Digital traffic control system and method based on big data

Abstract

The present invention discloses a digital traffic control system and method based on big data, which relates to the field of intelligent traffic technology. By pre-collecting road information and personnel flow information in the city, using voltage sensors and wireless signal transceivers, the fault conditions of traffic lights in urban traffic are analyzed in real time. Further, when sending a traffic light fault signal, the position of the intersection that needs to be controlled is determined according to the number of the faulty traffic light, so as to screen out motor vehicles and non-motor vehicles or pedestrians that need traffic control from all city citizens; then, according to the driving conditions of motor vehicles and the positions of non-motor vehicles or pedestrians, the intersection where the faulty traffic light is located is intelligently controlled; and the problem of how to control traffic and ensure road safety when the traffic light at the intersection fails is solved.

Description

Technical Field

[0001] The present invention belongs to the field of intelligent transportation and relates to traffic control technology, specifically a digital traffic control system and method based on big data. Background Art

[0002] In the urban traffic system, traffic lights are important facilities for regulating traffic flow. However, due to various reasons, traffic lights may malfunction, leading to traffic congestion and safety hazards; especially in congested roads, since motor vehicles, non-motor vehicles and pedestrians do not understand the current status of traffic lights, they cannot form a unified action plan, which leads to rushing, congestion and collisions, and in serious cases, traffic accidents; therefore, there is a need for a method that allows motor vehicles, non-motor vehicles and pedestrians to understand the current status of traffic lights when traffic lights malfunction;

[0003] Therefore, a digital traffic control system and method based on big data is proposed. Summary of the invention

[0004] The present invention aims to solve at least one of the technical problems existing in the prior art. To this end, the present invention proposes a digital traffic control system and method based on big data, which solves the problem of how to control traffic and ensure road safety when a traffic light at an intersection fails.

[0005] To achieve the above-mentioned purpose, the first embodiment of the present invention provides the following technical solution: a digital traffic control system based on big data, including a city data collection module, a real-time traffic light data collection module, a crowd positioning module and a traffic control module; wherein each module is connected to each other by electrical and / or wireless network;

[0006] The city data collection module is mainly used to collect the road information and personnel flow information in the city in advance;

[0007] The road information in the city includes distribution data of roads in the city and distribution data of traffic lights on each road; wherein the road distribution data is the name and location of each road and the intersection relationship between roads; wherein the distribution data of traffic lights includes the intersection location of traffic lights and the traffic light number; wherein the traffic light number includes the intersection number and the direction number; the intersection number can be set according to the city road name; the direction number can be numbered in clockwise order;

[0008] The personnel flow information includes the circulation data of citizens in the city; the personnel circulation data is recorded by the mobile devices carried by citizens in the city, and the permanent location of each citizen is recorded; the permanent location can be set by setting the dwelling time threshold t and the dwelling days threshold d according to actual experience, and when the number of days a citizen has arrived at a certain location is greater than the dwelling days threshold d, and the dwelling time of each time is greater than the dwelling time threshold t, the location is marked as the permanent location of the citizen;

[0009] The city data collection module sends the collected road information and personnel flow information to the crowd positioning module;

[0010] Among them, the signal light data real-time collection module is mainly used to collect the fault conditions of traffic lights in urban traffic in real time;

[0011] The method in which the signal light data real-time collection module collects the fault conditions of traffic lights in urban traffic in real time is:

[0012] A voltage sensor is connected to the circuit of each traffic light at each intersection, and all voltage sensors at the same intersection are electrically connected to a wireless signal transceiver; when the voltage sensor senses that a voltage anomaly occurs in the circuit, and the duration of the voltage anomaly is greater than the abnormal duration threshold, an electrical signal is sent to the wireless signal transceiver; after the wireless signal transceiver receives the electrical signals sent by all voltage sensors at the intersection, a signal light fault signal is sent to the crowd positioning module; the signal light fault signal includes the serial number of the faulty signal light;

[0013] The crowd positioning module is mainly used to determine the location of the intersection that needs to be regulated according to the number of the faulty traffic light when receiving the signal of the traffic light fault, so as to further determine the crowd that needs traffic regulation;

[0014] The crowd positioning module determines the crowd that needs traffic control by positioning the motor vehicle crowd and the non-motor vehicle or pedestrian crowd;

[0015] Among them, the method of positioning the motor vehicle crowd is:

[0016] For a motor vehicle, a real-time image captured by a surveillance camera at an intersection where a malfunctioning traffic light is located is obtained, and the real-time image is marked as a first real-time image; and a real-time image captured by a surveillance camera at an intersection where traffic lights surrounding the traffic light are located is obtained, and the real-time image is marked as a second real-time image; the surrounding traffic lights refer to the traffic lights closest to the intersection where the malfunctioning traffic light is located, on the roads on both sides of two or more roads that intersect at the intersection where the malfunctioning traffic light is located;

[0017] According to the second real-time image, the driving direction of each motor vehicle is analyzed using computer vision technology. If the driving direction of the motor vehicle is the intersection where the faulty traffic light is located, the license plate and license plate number of the motor vehicle are identified using image recognition technology and OCR technology; the network address of the vehicle-mounted intelligent system corresponding to the license plate number is then queried through the background database; and a first control signal is sent to the traffic control module; wherein the first control signal includes the network address of the vehicle-mounted intelligent system of the identified motor vehicle;

[0018] According to the first real-time image, the lane where each motor vehicle is located is analyzed using computer vision technology, and then the license plate and license plate number of the motor vehicle are identified using image recognition technology and OCR technology; then the network address of the on-board intelligent system corresponding to the license plate number is queried through the background database; and a second control signal is sent to the traffic control module, wherein the second control signal includes the network address of the on-board intelligent system and the lane where the motor vehicle is located;

[0019] For non-motor vehicles or pedestrians, the crowd positioning module pre-sets a positioning distance threshold R; and pre-divides the crowd into citizen sets according to intersections; the method of dividing citizen sets according to intersections is as follows: for each intersection, count whether the permanent location of each city citizen is within the distance threshold R from the intersection, and if so, divide the city citizen into the citizen set corresponding to the intersection; when the traffic light at the intersection fails, retrieve the citizen set corresponding to the intersection, and obtain the positioning information and moving direction of the mobile device of each citizen in the citizen set, and filter out the citizens whose positioning information and moving direction are in the direction of the failed traffic light, and whose corresponding license plate number in the database is not included in the first real-time image and the second real-time image, and send a third control signal to the traffic control module; wherein the third control signal includes the network address of the mobile device of the filtered citizen;

[0020] The traffic control module is mainly used to intelligently control the intersection where the traffic light fails;

[0021] The traffic control module intelligently controls the intersection where the failed traffic light is located, including the following steps:

[0022] Step S1: recalculate the state of each traffic light according to the state and remaining time of the failed traffic light before the failure; the state refers to the real-time state and remaining time of each traffic light if the traffic light has not failed; the state refers to the on / off state of the traffic light; the remaining time refers to the remaining time to maintain the current state;

[0023] Step S2: after receiving the first control signal, the traffic control module sends a deceleration instruction to the network address of the vehicle-mounted intelligent system contained in the first control signal;

[0024] Step S3: After receiving the second control signal, the traffic control module determines the driving route of each motor vehicle according to the lane where the motor vehicle is located, and sends the traffic light status and remaining time corresponding to the driving route direction to the on-board intelligent system of the corresponding motor vehicle according to the driving route;

[0025] Step S4: After receiving the third control signal, the traffic control module sends the status of each traffic light at the current intersection to the network address of the mobile device of the screened citizen, and displays it visually on the mobile device.

[0026] Embodiment 2 of the present invention provides the following technical solution, a digital traffic control method based on big data, comprising the following steps:

[0027] Step 1: pre-collecting road information and personnel flow information in the city; the road information in the city includes distribution data of roads in the city and distribution data of traffic lights on each road; the personnel flow information includes circulation data of citizens in the city;

[0028] Step 2: Using voltage sensors and wireless signal transceivers to analyze the fault conditions of traffic lights in urban traffic in real time;

[0029] Step 3: When a traffic light failure is reported, the intersection that needs to be regulated is determined according to the number of the failed traffic light, so as to further select motor vehicles, non-motor vehicles or pedestrians that need traffic regulation from all city citizens;

[0030] Step 4: Based on the driving conditions of motor vehicles and the positions of non-motor vehicles or pedestrians, a visual display of the traffic light's status is provided to motor vehicles, non-motor vehicles or pedestrians at the intersection where the faulty traffic light is located, so as to achieve intelligent control.

[0031] Compared with the prior art, the present invention has the following beneficial effects:

[0032] The present invention collects the permanent location and motor vehicle registration information of each city citizen in advance. When a traffic light at an intersection fails, the present invention first analyzes the motor vehicle to be regulated based on the real-time images taken by the surveillance cameras at the intersections where the surrounding traffic lights are located, and sends a deceleration command to the motor vehicle to be regulated. Then, at the intersection where the faulty traffic light is located, the corresponding traffic light status is sent to the motor vehicle according to the lane where the motor vehicle is located. For non-motor vehicles or pedestrians, the present invention selects the citizens whose positions and directions correspond to the intersection where the faulty traffic light is located and who are not driving a motor vehicle based on the citizen collection pre-divided by intersection, and visually displays the current status of the faulty traffic light to these citizens.

[0033] (1) The present invention first analyzes the real-time images captured by the surveillance cameras at the intersections where the surrounding traffic lights are located. On the one hand, the motor vehicle is slowed down to reduce the probability of accidents in the event of a traffic light failure. On the other hand, more sufficient computing time can be provided for the analysis of the first real-time image.

[0034] (2) The present invention determines the direction of travel of each motor vehicle by analyzing the lane in which each motor vehicle is located, and displays the corresponding lane traffic signal light status to the driver, making it easier for the driver to make operational judgments;

[0035] (3) The present invention avoids traversing the addresses of all citizens in the city by dividing the citizens into groups, thus reducing the search cost and time. Although omissions may occur to a certain extent, when there are a large number of non-motor vehicles or pedestrians at the intersection, there is still a high probability that a citizen will receive the status information. Due to the herd mentality of people, if most citizens receive the information, it can be guaranteed that the missed citizens will act according to the corresponding status of the traffic light. When there are a small number of non-motor vehicles or pedestrians at the intersection, it means that there are fewer vehicles and pedestrians at the intersection, and the possibility of danger is also small. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 A diagram showing the connection relationship of modules of a digital traffic control system in a first embodiment of the present invention;

[0037] Figure 2 This is a flow chart of the digital traffic control method in the second embodiment of the present invention. DETAILED DESCRIPTION

[0038] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention. Example

[0039] like Figure 1 As shown, the digital traffic control system based on big data described in this embodiment includes a city data collection module, a real-time traffic light data collection module, a crowd positioning module and a traffic control module; wherein each module is connected through an electrical and / or wireless network;

[0040] The city data collection module is mainly used to collect the road information and personnel flow information in the city in advance;

[0041] In a preferred embodiment, the road information in the city includes distribution data of roads in the city and distribution data of traffic lights in each road; wherein the distribution data of the roads are the name and location of each road and the intersection relationship between roads; wherein the distribution data of the traffic lights include the intersection location of the traffic lights and the traffic light number; it can be understood that at the road intersection, the traffic lights are arranged in groups, for example, at the crossroads, the number of traffic lights is 4; wherein the traffic light number includes the intersection number and the position number; the intersection number can be set according to the city road name; the position number can be numbered in clockwise order;

[0042] Further, the personnel flow information includes the circulation data of citizens in the city; the personnel circulation data is recorded by the mobile devices carried by the citizens in the city, and the permanent location of each citizen is recorded; preferably, the permanent location can be set by setting the dwelling time threshold t and the dwelling days threshold d according to actual experience, and when the number of days a citizen has arrived at a certain location is greater than the dwelling days threshold d, and the dwelling time each time is greater than the dwelling time threshold t, the location is marked as the permanent location of the citizen; preferably, the circulation data of the citizens in the city can be updated regularly;

[0043] The city data collection module sends the collected road information and personnel flow information to the crowd positioning module;

[0044] Among them, the signal light data real-time collection module is mainly used to collect the fault conditions of traffic lights in urban traffic in real time;

[0045] In a preferred embodiment, the signal light data real-time collection module collects the fault conditions of traffic lights in urban traffic in real time in the following manner:

[0046] A voltage sensor is connected to the circuit of each traffic light at each intersection, and all voltage sensors at the same intersection are electrically connected to a wireless signal transceiver; when the voltage sensor senses a voltage anomaly in the circuit, and the duration of the voltage anomaly is greater than the abnormal duration threshold, an electrical signal is sent to the wireless signal transceiver; wherein the voltage anomaly may be a sudden increase or decrease in the voltage value, and a voltage value that is continuously greater than the maximum voltage or less than the minimum voltage; after the wireless signal transceiver receives the electrical signals sent by all voltage sensors at the intersection, it sends a signal light fault signal to the crowd positioning module; the signal light fault signal includes the number of the faulty signal light;

[0047] The crowd positioning module is mainly used to determine the location of the intersection that needs to be regulated according to the number of the faulty traffic light when receiving the signal of the traffic light fault, so as to further determine the crowd that needs traffic regulation;

[0048] In a preferred embodiment, the crowd positioning module determines the crowd that needs traffic control by positioning the motor vehicle crowd and the non-motor vehicle or pedestrian crowd;

[0049] Among them, the method of positioning the motor vehicle crowd is:

[0050] It is understandable that the accuracy of surveillance cameras at road intersections is limited, and it is difficult to identify the license plates of motor vehicles at a distance; therefore, if the speed of motor vehicles is high, relying on the surveillance cameras at the intersection where the faulty traffic lights are located to identify the motor vehicles and further analyze them may cause delays in traffic control;

[0051] For a motor vehicle, a real-time image captured by a surveillance camera at an intersection where a malfunctioning traffic light is located is obtained, and the real-time image is marked as a first real-time image; and a real-time image captured by a surveillance camera at an intersection where traffic lights surrounding the traffic light are located is obtained, and the real-time image is marked as a second real-time image; the surrounding traffic lights refer to the traffic lights closest to the intersection where the malfunctioning traffic light is located, on the roads on both sides of two or more roads that intersect at the intersection where the malfunctioning traffic light is located;

[0052] According to the second real-time image, the driving direction of each motor vehicle is analyzed using computer vision technology. If the driving direction of the motor vehicle is the intersection where the faulty traffic light is located, the license plate and license plate number of the motor vehicle are identified using image recognition technology and OCR technology; then the network address of the vehicle-mounted intelligent system corresponding to the license plate number is queried through the background database; and a first control signal is sent to the traffic control module; wherein the first control signal includes the network address of the vehicle-mounted intelligent system of the identified motor vehicle; it can be understood that the motor vehicle appearing in the second real-time image at this time will appear in the first real-time image;

[0053] According to the first real-time image, the lane where each motor vehicle is located is analyzed using computer vision technology, and then the license plate and license plate number of the motor vehicle are identified using image recognition technology and OCR technology; then the network address of the on-board intelligent system corresponding to the license plate number is queried through the background database; and a second control signal is sent to the traffic control module, wherein the second control signal includes the network address of the on-board intelligent system and the lane where the motor vehicle is located;

[0054] In a preferred embodiment, for non-motor vehicles or pedestrians, the crowd positioning module pre-sets a positioning distance threshold R; and pre-divides the crowd into citizen sets according to intersections; the way to divide the citizen sets according to intersections is: for each intersection, count whether the permanent location of each city citizen is within the distance threshold R from the intersection, and if so, divide the city citizen into the citizen set corresponding to the intersection; when the traffic light at the intersection fails, call the citizen set corresponding to the intersection, and obtain the positioning information and moving direction of the mobile device of each citizen in the citizen set, and filter out the citizens whose positioning information and moving direction are in the direction of the failed traffic light, and whose corresponding license plate number in the database is not included in the first real-time image and the second real-time image, and send a third control signal to the traffic control module; wherein the third control signal includes the network address of the mobile device of the filtered citizen; it can be understood that by dividing the citizen set, the traversal of the addresses of citizens in the entire city is avoided, and the retrieval cost and time are reduced;

[0055] The traffic control module is mainly used to intelligently control the intersection where the traffic light fails;

[0056] In a preferred embodiment, the traffic control module intelligently controls the intersection where the failed traffic light is located, including the following steps:

[0057] Step S1: recalculate the state of each traffic light according to the state and remaining time of the failed traffic light before the failure; the state refers to the real-time state and remaining time of each traffic light if the traffic light has not failed; the state refers to the on / off state of the traffic light; the remaining time refers to the remaining time to maintain the current state;

[0058] Step S2: after receiving the first control signal, the traffic control module sends a deceleration instruction to the network address of the vehicle-mounted intelligent system contained in the first control signal; it can be understood that, on the one hand, decelerating the motor vehicle can reduce the probability of an accident in the event of a traffic light failure, and on the other hand, it can provide more sufficient computing time for the analysis of the first real-time image;

[0059] Step S3: After receiving the second control signal, the traffic control module determines the driving route of each motor vehicle according to the lane where the motor vehicle is located, and sends the traffic light status and remaining time corresponding to the driving route direction to the on-board intelligent system of the corresponding motor vehicle according to the driving route;

[0060] Step S4: After receiving the third control signal, the traffic control module sends the status of each traffic light at the current intersection to the network address of the mobile device of the screened citizen, and displays it visually on the mobile device; the visual display can be in the form of a three-dimensional diagram. Example

[0061] like Figure 2 As shown, the digital traffic control method based on big data described in this embodiment includes the following steps:

[0062] Step 1: pre-collecting road information and personnel flow information in the city; the road information in the city includes distribution data of roads in the city and distribution data of traffic lights on each road; the personnel flow information includes circulation data of citizens in the city;

[0063] Step 2: Using voltage sensors and wireless signal transceivers to analyze the fault conditions of traffic lights in urban traffic in real time;

[0064] Step 3: When a traffic light failure is reported, the intersection that needs to be regulated is determined according to the number of the failed traffic light, so as to further select motor vehicles, non-motor vehicles or pedestrians that need traffic regulation from all city citizens;

[0065] Step 4: Based on the driving conditions of motor vehicles and the positions of non-motor vehicles or pedestrians, a visual display of the traffic light's status is provided to motor vehicles, non-motor vehicles or pedestrians at the intersection where the faulty traffic light is located, so as to achieve intelligent control.

[0066] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A digital traffic control system based on big data, characterized by: It includes a city data collection module, a real-time traffic light data collection module, a crowd positioning module and a traffic control module; wherein each module is connected through an electrical and / or wireless network; The city data collection module is used to collect road information and personnel flow information in the city in advance; and send the collected road information and personnel flow information to the crowd positioning module; The signal light data real-time collection module is used to collect the fault conditions of traffic lights in urban traffic in real time; and when a traffic light fails, it sends a signal light fault signal to the crowd positioning module; The crowd positioning module is used to determine the location of the intersection that needs to be regulated according to the number of the failed traffic light when receiving the signal of the traffic light failure, so as to determine the crowd that needs traffic regulation; the crowd positioning module determines the crowd that needs traffic regulation in a manner including positioning the motor vehicle crowd and the non-motor vehicle or pedestrian crowd; The traffic control module is mainly used for intelligently controlling the intersection where the traffic light with a fault is located according to the first control signal, the second control signal and the third control signal sent by the crowd positioning module; The positioning method for motor vehicle crowd is as follows: For a motor vehicle, a real-time image captured by a surveillance camera at an intersection where a malfunctioning traffic light is located is obtained, and the real-time image is marked as a first real-time image; and a real-time image captured by a surveillance camera at an intersection where traffic lights surrounding the traffic light are located is obtained, and the real-time image is marked as a second real-time image; the surrounding traffic lights refer to the traffic lights closest to the intersection where the malfunctioning traffic light is located, on the roads on both sides of two or more roads that intersect at the intersection where the malfunctioning traffic light is located; According to the second real-time image, the driving direction of each motor vehicle is analyzed using computer vision technology. If the driving direction of the motor vehicle is the intersection where the faulty traffic light is located, the license plate and license plate number of the motor vehicle are identified using image recognition technology and OCR technology; the network address of the vehicle-mounted intelligent system corresponding to the license plate number is then queried through the background database; and a first control signal is sent to the traffic control module; wherein the first control signal includes the network address of the vehicle-mounted intelligent system of the identified motor vehicle; According to the first real-time image, the lane where each motor vehicle is located is analyzed using computer vision technology, and then the license plate and license plate number of the motor vehicle are identified using image recognition technology and OCR technology; then the network address of the on-board intelligent system corresponding to the license plate number is queried through the background database; and a second control signal is sent to the traffic control module, wherein the second control signal includes the network address of the on-board intelligent system and the lane where the motor vehicle is located; For non-motor vehicles or pedestrians, the crowd positioning module pre-sets a positioning distance threshold R; and pre-divides the crowd into citizen sets according to intersections; the method of dividing citizen sets according to intersections is as follows: for each intersection, count whether the permanent location of each city citizen is within the distance threshold R from the intersection, and if so, divide the city citizen into the citizen set corresponding to the intersection; when the traffic light at the intersection fails, retrieve the citizen set corresponding to the intersection, and obtain the positioning information and moving direction of the mobile device of each citizen in the citizen set, and filter out the citizens whose positioning information and moving direction are in the direction of the failed traffic light, and whose corresponding license plate number in the database is not included in the first real-time image and the second real-time image, and send a third control signal to the traffic control module; wherein the third control signal includes the network address of the mobile device of the filtered citizen; The traffic control module intelligently controls the intersection where the failed traffic light is located, including the following steps: Recalculate the status of each traffic light according to the status and remaining duration of the traffic light before the failure; the status refers to the real-time status and remaining duration of each traffic light if the traffic light has not failed; the status refers to the on / off status of the traffic light; the remaining duration refers to the remaining duration of maintaining the current status; After receiving the first control signal, the traffic control module sends a deceleration instruction to the network address of the vehicle-mounted intelligent system contained in the first control signal; After receiving the second control signal, the traffic control module determines the driving route of each motor vehicle according to the lane where the motor vehicle is located, and sends the traffic light status and remaining time corresponding to the driving route direction to the on-board intelligent system of the corresponding motor vehicle according to the driving route; After receiving the third control signal, the traffic control module sends the status of each traffic light at the current intersection to the network address of the mobile device of the screened citizen, and displays it visually on the mobile device.

2. The digital traffic control system based on big data according to claim 1 is characterized in that: The road information in the city includes distribution data of roads in the city and distribution data of traffic lights on each road; wherein the road distribution data is the name and location of each road and the intersection relationship between roads; wherein the traffic light distribution data includes the intersection location of the traffic light and the traffic light number.

3. The digital traffic control system based on big data according to claim 1 is characterized in that: The personnel flow information includes the circulation data of citizens in the city; the personnel circulation data is the permanent location of each citizen recorded through the mobile devices carried by citizens in the city; the permanent location can be set by setting the stay time threshold t and the stay days threshold d according to actual experience. When the number of days a citizen arrives at a certain location is greater than the stay days threshold d, and the length of each stay is greater than the stay time threshold t, the location is marked as the permanent location of the citizen.

4. The digital traffic control system based on big data according to claim 1 is characterized in that: The method in which the signal light data real-time collection module collects the fault conditions of traffic lights in urban traffic in real time is: A voltage sensor is connected to the circuit of each traffic light at each intersection, and all voltage sensors at the same intersection are electrically connected to a wireless signal transceiver; when the voltage sensor senses a voltage anomaly in the circuit, and the duration of the voltage anomaly is greater than the abnormal duration threshold, an electrical signal is sent to the wireless signal transceiver; after the wireless signal transceiver receives the electrical signals sent by all voltage sensors at the intersection, it sends a traffic light fault signal to the crowd positioning module.

5. The digital traffic control method of the digital traffic control system based on big data according to claims 1-4, characterized in that: The following steps are involved: Step 1: Collect road information and personnel flow information in the city in advance; Step 2: Using voltage sensors and wireless signal transceivers to analyze the fault conditions of traffic lights in urban traffic in real time; Step 3: When a traffic light failure is reported, the intersection that needs to be regulated is determined according to the number of the failed traffic light, so as to select motor vehicles, non-motor vehicles or pedestrians that need traffic regulation from all city citizens; Step 4: Based on the driving conditions of motor vehicles and the positions of non-motor vehicles or pedestrians, a visual display of the continued status of the traffic light is provided to motor vehicles, non-motor vehicles or pedestrians at the intersection where the faulty traffic light is located.

Images