WO2018107744A1

WO2018107744A1 - Smart traffic light control system

Info

Publication number: WO2018107744A1
Application number: PCT/CN2017/093276
Authority: WO
Inventors: 陈金锋; 谭斯月
Original assignee: 广州二通通信科技有限公司
Priority date: 2016-12-12
Filing date: 2017-07-18
Publication date: 2018-06-21
Also published as: CN106530753B; CN106530753A

Abstract

A smart traffic light control system, comprising a cloud platform and each traffic node connected to the cloud platform, each traffic node comprising a plurality of vehicle control signal lights and/or pedestrian control signal lights, the traffic node being equipped with a communication module, the cloud platform controlling the indication state of the vehicle control signal lights and/or pedestrian control signal lights by means of the communication module in order to control the allowable passage time, and the time control policy of each traffic node comprising a vehicle policy and a pedestrian policy; the traffic node is provided with a body sensor, and when the body sensor detects a pedestrian, the corresponding vehicle control signal light and pedestrian control signal light are controlled by the pedestrian policy; and when the body sensor has not detected a body for a certain period of time, the corresponding vehicle control signal light and pedestrian control signal light are controlled by the vehicle policy.

Description

Intelligent traffic light control system

Technical field

[0001] The present invention relates to a traffic light control system, and in particular to an intelligent traffic light control system.

Background technique

[0002] At present, the traffic light control methods used in China are mainly divided into a fixed distribution mode, an inductive control mode, and a monitoring room control mode.

[0003] The fixed distribution method refers to the control of traffic signals according to a preset allocation scheme, also called periodic control. The equipment required for the distribution method is simple, the investment is the most economical, and the maintenance is convenient. It is a widely used basic control method, which is suitable for traffic conditions with relatively regular traffic flow changes. However, its lack of flexibility, such as the presence of vehicles in the phase of the vehicle, is likely to cause traffic jams at the next intersection. In the middle of the passage, there is no rut in a certain phase, and there will be blind spots in traffic control. In addition, there is a lack of emergency parking spaces. Consideration. Therefore, the flexibility of the allocation method is poor.

[0004] Inductive control mode refers to a control method in which a vehicle detector is disposed on an entrance of an intersection, and the control signal can be changed with the traffic information detected by the vehicle detector. The sensing signal is a traffic signal that can be detected by a ground coil or a track pin. In addition, the pedestrian button signal of the pedestrian crossing button near the pedestrian crossing line is also an inductive signal. The inductive control method is often used in traffic situations where traffic is not large and irregular, and has certain flexibility, but the installation cost of the control equipment is large, and maintenance is required. Therefore, the inductive control method has a large installation cost and a narrow application range.

[0005] The monitoring room control mode is to transmit the actual traffic condition of the intersection to the monitoring room through the camera video equipment of each phase, and manually control the traffic light to control the traffic condition. The flexibility of the control room control mode is high, but manual intervention is required and the workload is large. Therefore, the use of the control room control method is relatively expensive.

[0006] Regardless of which of the above control methods, the degree of manual intervention is large, and the problem of pedestrian number detection cannot be intelligently solved, and switching between pedestrian traffic and driving traffic is realized.

technical problem

In view of the above, an object of the present invention is to provide a type that can effectively prevent traffic congestion.

Problem solution Technical solution

[0008] In order to solve the above technical problem, the technical solution of the present invention is:

[0009] An intelligent traffic light control system includes a cloud platform, and each traffic node connected to the cloud platform, each traffic node includes a plurality of vehicle control lights and/or pedestrian control signals, and the traffic nodes are configured with communication a module, the cloud platform controls an indication state of a vehicle control signal and/or a pedestrian control signal by a communication module to control an allowed transit time, and a traffic control strategy of each traffic node includes a driving strategy and a pedestrian policy, and the traffic node configuration There is a human body sensor. When the human body sensor detects the pedestrian squat, the corresponding vehicle control signal light and pedestrian control signal light are controlled by the pedestrian strategy; when the human body sensor does not detect the human body squat in the squat, the corresponding vehicle control signal and pedestrian control The signal light is controlled by the driving strategy.

[0010] further comprising: a fault feedback terminal, the fault feedback terminal is connected to the cloud platform and used for uploading traffic fault information, the traffic fault information includes a traffic fault road segment and a traffic fault segment, and the cloud platform is configured with a fault handling strategy, The fault processing strategy responds to the traffic fault information, increases the allowable traffic time of the vehicle control signal corresponding to the traffic fault road section in the traffic fault section, or reduces the vehicle control signal light corresponding to the traffic fault road section. Allow access to the day.

[0011] Further, the vehicle control signal lamp includes a fault indicator light, and the fault indicator light works in response to the fault indication signal, and the fault processing strategy responds to the traffic fault information in the traffic fault segment. Or the vehicle control signal corresponding to the faulty road segment sends a fault indication signal.

[0012] Further: the traffic node is preset with different inter-turn control strategies to balance and adjust the allowable traffic of all vehicle control lights and/or pedestrian control lights of the node, when any vehicle control signal is allowed to pass. After the daytime changes, the allowable traffic lights of other vehicle control lights and/or pedestrian control lights of the same traffic node change accordingly according to the daytime control strategy.

[0013] Further: the traffic node is preset with different inter-turn control strategies to balance and adjust the allowable traffic of all the vehicle control lights and/or pedestrian control lights of the node, when any pedestrian control signal is allowed to pass. After the daytime changes, the allowable traffic lights of other vehicle control lights and/or pedestrian control lights of the same traffic node change accordingly according to the daytime control strategy.

[0014] Further, the traffic node is provided with a number of people detecting device, wherein the number of people detecting device is used for detecting the number of people in the traffic node, and if the number of people is greater than the first preset value, the driving strategy is switched to the pedestrian policy; If the number of people is less than the second preset value, the pedestrian policy is switched to the driving strategy.

[0015] Further, the number of people detecting device is set as an image capturing device, and the image capturing device is configured with a pedestrian recognition algorithm for identifying the number of people.

[0016] Further, the number of detecting devices is set as a plurality of infrared sensing devices, and each of the infrared sensing devices is spaced apart to identify a number of people.

[0017] Further, the number of people detecting device is set as a scale, and the weight is recognized by the weight of the scale.

[0018] Further: when the pedestrian policy and the driving strategy are switched, the switching is performed after the first delay is extended.

Advantageous effects of the invention

Beneficial effect

[0019] The technical effects of the present invention are mainly embodied in the following aspects: Through the switching between the pedestrian strategy and the driving strategy, it is ensured that the pedestrians are less likely to pass the vehicle and the pedestrians are more likely to achieve pedestrian priority, thereby alleviating the traffic pressure.

BEST MODE FOR CARRYING OUT THE INVENTION

[0020] An intelligent traffic light control system includes a cloud platform, and each traffic node connected to the cloud platform, each traffic node includes a plurality of vehicle control lights and/or pedestrian control lights, and the traffic nodes are configured with communication a module, the cloud platform controls an indication state of the vehicle control signal and/or the pedestrian control signal to control the permission pass through the communication module, and further includes a fault feedback terminal, where the fault feedback terminal is connected to the cloud platform and used to upload traffic fault information, The traffic fault information includes a traffic fault section and a traffic fault section, and the cloud platform is configured with a fault handling strategy, and the fault processing strategy responds to the traffic fault information, and increases the traffic fault section corresponding to the traffic fault section. The permission of the vehicle control signal is allowed to pass, or the allowable traffic of the vehicle control signal corresponding to the traffic fault section is reduced. With this setting, when traffic failure or traffic maintenance occurs, it is very easy to cause road congestion. If it is not clear, it will easily cause road congestion. This design can upload fault signals through the terminal, so that the cloud platform can directly control the signal light to reduce the entry. The vehicle on the road section or the vehicle that has left the road section is completed, and the work is intelligently completed, no human intervention is required, the response speed is ensured, and the congestion problem is solved as quickly as possible. [0021] First, the fault feedback terminal can be a mobile terminal and a computer. Each user can feed back the fault information through the mobile terminal and the cloud platform, and the peer can be connected to the traffic management center, as long as the terminal of the traffic management center receives the same. Corresponding signals will also be sent to the cloud platform, and the cloud platform will directly respond to solve the traffic congestion problem and improve the traffic quality. The fault handling strategy can be as follows. For example, a traffic accident on the C section of Area A is received, and an accident occurs. In the event of a day, and the corresponding interception section, if the entire section is intercepted, all the vehicle status indicators of the previous traffic node entering the traffic failure section become all prohibited, and the traffic failure section may also be increased. The permission of the indicator light associated with the next traffic node is allowed to pass, and if only 1-2 lanes are occupied, the traffic lanes entering the traffic fault section can be reduced, and the traffic lanes of the traffic faults can be increased. Avoid congestion in the faulty section, and increase the reduction of the daytime According to the preset algorithm, if the ratio is set to 30%, the scale changes, for example, the left turn to the green light is 20 seconds, then the 30% increase, then the left turn is 26 seconds. In the meantime, the corresponding straight green light 吋 40 seconds, then you get a 52-second straight trip, and the left turn into the section is set to 20 seconds, then you get 14 seconds left turn, Change as above.

[0022] the traffic node is preset with different day-to-day control strategies to balance and adjust the allowed traffic conditions of all the vehicle control lights and/or pedestrian control lights of the node, when the allowed traffic of any vehicle control signal occurs After the change, the allowable traffic of other vehicle control lights and/or pedestrian control lights of the same traffic node changes accordingly according to the day-to-day control strategy. The diurnal control strategy is the existing control relationship, so that all the relationships must be satisfied. For example, for a road segment, the left turn green light 5 seconds after the end of the straight line is one of the relative relationship between the two lights, for example, Two sections of the opposite direction, one section is allowed to go straight, then the other section should also allow straight, but the left turn must be prohibited. According to all the relationships, the other signals must be changed accordingly. The equalization strategy is directly configured in the traffic node. But it does not limit the length of the signal.

[0023] the vehicle control signal lamp includes a fault indicator light, and the fault indicator light works in response to the fault indication signal, and the fault processing strategy responds to the traffic fault information, and causes the vehicle to leave or enter the traffic fault segment. The vehicle control signal corresponding to the faulty road segment sends a fault indication signal. The setting of the fault indicator is an additional signal light to remind the driver of a traffic accident in front of him, to avoid or change lanes, to avoid traffic congestion. [0024] The traffic node is configured with an image capturing device, and the image capturing device is configured to respectively identify the number of vehicles passing through the traffic node from each driving direction and upload to the cloud platform, where the cloud platform passes according to each driving direction. The number of vehicles in the traffic node is calculated to obtain the number of vehicles in a certain period of time and/or the number of vehicles entering a road segment. The image capturing device may be a camera, and the number of cameras set by each traffic node is not limited, and the vehicle is passed through the vehicle. The identification algorithm performs vehicle identification, so that the travel path of each vehicle can be judged. For example, in the B traffic node, in 1 minute, 4 vehicles pass the B node left to the C2 road section in the C1 road section; there are 6 vehicles in the C1 section. The section passes through the B node and goes straight to the C3 section. There is 1 car.

Turn right to the C4 section on the C1 section, and there are no other vehicles entering the C2 section except for three vehicles on the C4 section. This allows you to count 11 vehicles on the C1 section and 5 vehicles into the C2 section. The road section; thus, the number of entering and leaving vehicles of each road section is counted, and the vehicle is controlled according to the statistical result.

[0025] When the number of vehicles leaving the road section continues to be smaller than the number of vehicles entering the road section in the first preset time zone, the allowable traffic time of the vehicle control signal corresponding to the traffic fault road section is increased, or decreased. The small access to the traffic control road corresponding to the traffic control signal is allowed to pass. When the number of vehicles leaving the road section continues to be equal to the number of vehicles entering the road section in the first preset time zone, the allowable traffic time of the vehicle control signal corresponding to the traffic fault road section is reduced, or the entry is increased. The traffic control signal corresponding to the traffic fault section is allowed to pass. According to the above statistics, if there are more vehicles entering the road than the vehicles that are leaving the road, it is prone to blockages. It is necessary to increase the traffic that allows the departure to avoid the congestion. Similarly, if the long room is The number of entering and leaving the same number of cars is the same. In order to reduce the pressure on other road sections, it is possible to appropriately increase the space allowed to enter the road section.

[0026] The traffic control strategy of each traffic node includes a traffic peak-to-peak control strategy and a traffic valley control policy, and the traffic peak-to-day control strategy and the traffic valley control strategy are respectively in traffic. Peak and traffic valleys take effect. With this setting, since the traffic volume during the peak period is large and congestion needs to be avoided, it is necessary to set the period between the allowable transit time and the prohibition pass time of each traffic node to be small, so that the short time zone can be Minimize the congestion of the vehicle in one section, and if it is in the valley, you can extend the period and increase the allowable traffic between the long and the no-pass, for example, the peak of the C1 section: turn left to the green light for 10 seconds ( Red light for 50 seconds), straight green light for 30 seconds (red light for 20 seconds), wait 20 seconds. Gu Yu, C1 section away from the 幵, turn left green light for 20 seconds (red light 90 seconds), straight green light for 60 seconds (red light 40 Seconds, this can alleviate traffic pressure and ensure maximum traffic efficiency.

[0027] The traffic control strategy of each traffic node includes a driving strategy and a pedestrian strategy, and the traffic node is configured with a human body sensor. When the human body sensor detects pedestrian squatting, the corresponding vehicle control signal light and pedestrian control signal light are determined by the pedestrian strategy. Control; When the human body sensor does not detect the body squat in the squat, the corresponding vehicle control signal and pedestrian control signal are controlled by the driving strategy. When the pedestrian policy and the driving strategy are switched, the delay is delayed after the first delay. For example, at any traffic node, a pyroelectric sensor or an infrared sensor is set, and the pedestrian is detected by an infrared sensor or a pyroelectric sensor. If a pedestrian approaches the 吋, the pyroelectric sensor outputs a signal, and enters a pedestrian strategy, for example, a pedestrian strategy and The difference between the driving strategy is that the green light passing between the straight and left turns in the driving strategy is greater than the passing time in the pedestrian strategy (for example, 30 seconds), which is allocated to the day when pedestrians are allowed to pass, and the normal situation Next, pedestrians can pass normally, and if there are no pedestrians passing through the long queues, then delay (for example, 10 seconds) enters the driving strategy, and reduces the waiting time of the vehicle at this driving intersection, and once someone passes, enters the pedestrian strategy, The semaphore starts counting and allows pedestrians to pass after a delay (for example, 10 seconds).

[0028] The switching of the pedestrian strategy and the driving strategy can also be controlled by the following techniques:

[0029] 1. Identify the number of people by image recognition technology, and detect the number of people waiting at the intersection through the camera. When the number of people is less than the preset value, the driving strategy is maintained. When the number of people is greater than the preset value, the pedestrian strategy is immediately entered to realize the driving strategy and the pedestrian strategy. The replacement between.

[0030] 2. Identifying the number of people by thermal imaging technology, detecting the number of waiting persons at the intersection by the thermal imaging device, and maintaining the driving strategy when the number of people or the thermal imaging area is less than the preset value, when the number of people or the thermal imaging area is greater than the preset value, immediately Enter the pedestrian strategy to achieve a replacement between the driving strategy and the pedestrian strategy.

[0031] 3, by setting the weighing number at the intersection to detect the number of people, when the weight is greater than the preset value 吋, enter the pedestrian strategy, when the weight is less than the preset value 吋 enter the driving strategy, it should be noted that there may be more in a traffic node At each intersection, each intersection corresponds to 1-2 adjacent traffic lights.

[0032] It should be noted that the present invention relates to the adjustment of the signal light, so the adjustment should be given to the pedestrian or the driver, for example, if the signal light is green and there is still 60 seconds between the day, if Convert to a red light, then give at least 10 seconds of reflection, and directly indicate the countdown seconds.

[0033] Of course, the above is only a typical example of the present invention. In addition, the present invention may also have other specific embodiments, and any technical solution formed by equivalent replacement or equivalent transformation falls within the requirements of the present invention. Within the scope of protection.

Claims

Claim

[Claim 1] An intelligent traffic light control system includes a cloud platform, and each traffic node connected to the cloud platform, each traffic node includes a plurality of vehicle control lights and/or pedestrian control signals, and traffic node configuration There is a communication module, and the cloud platform controls the indication state of the vehicle control signal and/or the pedestrian control signal through the communication module to control the allowed traffic time, wherein the traffic control strategy of each traffic node includes a driving strategy and a pedestrian strategy. The traffic node is configured with a human body sensor. When the human body sensor detects a pedestrian, the corresponding vehicle control signal light and the pedestrian control signal light are controlled by a pedestrian strategy; when the human body sensor does not detect the human body flaw, the corresponding Vehicle control lights and pedestrian control lights are controlled by driving strategies.

[Claim 2] The intelligent traffic light control system according to claim 1, further comprising: a fault feedback terminal, wherein the fault feedback terminal is connected to the cloud platform and used for uploading traffic fault information, wherein the traffic fault information includes traffic In the faulty road section and the traffic fault section, the cloud platform is configured with a fault handling strategy, and the fault processing strategy responds to the traffic fault information, and increases the permission of the vehicle control signal corresponding to the traffic fault section in the traffic fault section Pass the day, or reduce the allowable traffic time of the vehicle control signal corresponding to the traffic fault section.

[Claim 3] The intelligent traffic light control system according to claim 2, wherein: the vehicle control signal lamp includes a fault indicator light, and the fault indicator light works in response to the fault indication signal, the fault The processing strategy responds to the traffic failure information, and causes a vehicle control signal corresponding to the faulty road segment to transmit a fault indication signal during the traffic failure period.

[Claim 4] The intelligent traffic light control system according to claim 2, wherein: the traffic node is preset with different daytime control strategies to balance all vehicle control signals and/or adjustments of the node. Pedestrian control signal is allowed to pass, when the allowable traffic of any vehicle control signal changes, the other traffic control lights of the same traffic node and/or the pedestrian traffic control lights are allowed to pass according to the daytime control strategy. Corresponding changes. The intelligent traffic light control system according to claim 2, wherein: said traffic node is preset with different daytime control strategies to balance the adjustment of all vehicle control lights and/or pedestrian control lights of the node. During the transit time, when the allowable traffic of any pedestrian control signal changes, the allowable traffic lights of other vehicle control signals and/or pedestrian control signals of the same traffic node change accordingly according to the day-to-day control strategy.

The intelligent traffic light control system according to claim 2, wherein: the traffic node is provided with a number of people detecting means, and the number of detecting means is for detecting the number of people in the traffic node, if the number of people is greater than the first preset value吋, the driving strategy is switched to the pedestrian strategy; if the number of people is less than the second preset value 则, the pedestrian policy is switched to the driving strategy.

An intelligent traffic light control system according to claim 6, wherein: said person number detecting means is provided as an image collecting means, and said image collecting means is provided with a pedestrian recognition algorithm for identifying the number of persons.

An intelligent traffic light control system according to claim 6, wherein: said number detecting means is provided as a plurality of infrared sensing means, and each of said infrared sensing means is spaced apart to identify a number of persons.

An intelligent traffic light control system according to claim 1, wherein: said person number detecting means is provided as a scale, and the weight is recognized by the weight of the scale.

The intelligent traffic light control system according to claim 9, wherein: after switching between the pedestrian policy and the driving strategy, the switching is performed after the first delay is delayed.