WO2018107744A1 - Système de commande de feu de circulation intelligent - Google Patents

Système de commande de feu de circulation intelligent Download PDF

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Publication number
WO2018107744A1
WO2018107744A1 PCT/CN2017/093276 CN2017093276W WO2018107744A1 WO 2018107744 A1 WO2018107744 A1 WO 2018107744A1 CN 2017093276 W CN2017093276 W CN 2017093276W WO 2018107744 A1 WO2018107744 A1 WO 2018107744A1
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WO
WIPO (PCT)
Prior art keywords
traffic
pedestrian
fault
strategy
control signal
Prior art date
Application number
PCT/CN2017/093276
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English (en)
Chinese (zh)
Inventor
陈金锋
谭斯月
Original Assignee
广州二通通信科技有限公司
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by 广州二通通信科技有限公司 filed Critical 广州二通通信科技有限公司
Publication of WO2018107744A1 publication Critical patent/WO2018107744A1/fr

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Classifications

    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/07—Controlling traffic signals
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/005—Traffic control systems for road vehicles including pedestrian guidance indicator

Definitions

  • the present invention relates to a traffic light control system, and in particular to an intelligent traffic light control system.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • an object of the present invention is to provide a type that can effectively prevent traffic congestion.
  • 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.
  • 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.
  • a 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
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • the number of people detecting device is set as a scale, and the weight is recognized by the weight of the scale.
  • 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.
  • 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 fault feedback terminal can be a mobile terminal and a computer.
  • 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
  • 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.
  • the corresponding straight green light ⁇ 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • the period between the allowable transit time and the prohibition pass time of each traffic node 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 ⁇ , 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.
  • 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.
  • 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;
  • 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.
  • the pedestrian policy and the driving strategy are switched, the delay is delayed after the first delay.
  • a pyroelectric sensor or an infrared sensor is set, and the pedestrian is detected by an infrared sensor or a pyroelectric sensor.
  • the pyroelectric sensor outputs a signal, and enters a pedestrian strategy, for example, a pedestrian strategy and
  • 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
  • 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,
  • delay for example, 10 seconds
  • the semaphore starts counting and allows pedestrians to pass after a delay (for example, 10 seconds).
  • [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.
  • each intersection corresponds to 1-2 adjacent traffic lights.
  • 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.

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Traffic Control Systems (AREA)

Abstract

L'invention concerne un système de commande de feu de circulation intelligent comprenant une plateforme en nuage et chaque nœud de trafic connecté à la plateforme en nuage, chaque nœud de trafic comprenant une pluralité de feux de signalisation pour véhicules et/ou de feux de signalisation pour piétons, le nœud de trafic étant équipé d'un module de communication, la plateforme en nuage commandant l'état d'indication des feux de signalisation pour véhicules et/ou des feux de signalisation pour piétons au moyen du module de communication afin de contrôler le temps de passage admissible, et la politique de contrôle de temps de chaque nœud de trafic comprenant une politique pour véhicules et une politique pour piétons. Le nœud de trafic est pourvu d'un capteur corporel et, lorsque le capteur corporel détecte un piéton, le feu de signalisation pour véhicules et le feu de signalisation pour piétons correspondant sont commandés par la politique pour piétons. Lorsque le capteur corporel n'a pas détecté de corps pendant une certaine période, le feu de signalisation pour véhicules et le feu de signalisation pour piétons sont commandés par la politique pour véhicules.
PCT/CN2017/093276 2016-12-12 2017-07-18 Système de commande de feu de circulation intelligent WO2018107744A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201611139855.8A CN106530753B (zh) 2016-12-12 2016-12-12 一种智能交通灯控制系统
CN201611139855.8 2016-12-12

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WO2018107744A1 true WO2018107744A1 (fr) 2018-06-21

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CN106530753B (zh) * 2016-12-12 2019-04-30 广州二通通信科技有限公司 一种智能交通灯控制系统
CN107146425A (zh) * 2017-05-04 2017-09-08 深圳市元征科技股份有限公司 一种交通控制方法及装置
US10373501B2 (en) * 2017-05-10 2019-08-06 Aptiv Technologies Limited Automated vehicle control strategy for pedestrian crowds
CN107331165A (zh) * 2017-06-03 2017-11-07 山东星志智能交通科技有限公司 基于大数据的城市交通拥堵控制系统
CN107610488B (zh) * 2017-10-25 2020-12-15 长安大学 一种交通信号灯自动控制方法
CN110264735B (zh) * 2019-06-28 2021-11-30 佛山科学技术学院 一种基于大数据的交通拥堵预测系统、方法及存储介质
CN110335479B (zh) * 2019-07-02 2020-10-09 华人运通(上海)自动驾驶科技有限公司 虚拟斑马线投影控制方法、装置和虚拟斑马线投影系统
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CN114463982B (zh) * 2020-06-30 2023-09-29 北京百度网讯科技有限公司 交通设施控制方法、装置、设备和介质
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