the first intersection allowing the traffic, tx1 is the first traffic duration, and T12 is the running duration between the first intersection and the second intersection in the first direction X.
In practical experiments, where tx1 is only available for traffic in the first direction X, traffic in the second direction Y needs to be considered, otherwise congestion will also result.
In this embodiment, the first sensing system monitors the vehicles coming and going in the second direction Y at the first intersection, and transmits the second vehicle data and the second passing duration allowed by the first intersection in the second direction Y to the cloud;
tx1 satisfies: (nFXG + mFXB)/tx1 ═ p (kFYG + hFYB)/ty1
Wherein: n + m is 1, k + h is 1; p is a main road coefficient which represents the road vehicle bearing ratio of the first intersection in the first direction X and the second direction Y; ty1 is the second passage time period, such as the green time period of signal lights 13 and 14; FXG is the number of vehicles traveling in the first direction X at the first intersection, monitored by the sensing device 12; FXB is the number of vehicles in the first intersection travelling in reverse in said first direction X, monitored by the sensing device 11; FYG is the number of vehicles traveling in the forward direction in the second direction Y at the first intersection, monitored by the sensing device 13; FYB is the number of vehicles traveling in reverse in the second direction Y at the first intersection, and is monitored by the sensing device 14. The number of vehicles on the cross road is monitored in real time, the parameters n, m, k and h are adjusted, the traffic signal lamps are adjusted in real time, the green light passing time of the congested road section is prolonged, and efficient continuous passing is achieved in the peak period.
For example, if the sensing device 12 monitors more vehicles and the sensing device 11 monitors less vehicles, the n and m values can be determined in real time according to the direct proportion of the accurate number of vehicles, or the n and m values in the next equal time period or one hour can be determined according to a time period, such as 5 minutes and 10 minutes, so as to adjust the traffic lights 32 and 31 in real time, improve the green light passing time 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 less vehicles, the k and h sizes may be determined in real time according to the direct proportion of the accurate number of vehicles, or the k and h sizes may be determined in the next equal time period or in one hour according to a time period, such as 5 minutes and 10 minutes, so as to adjust the traffic lights 33 and 34 in real time, and the traffic conditions on all the crossing roads are taken into consideration, so that the green light passing time of the congested road section is prolonged, and the efficient continuous passing is achieved in the peak period.
The applicant confirmed that the ranges of n, m, k, and h were all 0.2 to 0.8 by mass data observation.
Preferably, n, m, k, h are all 0.5. .
In this embodiment, the first sensing system is a camera system; the first sensing system comprises;
as shown in fig. 1, monitoring a first positive camera 11 in the positive direction and a first negative camera 12 in the negative direction in the first direction X; and monitoring a second positive camera 14 in the positive direction and a second negative camera 13 in the negative direction in the second direction Y.
In the actual road situation, not all the crossing roads have the same vehicle load number, for example, the number of the bidirectional 8 roads is obviously much larger than that of the bidirectional 2 roads, so that the roads with larger number of roads pass more vehicles in unit time, and the main road coefficient p needs to be adjusted.
According to the actual road condition and considering the one-way road, the range of p is 1/36-36.
Preferably, p ranges from 1/12 to 12.
Preferably, p is in the range of 1/4-4, such as 0.25, 0.5, 1, 2, 4.
The driving time t12 required by the distance between the intersections is also a factor to be considered, and the following t12 can be determined according to the normal driving habits of drivers and the urban traffic speed limit rule:
in this embodiment, t12 is the time required for the speed Vmax to pass through the road between the first intersection and the second intersection, Vmax is the highest speed limit of the above road, 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 drive at top speed, and the driving is probabilistically lower than the speed limit, in this case, t12 is the time required for the speed to be 0.5 Vmax-0.9 Vmax to pass through the section between the first intersection and the second intersection, Vmax is the highest speed limit of the 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 by simple calculation.
Preferably, most drivers will drive at 80% of the speed limit by observation and positive-over distribution statistics, t12 is the time required for the road between the first intersection and the second intersection to pass through at a speed of 0.8Vmax, Vmax being the highest speed limit of the above road, as shown in fig. 1, on the road with a speed limit of 50, 0.8Vmax is 40 km/h, and t12 can be obtained by simple calculation.
The invention provides an intelligent control method and system for traffic signal lamps. The intelligent traffic light has the technical effects of adjusting traffic signal lights in real time, improving the green light passing time of congested road sections, reducing the green light passing time of smooth road sections, and achieving efficient and continuous passing in peak periods.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.
Claims (10)
1. An intelligent control system of traffic signal lamps, which comprises a first sensing system at a first intersection, a cloud end and a second signal lamp at a second intersection, and is characterized in that,
the first sensing system monitors the vehicles coming and going in a first direction at a first intersection, and transmits first vehicle data and first passing time allowed by the first intersection in the first direction to the cloud end;
the cloud end sends a passing permission parameter in the first direction to a second signal lamp of a second intersection after processing the data; the allowable passing parameters satisfy:
T2＝T1+tx1+t12
t2 is a start time point at which the second signal lamp permits passage in the first direction, T1 is a first intersection permit passage start time point, tx1 is a first passage time period, and T12 is a travel time period between the first intersection and the second intersection in the first direction.
2. The system of claim 1, wherein the first sensing system monitors vehicles traveling to and from the second direction at the first intersection, transmits second vehicle data to the cloud, and a second transit time allowed for the first intersection in the second direction;
tx1 satisfies: (nFXG + mFXB)/tx1 ═ p (kFYG + hFYB)/ty1
Wherein: n + m is 1, k + h is 1; p is a main road coefficient representing the road vehicle carrying ratio of the first intersection in the first direction and the second direction; ty1 is the second passage duration; FXG is the number of vehicles traveling forward at a first intersection in said first direction, FXB is the number of vehicles traveling backward at a first intersection in said first direction; FYG is the number of vehicles traveling in the first intersection in the forward direction in the second direction, and FYB is the number of vehicles traveling in the first intersection in the reverse direction in the second direction.
3. The system of claim 1, wherein the first sensing system is a camera system; the first sensing system comprises;
monitoring a first positive camera in the forward direction and a first negative camera in the reverse direction in the first direction;
and monitoring a positive second camera in the forward direction and a negative second camera in the reverse direction of the second direction.
4. The method of claim 1, wherein t12 is the time required to traverse the road segment between the first intersection and the second intersection at a speed Vmax, which is the highest speed limit for the road segment.
5. The method of claim 1, wherein t12 is velocity
0.5Vmax to 0.9Vmax of the time required for passing through the road section between the first intersection and the second intersection,
vmax is the highest speed limit for the road segment.
6. The method of claim 1, wherein t12 is the time required to traverse the road segment between the first intersection and the second intersection at a speed of 0.8Vmax, which is the highest speed limit for the road segment.
7. The method according to claim 2, wherein n, m, k, and h are each in the range of 0.2 to 0.8.
8. The method of claim 2, wherein n, m, k, and h are all 0.5.
9. The method of claim 2, wherein p is in the range of 1/36-36.
10. The method of claim 2, wherein p is in the range of 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 true CN110766958A (en) | 2020-02-07 |
| CN110766958B 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 (12)
| 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 |
| CN103778791A (en) * | 2012-10-26 | 2014-05-07 | 中兴通讯股份有限公司 | Traffic adaptive control method and traffic adaptive control device |
| US20140320316A1 (en) * | 2011-08-09 | 2014-10-30 | Luzzatto & Luzzatto | Traffic light system and method |
| 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 |
| 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 |
| CN207337669U (en) * | 2017-04-22 | 2018-05-08 | 王蔡祥 | Assist intelligent traffic signal control system of the vehicle quickly through crossing |
| 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 |
| 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 |
| 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 |
-
2019
- 2019-12-04 CN CN201911228036.4A patent/CN110766958B/en active Active
Patent Citations (12)
| 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 |
| US20140320316A1 (en) * | 2011-08-09 | 2014-10-30 | Luzzatto & Luzzatto | Traffic light system and method |
| 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 |
| CN103778791A (en) * | 2012-10-26 | 2014-05-07 | 中兴通讯股份有限公司 | Traffic adaptive control method and traffic adaptive control 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 |
| 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 |
| CN207337669U (en) * | 2017-04-22 | 2018-05-08 | 王蔡祥 | Assist intelligent traffic signal control system of the vehicle quickly through crossing |
| 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 |
| 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 |
| 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 |
|---|---|
| CN110766958B (en) | 2023-05-02 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107146429B (en) | Traffic signal lamp control method based on fusion of image and GPS information | |
| CN104574970B (en) | The connection traffic behavior evaluation methodology of Urban Underground shutdown system gateway | |
| CN105046987B (en) | A kind of road traffic Control of coordinated signals method based on intensified learning | |
| CN104933876B (en) | A kind of control method of adaptive smart city intelligent traffic signal | |
| CN111932916B (en) | Control method and control system for dynamic emergency lane of urban road | |
| CN107025792A (en) | The method of adjustment and device in track and signal lamp cycle based on vehicle queue length | |
| CN109887289A (en) | A kind of network vehicle flowrate maximization approach of urban traffic network model | |
| CN101299298A (en) | Road self-adapting entrance ramp afflux control equipment and method | |
| CN108665707A (en) | It is a kind of prevent local traffic congestion expressway access shunting and flow cooperative control method | |
| CN107730886A (en) | Dynamic optimization method for traffic signals at urban intersections in Internet of vehicles environment | |
| CN108109403B (en) | Adaptive traffic light control system and method based on traffic flow | |
| CN107945511A (en) | A kind of computational methods of intersection delay time | |
| CN113947900A (en) | Intelligent network connection express way ramp cooperative control system | |
| CN105844925B (en) | Urban traffic control device, system and method based on mobile phone wireless net | |
| CN106469507A (en) | Dynamic green wave system and method automatically adjusted based on Real-Time Traffic Volume data | |
| CN109003460A (en) | Traffic lights Optimization Scheduling and system | |
| CN110189530A (en) | A kind of signal control interference method towards section emergent traffic incident | |
| CN106355911A (en) | Prior control method for bus rapid transit signal during traffic peak duration | |
| CN116051052A (en) | Digital visual intelligent management platform for automobile road rescue | |
| CN113506442B (en) | Urban road network traffic signal lamp control method based on expected income estimation | |
| CN205670385U (en) | Urban traffic control device based on mobile phone wireless net | |
| CN110930742B (en) | Intelligent control method for traffic signal lamp | |
| CN110766958A (en) | Intelligent control system for traffic signal lamp | |
| CN115578869B (en) | Intersection public transportation dynamic priority system and method under vehicle-road cooperative environment | |
| CN106384523A (en) | Reversible lane control system and control method of urban vehicle transportation capacity |
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 |