V2X-based traffic control system and traffic control method

Abstract

The invention provides a traffic control system and a traffic control method based on V2X, the system comprises a traffic signal control device and a central control unit, the traffic signal control device is in communication connection with the central control unit, and the traffic signal control device is used for receiving road condition information, vehicle information and pedestrian information and sending the road condition information, the vehicle information and the pedestrian information to the central control unit. The road condition information, the vehicle information and the pedestrian information are sent to the central control unit; and the central control unit is used for receiving the road condition information, the vehicle information and the pedestrian information, performing traffic optimization in combination with a traffic flow prediction model to obtain a guidance signal, and transmitting the guidance signal to traffic signal control equipment to perform optimization management on traffic signal lamps. According to the invention, the control of the traffic lights is realized, and the traffic safety and smooth passage of pedestrians and vehicles are ensured.

Description

Technical Field

[0001] The present application relates to the field of intelligent transportation technology, and more specifically, to a traffic control system and a traffic control method based on V2X. Background Art

[0002] Currently, traditional traffic light control systems rely on preset time cycles to regulate traffic flow, and are usually unable to respond to the actual conditions of pedestrians and vehicles in real time. This can lead to traffic congestion or safety hazards for pedestrians when crossing the road.

[0003] Scenario 1: During peak hours at a city intersection, fixed signal cycles cause traffic congestion.

[0004] Scenario 2: At the zebra crossing in front of a school, the fixed green light time cannot be adjusted according to the number of pedestrians, resulting in unnecessary delays.

[0005] Scenario 3: During periods of low traffic volume, due to inflexible signal control, the waiting time for red lights is too long, while the green light cycle is short but the traffic volume is small, which reduces road traffic efficiency, causes driver dissatisfaction, and may increase the risk of violations.

[0006] In summary, unreasonable signal control during non-peak hours leads to unnecessary traffic delays and a series of negative impacts, fails to solve complex traffic needs, and easily causes vehicles and pedestrians to wait excessively. Summary of the invention

[0007] In view of this, the purpose of the present application is to provide a V2X-based traffic control system and a traffic control method to overcome at least one of the above-mentioned defects.

[0008] In a first aspect, an embodiment of the present application provides a V2X-based traffic control system, the system comprising: a traffic signal control device and a central control unit, the traffic signal control device being communicatively connected to the central control unit, the traffic signal control device being used to receive road condition information, vehicle information, and pedestrian information, and send the road condition information, vehicle information, and pedestrian information to the central control unit; the central control unit being used to receive the road condition information, vehicle information, and pedestrian information, perform traffic optimization in combination with a traffic flow prediction model, obtain a guidance signal, and transmit the guidance signal to the traffic signal control device to optimize the management of traffic lights.

[0009] In an optional embodiment of the present application, the traffic control system also includes: vehicle-mounted equipment and a pedestrian detection system, wherein the vehicle-mounted equipment is installed in each vehicle, and the pedestrian detection system is arranged on both sides of the road, and the vehicle-mounted equipment of each vehicle is communicatively connected with the pedestrian detection system, wherein the vehicle-mounted equipment is used to collect vehicle information of the vehicle itself and send the vehicle information to the traffic signal control device; the pedestrian detection system is used to collect road condition information and pedestrian information, and send the road condition information and pedestrian information to the traffic signal control device.

[0010] In an optional embodiment of the present application, the traffic control system also includes: a cloud data processing and analysis platform, which is communicatively connected to the central control unit, wherein the cloud data processing and analysis platform is used to receive the road condition information, vehicle information and pedestrian information from the central control unit, input the road condition information, the vehicle information and the pedestrian information into the traffic flow prediction model, obtain the recommended duration of the traffic light, and send the recommended duration to the central control unit; the central control unit is also used to receive the recommended duration from the cloud data processing and analysis platform, generate the guidance signal according to the recommended duration, and transmit the guidance signal to the traffic signal control device.

[0011] In an optional embodiment of the present application, the vehicle-mounted device includes a V2X module, and the V2X module is communicatively connected to the traffic signal control device, wherein the V2X module is used to send the collected vehicle information to the traffic signal control device.

[0012] In an optional embodiment of the present application, the traffic signal control device is further configured to: receive the guidance signal generated by the central control unit, and generate corresponding traffic light instructions to control the duration of the traffic light, wherein the guidance signal includes the type of traffic light and the duration information of each type.

[0013] In an optional embodiment of the present application, the traffic signal control device includes: a signal transmitter and a signal receiver, wherein the signal transmitter is used to periodically broadcast the traffic signal status to the vehicle-mounted device according to the traffic light instruction, and the traffic signal status includes the status of the traffic light at the preset position of the current vehicle where the vehicle-mounted device is located and the remaining duration of the traffic light; the signal receiver is used to receive vehicle information transmitted by the vehicle-mounted device, road condition information and pedestrian information transmitted by the pedestrian detection system, and transmit the vehicle information, the road condition information and the pedestrian information to the central control unit.

[0014] In an optional embodiment of the present application, the central control unit is further configured to: evaluate the priority of pedestrians and vehicles based on the recommended duration of the traffic light, and send the priority signal value to the traffic signal control device to control and adjust the switching timing of the traffic light through the traffic signal control device.

[0015] In an optional embodiment of the present application, the cloud data processing and analysis platform is further configured to: obtain a training sample set, the training sample set including multiple training samples, each training sample including sample road condition information, sample vehicle information, sample pedestrian information and sample recommended duration; use the sample road condition information, sample vehicle information and sample pedestrian information as input of an initial traffic flow prediction model, and use the sample recommended duration as output of the initial traffic flow prediction model to train the initial traffic flow prediction model.

[0016] In the second aspect, an embodiment of the present application also provides a V2X-based traffic control method, which is applied to a V2X-based traffic control system. The V2X-based traffic control system includes a traffic signal control device and a central control unit. The traffic signal control device is communicatively connected to the central control unit. The method includes: the traffic signal control device is used to receive road condition information, vehicle information and pedestrian information, and send the road condition information, vehicle information and pedestrian information to the central control unit; the central control unit is used to receive the road condition information, vehicle information and pedestrian information, and optimize traffic in combination with a traffic flow prediction model to obtain a guidance signal, and transmit the guidance signal to the traffic signal control device to optimize the management of traffic lights.

[0017] In a third aspect, an embodiment of the present application further provides an electronic device, comprising: a processor, a memory and a bus, wherein the memory stores machine-readable instructions executable by the processor, and when the electronic device is running, the processor and the memory communicate via the bus, and when the machine-readable instructions are executed by the processor, the steps of the method described above are performed.

[0018] The V2X-based traffic control system and traffic control method provided in the embodiment of the present application include a traffic signal control device and a central control unit. The traffic signal control device is connected to the central control unit in communication. The traffic signal control device is used to receive road condition information, vehicle information, and pedestrian information, and send the road condition information, vehicle information, and pedestrian information to the central control unit; the central control unit is used to receive road condition information, vehicle information, and pedestrian information, and optimize traffic in combination with a traffic flow prediction model to obtain a guidance signal, and transmit the guidance signal to the traffic signal control device to optimize the management of traffic lights. Through this application, the control of traffic lights is achieved to ensure the traffic safety and smooth passage of pedestrians and vehicles.

[0019] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, preferred embodiments are specifically cited below and described in detail with reference to the attached drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0021] Figure 1 One of the structural schematic diagrams of the V2X-based traffic control system provided in an embodiment of the present application;

[0022] Figure 2 The second structural diagram of the V2X-based traffic control system provided in the embodiment of the present application;

[0023] Figure 3 A flow chart of a traffic control method provided in an embodiment of the present application;

[0024] Figure 4 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0025] To make the purpose, technical scheme and advantages of the embodiments of the present application clearer, the technical scheme in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. The components of the embodiments of the present application usually described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the application claimed for protection, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, each other embodiment obtained by those skilled in the art without making creative work belongs to the scope of protection of the present application.

[0026] First, the application scenarios to which the present application is applicable are introduced. The present application can be applied in the field of intelligent transportation technology.

[0027] Research has found that traditional traffic light control systems rely on preset time periods to adjust traffic flow. Although this control method is simple and easy to implement, it has several significant shortcomings. For example, it cannot solve complex traffic needs, cannot dynamically adjust according to real-time traffic and pedestrian flows, cannot meet the needs of all lanes and directions, and easily leads to problems such as excessive waiting of vehicles and pedestrians in certain directions. The specific scenarios are as follows:

[0028] Scenario 1: Peak hours at a city intersection;

[0029] At busy urban intersections, traditional traffic light control systems may set fixed signal cycles. For example, the red light lasts for 60 seconds, the green light lasts for 60 seconds, and the yellow light lasts for 5 seconds. Assuming that the traffic volume at the intersection increases during peak hours, vehicles cannot completely pass through the intersection during each green light cycle, resulting in longer and longer queues at the intersection and traffic congestion. Vehicles are stuck during the red light period, and cannot pass smoothly during the green light period due to excessive traffic volume, resulting in reduced overall traffic flow.

[0030] Scene 2: Zebra crossing at the school gate;

[0031] During school dismissal time, many students gather near zebra crossings. Since the fixed green light time cannot be adjusted according to the number of pedestrians, the green light ends before students have completely crossed the zebra crossing, forcing them to stop on the road, increasing the risk of being hit by vehicles. Or, due to insufficient green light time, students wait too long to cross the road, which may cause students and parents to gather at the intersection while waiting, increasing the risk of traffic chaos.

[0032] Scenario 3: Unnecessary delays during off-peak hours;

[0033] During periods of low traffic volume, vehicles have to wait longer at red lights, while the green light cycle is shorter but the traffic volume is low, resulting in unnecessary delays. This inflexible signal control method not only reduces the road's traffic efficiency, but may also cause drivers to feel dissatisfied during the waiting process, increasing the risk of violations.

[0034] Based on this, the embodiment of the present application provides a traffic control system and a traffic control method based on V2X, the system includes a traffic signal control device and a central control unit, the traffic signal control device is communicatively connected with the central control unit, the traffic signal control device is used to receive road condition information, vehicle information and pedestrian information, and send the road condition information, vehicle information and pedestrian information to the central control unit; the central control unit is used to receive road condition information, vehicle information and pedestrian information, and optimize traffic in combination with the traffic flow prediction model to obtain a guidance signal, and transmit the guidance signal to the traffic signal control device to optimize the management of traffic lights. Through this application, the control of traffic lights is realized, the traffic safety and smooth passage of pedestrians and vehicles are guaranteed, traffic safety is improved, real-time pedestrian detection, traffic accidents are reduced, intelligent signal control, dynamic adjustment of signal cycle, reduction of vehicle idling, and encouragement of public transportation and non-motorized transportation.

[0035] See also Figure 1 , Figure 1 This is one of the structural diagrams of the V2X-based traffic control system provided in the embodiment of the present application. Figure 1 As shown in , the V2X-based traffic control system 10 provided in an embodiment of the present application includes: a traffic signal control device 11 and a central control unit 12.

[0036] The traffic signal control device 11 is used to receive road condition information, vehicle information and pedestrian information, and send the road condition information, vehicle information and pedestrian information to the central control unit 12;

[0037] The central control unit 12 is used to receive road condition information, vehicle information and pedestrian information, and optimize traffic in combination with the traffic flow prediction model to obtain a guidance signal, and transmit the guidance signal to the traffic signal control device to optimize the management of the traffic lights.

[0038] Here, the traffic signal control equipment can receive road condition information, vehicle information and pedestrian information in real time to ensure the timeliness and accuracy of the data. The central control unit uses these real-time data, combined with the traffic flow prediction model, to dynamically adjust the timing of traffic lights to adapt to traffic needs in different time periods and traffic conditions. By optimizing the timing of traffic lights, the waiting time of vehicles and pedestrians at intersections can be reduced and traffic smoothness can be improved, which helps to reduce traffic congestion, improve road capacity, and thus improve urban traffic efficiency as a whole.

[0039] At the same time, real-time traffic monitoring and signal optimization can help reduce the occurrence of traffic accidents. For example, when pedestrians are detected crossing the road, traffic lights can be adjusted in time to ensure the safe passage of pedestrians. By optimizing traffic flow, conflicts and collision risks between vehicles can be reduced.

[0040] See also Figure 2 , Figure 2 This is a second structural diagram of a V2X-based traffic control system provided in an embodiment of the present application. Figure 2 As shown in , the V2X-based traffic control system 10 provided in the embodiment of the present application also includes: a vehicle-mounted device 21, a pedestrian detection system 22, a cloud data processing and analysis platform 23, a V2X module 211, a signal transmitter 111 and a signal receiver 112.

[0041] A vehicle-mounted device 21 is installed in each vehicle, and a pedestrian detection system 22 is set on both sides of the road. The vehicle-mounted device 21 of each vehicle is communicatively connected with the pedestrian detection system 22, wherein the vehicle-mounted device 21 is used to collect vehicle information of the vehicle itself and send the vehicle information to the traffic signal control device 11; the pedestrian detection system 22 is used to collect road condition information and pedestrian information, and send the road condition information and pedestrian information to the traffic signal control device 11.

[0042] The main function of the vehicle-mounted equipment 21 is to collect information about the vehicle itself, including but not limited to the vehicle's speed, location, driving direction, vehicle model, etc. These devices can communicate with the traffic signal control device 11 and send the collected vehicle information to the traffic signal control device 11 in real time.

[0043] The pedestrian detection system 22 is set up on both sides of the road so as to comprehensively monitor the road conditions. The main task of the pedestrian detection system is to collect road condition information (such as road congestion, vehicle flow speed, etc.) and pedestrian information (such as pedestrian position, movement direction, number, etc.). These systems can also communicate with the traffic signal control device 11 and send the collected road condition information and pedestrian information to the traffic signal control device 11 in real time.

[0044] The pedestrian detection system 22 is composed of high-definition cameras, radar sensors, lidar and other sensor devices. Pedestrian images are captured by video surveillance cameras, and computer vision technology is used for real-time detection and identification. Millimeter-wave radar can be used to effectively detect pedestrians in various weather conditions. The distance between traffic lights and pedestrians is measured to provide high-precision spatial positioning information of pedestrians for real-time monitoring, detection and tracking of pedestrians near zebra crossings.

[0045] The traffic signal control device 11 is responsible for receiving information from the vehicle-mounted device 21 and the pedestrian detection system 22. Based on the received information, the traffic signal control device 11 can adjust the timing of traffic lights in real time, optimize traffic flow, reduce congestion, and ensure the safety of pedestrians and vehicles.

[0046] Through real-time data transmission between the vehicle-mounted equipment 21 and the pedestrian detection system 22, the traffic signal control equipment can respond quickly to changes in traffic conditions. The system can monitor the position and movement of pedestrians and vehicles in real time, which helps prevent traffic accidents. By optimizing the timing of traffic lights, the system can reduce traffic congestion and improve road traffic efficiency.

[0047] Specifically, the cloud data processing and analysis platform 23 is in communication with the central control unit 12, wherein the cloud data processing and analysis platform 23 is used to receive road condition information, vehicle information, and pedestrian information from the central control unit 12, input the road condition information, vehicle information, and pedestrian information into the traffic flow prediction model, obtain the recommended duration of the traffic light, and send the recommended duration to the central control unit 12;

[0048] Here, the cloud data processing and analysis platform 23 establishes a communication connection with the central control unit 12 to ensure real-time transmission of information. The cloud data processing and analysis platform 23 receives various data including road condition information, vehicle information and pedestrian information from the central control unit 12. Using advanced algorithms and models, the platform performs in-depth processing and analysis on the received data, and inputs the processed data into the traffic flow prediction model, which predicts future traffic flow conditions based on historical data and real-time data. Based on the results of traffic flow prediction, the platform calculates the recommended duration of traffic lights to optimize traffic flow and reduce congestion. The cloud data processing and analysis platform 23 sends the calculated recommended duration back to the central control unit 12 for further processing and decision-making.

[0049] The central control unit 12 is further used to receive the recommended duration from the cloud data processing and analysis platform 23 , generate a guidance signal according to the recommended duration, and transmit the guidance signal to the traffic signal control device 11 .

[0050] Here, the central control unit 12 acts as an information hub, receiving the recommended duration from the cloud data processing and analysis platform 23, and simultaneously receiving raw data from other sources (such as the pedestrian detection system 22 and the vehicle-mounted equipment 21). Based on the received recommended duration and other relevant information, the central control unit 12 generates a specific guidance signal, and the central control unit 12 transmits the generated guidance signal to the traffic signal control device 11 to adjust the timing of the traffic lights in real time.

[0051] The on-board equipment 21 and the pedestrian detection system 22 respectively collect vehicle information, road conditions and pedestrian information, and send this information to the central control unit 12. The central control unit 12 forwards this information to the cloud data processing and analysis platform 23. The cloud data processing and analysis platform 23 processes and analyzes the received data, calculates the recommended duration of the traffic light, and the recommended duration is sent back to the central control unit 12. The central control unit 12 generates guidance signals according to the recommended duration and transmits these signals to the traffic signal control device 11. The traffic signal control device 11 adjusts the timing of the traffic light according to the received guidance signals to optimize traffic flow and ensure safety.

[0052] In an optional embodiment, the vehicle-mounted device 21 includes a V2X module 211 , which is communicatively connected to the traffic signal control device 11 , wherein the V2X module 211 is used to send the collected vehicle information to the traffic signal control device 11 .

[0053] The V2X module 211 is a key component in the vehicle-mounted device 21, which supports wireless communication between the vehicle and the surrounding environment. V2X stands for Vehicle to Everything, including vehicle-to-vehicle (V2V), vehicle-to-infrastructure (V2I), vehicle-to-pedestrian (V2P), and vehicle-to-cloud (V2C) communications.

[0054] The V2X module obtains this information through other parts of the vehicle-mounted device 21 (such as sensors, GPS, etc.). The V2X module 211 establishes a communication connection with the traffic signal control device 11, which is usually achieved through dedicated short-range communication (DSRC) technology or cellular vehicle-to-everything (C-V2X) technology. The V2X module 211 sends the collected vehicle information (such as location, speed, driving direction, etc.) to the traffic signal control device 11 in real time so that the latter can understand the current vehicle status on the road. The V2X module 211 uses a specific communication protocol to ensure accurate transmission and reception of information. These protocols usually include data format, transmission speed, error detection and correction mechanism, etc.

[0055] V2X is a communication technology based on cellular networks, using 4G LTE or 5G networks for communication. It is used to exchange data with traffic signal control equipment. The vehicle-mounted device 21 can collect information such as the vehicle's location, speed, and driving direction, and send it to the traffic signal control equipment 11. At the same time, it also receives the traffic signal status from the traffic signal control equipment 11.

[0056] The traffic signal control device 11 is responsible for receiving vehicle information from the V2X module 211 and adjusting the timing of traffic lights in real time based on this information and other data sources (such as the pedestrian detection system 22).

[0057] Here, the vehicle-mounted device 21 collects vehicle information through its internal sensors and GPS and other devices. The V2X module 211 obtains this information from the vehicle-mounted device 21 and sends it to the traffic signal control device 11 through wireless communication. The traffic signal control device 11 receives the vehicle information from the V2X module 211 and performs a comprehensive analysis in combination with other data sources (such as the pedestrian detection system 22). Based on the analysis results, the traffic signal control device 11 adjusts the timing of traffic lights in real time to optimize traffic flow and ensure safety.

[0058] Specifically, the traffic signal control device 11 is further configured to:

[0059] The guidance signal generated by the central control unit 12 is received, and a corresponding signal light instruction is generated to control the duration of the traffic light. The guidance signal includes the type of traffic light and the duration information of each type.

[0060] First, the traffic signal control device 11 receives guidance signals from the central control unit 12. These guidance signals are based on the central control unit's comprehensive analysis of road condition information, vehicle information and pedestrian information. The guidance signals contain key information and are used to guide the control of traffic lights.

[0061] Specifically, guidance signals include:

[0062] Type of traffic lights: This refers to the type of lights (such as red, green, yellow, etc.) that need to be adjusted and their combination.

[0063] Duration information for each type: This refers to how long each light type should last to ensure optimized traffic flow and increased safety.

[0064] Based on the received guidance signal, the traffic signal control device 11 generates corresponding signal light instructions. These instructions directly control the state and duration of the traffic light to ensure that they change according to the requirements of the guidance signal.

[0065] The traffic signal control device 11 optimizes traffic flow by adjusting the duration of the signal light. For example, during peak traffic hours, the duration of the green light may be extended to reduce vehicle waiting time; when there is a high demand for pedestrians crossing the street, the signal light may be adjusted to ensure the safe passage of pedestrians. The traffic signal control device 11 can respond to the guidance signal from the central control unit 12 in real time and quickly adjust the signal light status to adapt to the changing traffic conditions.

[0066] Here, the traffic signal control device 11 includes: a signal transmitter 111 and a signal receiver 112. The signal transmitter 111 periodically broadcasts the traffic signal status (such as red light, green light, yellow light), and the signal receiver 112 receives data transmitted by the vehicle-mounted device 21 and transmits the traffic information to the central control unit.

[0067] The signal transmitter 111 is used to periodically broadcast the traffic signal status to the vehicle-mounted device according to the signal light instruction. Here, the traffic signal status includes the status of the traffic signal light at the preset position of the current vehicle where the vehicle-mounted device is located and the remaining time of the traffic signal light;

[0068] Here, the main function of the signal transmitter 111 is to periodically broadcast the traffic signal status to the on-board device according to the traffic light instruction. The traffic signal status refers to whether the traffic light at the current vehicle preset position where the on-board device is located is currently red, green or yellow. The remaining duration of the traffic light refers to the time that the current traffic light state (such as green light) will continue, or the time when the next state (such as red light) is about to begin.

[0069] At the same time, the signal transmitter 111 broadcasts the traffic signal status at a certain time interval (such as every second, every half second, etc.) to ensure that the vehicle-mounted equipment can obtain the latest traffic information in real time.

[0070] The signal receiver 112 is used to receive vehicle information transmitted by the vehicle-mounted device 21 , road condition information and pedestrian information transmitted by the pedestrian detection system 22 , and transmit the vehicle information, road condition information and pedestrian information to the central control unit 12 .

[0071] Here, the signal receiver 112 is responsible for receiving vehicle information from the vehicle-mounted equipment 21, road condition information and pedestrian information from the pedestrian detection system 22, and transmitting this information to the central control unit 12, wherein the vehicle information includes the vehicle's speed, position, driving direction, vehicle model, etc., the road condition information refers to road congestion, vehicle flow speed, road construction information, etc., and the pedestrian information includes the pedestrian's position, moving direction, number, etc., which helps to predict the pedestrian's demand for crossing the street.

[0072] The signal receiver 112 organizes the received information and transmits it to the central control unit 12 via a communication link for further analysis and processing by the latter.

[0073] Specifically, the central control unit 12 is further configured to:

[0074] According to the recommended duration of the traffic light, the priority of pedestrians and vehicles is evaluated, and the priority signal value is sent to the traffic signal control device to control and adjust the switching timing of the traffic light through the traffic signal control device.

[0075] The central control unit 12 performs a comprehensive assessment of the priorities of pedestrians and vehicles based on the received traffic light recommended duration and real-time pedestrian and vehicle information.

[0076] The central control unit 12 is responsible for comprehensively processing data from on-board equipment and traffic signal control equipment, analyzing traffic flow through algorithms, predicting the impact of traffic signal changes, formulating optimal traffic signal control strategies, and evaluating the priorities of pedestrians and vehicles based on real-time traffic conditions. It also adjusts the switching timing of traffic lights through traffic signal control equipment to ensure the traffic safety and smooth passage of people and vehicles to the greatest extent possible.

[0077] Preferably, there are different evaluation criteria for pedestrian information and vehicle information. The evaluation criteria for pedestrian information include: the number, position, moving speed of pedestrians, and whether they are in key areas such as crosswalks; the evaluation criteria for vehicle information include: the vehicle's speed, position, direction of travel, and whether it is in a traffic congestion area, etc.

[0078] The cloud data processing and analysis platform 23 uses advanced algorithms and models to quantitatively evaluate the priority of pedestrians and vehicles based on the optimal duration of traffic lights predicted by historical data and real-time data, taking into account the above factors. The evaluation results may be expressed in the form of a priority signal value, which reflects the priority of pedestrians or vehicles relative to the other under the current traffic conditions.

[0079] The cloud data processing and analysis platform 23 assists the central control unit 12 in data analysis and mining, uses machine learning and data mining techniques to analyze historical traffic data, identify traffic patterns and trends, and provide data support for signal control strategies;

[0080] A traffic flow prediction model is built based on historical data to help the system predict changes in traffic flow in a certain period of time in the future, so as to dynamically adjust the traffic light signal cycle; analyze the behavior patterns of pedestrians crossing the road, identify high-frequency pedestrian traffic periods, and provide a basis for signal priority setting.

[0081] Based on the result of the priority evaluation, the central control unit 12 generates a priority signal value and sends it to the traffic signal control device 11. The priority signal value is one or more numerical values ​​or codes used to indicate how the traffic signal control device 11 should adjust the switching timing of the traffic light under the current traffic conditions to give priority to the needs of pedestrians or vehicles.

[0082] After receiving the priority signal value, the traffic signal control device 11 adjusts the switching timing of the traffic light according to the indication therein. For example, when there is a high demand for pedestrians to cross the street, the light may be switched to green in advance to allow pedestrians to pass safely; when traffic congestion is serious, the green light duration may be extended to reduce the waiting time of vehicles.

[0083] Specifically, the cloud data processing and analysis platform 23 is also configured to:

[0084] Get the training sample set.

[0085] The training sample set includes multiple training samples, each training sample includes sample road condition information, sample vehicle information, sample pedestrian information and sample recommended duration;

[0086] Here, the cloud data processing and analysis platform 23 first needs to obtain a set of training samples from various data sources (such as traffic signal control equipment, vehicle-mounted equipment, pedestrian detection systems, etc.).

[0087] The training sample set is a data set containing multiple training samples. Each training sample contains rich information for training the traffic flow prediction model.

[0088] Specifically, each training sample includes:

[0089] Sample road condition information: such as road congestion, vehicle flow speed, road construction information, etc.

[0090] Sample vehicle information: such as vehicle speed, location, driving direction, vehicle model, etc.

[0091] Sample pedestrian information: such as the number, location, and movement speed of pedestrians.

[0092] Sample recommended duration: This is the optimal duration of traffic lights predicted based on historical data and real-time data, which serves as the output target of the model.

[0093] The sample road condition information, sample vehicle information and sample pedestrian information are used as inputs of the initial traffic flow prediction model, and the sample recommended duration is used as the output of the initial traffic flow prediction model to train the initial traffic flow prediction model.

[0094] The cloud data processing and analysis platform 23 uses the acquired training sample set to train the initial traffic flow prediction model, takes the sample road condition information, sample vehicle information and sample pedestrian information as the input features of the model, and takes the sample recommended duration as the output target of the model. Through machine learning or deep learning algorithms, the model parameters are continuously adjusted to minimize the error between the output prediction and the sample recommended duration. During the training process, the cloud data processing and analysis platform 23 will continuously evaluate the performance of the model and optimize the model based on the evaluation results. After the training is completed, the cloud data processing and analysis platform 23 will use an independent verification data set to verify the model to ensure that it has good generalization ability.

[0095] In summary, the cloud data processing and analysis platform 23 obtains a training sample set from various data sources. The platform uses the training sample set to train the initial traffic flow prediction model. During the training process, the platform continuously evaluates the performance of the model and performs necessary optimization. After the training is completed, the platform uses the verification data set to verify the model. After the verification is passed, the model is deployed to the actual intelligent transportation system for real-time prediction of the optimal duration of traffic lights.

[0096] The V2X-based traffic control system and traffic control method provided in the embodiment of the present application include a traffic signal control device and a central control unit. The traffic signal control device is communicatively connected with the central control unit. The traffic signal control device is used to receive road condition information, vehicle information, and pedestrian information, and send the road condition information, vehicle information, and pedestrian information to the central control unit; the central control unit is used to receive road condition information, vehicle information, and pedestrian information, and optimize traffic in combination with the traffic flow prediction model to obtain a guidance signal, and transmit the guidance signal to the traffic signal control device to optimize the management of traffic lights. Through this application, the control of traffic lights is achieved to ensure the traffic safety and smooth passage of pedestrians and vehicles, and improve traffic safety: real-time pedestrian detection, reduction of traffic accidents, intelligent signal control, dynamic adjustment of signal cycle, priority control, convenient road crossing experience, reduction of vehicle idling, and encouragement of public transportation and non-motorized transportation.

[0097] The V2X-based traffic control system and traffic control method proposed in this application realize accurate perception and intelligent control of traffic signals by integrating real-time data exchange and pedestrian detection functions between vehicles and traffic signal systems, thereby realizing intelligent and dynamic traffic signal control, optimizing traffic flow, and improving road safety.

[0098] The V2X-based traffic control system proposed in this application is an advanced traffic management solution. Its technical effects and advantages are mainly reflected in the following aspects:

[0099] 1. Improve traffic safety

[0100] Real-time pedestrian detection: Through cameras or sensors, the system can detect the location and movement of pedestrians in real time. When pedestrians approach the zebra crossing, the system can immediately adjust the traffic light signal to prioritize the safety of pedestrians.

[0101] Reducing traffic accidents: V2X technology enables real-time communication between vehicles and traffic lights. Vehicles can know the status of traffic lights in advance, which helps slow down the speed and reduce the risk of traffic accidents.

[0102] 2. Optimize traffic flow

[0103] Intelligent signal control: The system can control signals according to real-time traffic flow and pedestrian flow, reduce unnecessary waiting time at red lights, and improve vehicle passing efficiency.

[0104] Dynamically adjust the signal cycle: According to different time periods (such as peak and non-peak periods) and special events (such as large-scale events), the system can dynamically adjust the signal cycle of traffic lights to optimize traffic flow.

[0105] 3. Improve pedestrian traffic efficiency

[0106] Priority control: For areas with high frequency of crossing the road, the system can identify pedestrian flow and give priority to passing signals at the appropriate time to improve pedestrian passage efficiency.

[0107] Convenient road crossing experience: Combined with V2X technology, when pedestrians approach the zebra crossing, the system can immediately adjust the traffic light status to reduce pedestrian waiting time.

[0108] 4. Promote the development of intelligent transportation systems

[0109] Data collection and analysis: The system can collect a large amount of traffic data, including pedestrian flow, vehicle flow, traffic light status, etc., to provide decision support for traffic management departments.

[0110] Integration with other intelligent transportation facilities: The application of V2X technology enables the system to be interconnected with other traffic management facilities (such as surveillance cameras, traffic lights, traffic information release systems, etc.) to form a comprehensive intelligent transportation management platform.

[0111] 5. Reduce environmental impact

[0112] Reduce vehicle idling: By optimizing signal control, the waiting time of vehicles at red lights can be reduced, thereby reducing fuel consumption and exhaust emissions and improving urban air quality.

[0113] Encourage public transportation and non-motorized transportation: Through priority signal control, pedestrians and cyclists are encouraged to choose more environmentally friendly travel modes, thereby improving the overall traffic efficiency of the city.

[0114] 6. Comparison with existing technologies

[0115] Compared with the traditional traffic light system: the traditional system mainly relies on timing control or simple traffic flow detection and cannot respond to emergencies in real time. The traffic control system based on V2X can process data in real time and make intelligent decisions.

[0116] Enhanced interactivity: V2X technology enables vehicles to communicate with traffic lights and other traffic participants, enhancing the interactivity of the system and improving the level of intelligent traffic management.

[0117] The V2X-based traffic control system, by integrating advanced detection technology and intelligent control strategies, not only improves traffic safety and flow efficiency, but also provides new solutions for the sustainable development of cities. Compared with traditional technologies, it has higher flexibility and responsiveness, and can better adapt to the complex traffic environment of modern cities.

[0118] This application adopts efficient V2X communication technology to realize real-time information exchange between vehicles and traffic lights, pedestrians and other traffic participants. This technology enables the system to obtain and process traffic information in a timely manner, improve the response speed and accuracy of traffic management, and thus significantly improve traffic safety and flow efficiency.

[0119] This application uses computer vision and sensor fusion technology to monitor pedestrian dynamics in real time, including high-precision pedestrian detection and recognition algorithms. By accurately judging the location and intention of pedestrians, the system can quickly adjust traffic lights when pedestrians approach zebra crossings, ensuring pedestrian safety and reducing traffic accidents.

[0120] This application develops an adaptive algorithm based on real-time traffic flow and pedestrian flow data to dynamically adjust the signal cycle and priority of traffic lights. This algorithm can dynamically optimize traffic signals during peak and off-peak periods, reduce vehicle waiting time, and improve traffic circulation efficiency.

[0121] This application also uses cloud computing technology to centrally process and analyze traffic data, supports data mining and historical trend analysis, and through in-depth analysis of the data, can optimize signal control strategies, support the decision-making of traffic management departments, improve the overall traffic management level, introduce data encryption, identity authentication and other security measures, ensure the security of V2X communications and data privacy protection, protect user data and communication content from malicious attacks, enhance the reliability and trust of the system, and improve user acceptance.

[0122] See also Figure 3 , Figure 3 The flowchart of the V2X-based traffic control method provided in the embodiment of the present application. The V2X-based traffic control method is applied to a V2X-based traffic control system, wherein the V2X-based traffic control system includes a traffic signal control device and a central control unit, wherein the traffic signal control device is in communication connection with the central control unit, such as Figure 3 As shown in , the method includes:

[0123] S301, the traffic signal control device is used to receive road condition information, vehicle information and pedestrian information, and send the road condition information, vehicle information and pedestrian information to a central control unit;

[0124] S302, the central control unit is used to receive the road condition information, vehicle information and pedestrian information, perform traffic optimization in combination with the traffic flow prediction model, obtain the guidance signal, and transmit the guidance signal to the traffic signal control device to optimize the management of the traffic lights.

[0125] See also Figure 4 , Figure 4 This is a schematic diagram of the structure of the electronic device provided in the embodiment of the present application. Figure 4 As shown in , the electronic device 300 includes a processor 310 , a memory 320 and a bus 330 .

[0126] The memory 320 stores machine-readable instructions executable by the processor 310. When the electronic device 300 is running, the processor 310 communicates with the memory 320 via the bus 330. When the machine-readable instructions are executed by the processor 310, the above-mentioned Figure 3 The specific implementation of the steps of the V2X-based traffic control method in the method embodiment shown can be found in the method embodiment, and will not be repeated here.

[0127] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0128] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. The device embodiments described above are merely schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some communication interfaces, and the indirect coupling or communication connection of devices or units can be electrical, mechanical or other forms.

[0129] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0130] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0131] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a non-volatile computer-readable storage medium that is executable by a processor. Based on this understanding, the technical solution of the present application can essentially be embodied in the form of a software product, or in other words, the part that contributes to the prior art or the part of the technical solution. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0132] Finally, it should be noted that the above-described embodiments are only specific implementation methods of the present application, which are used to illustrate the technical solutions of the present application, rather than to limit them. The protection scope of the present application is not limited thereto. Although the present application is described in detail with reference to the above-mentioned embodiments, ordinary technicians in the field should understand that any technician familiar with the technical field can still modify the technical solutions recorded in the above-mentioned embodiments within the technical scope disclosed in the present application, or can easily think of changes, or make equivalent replacements for some of the technical features therein; and these modifications, changes or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application, and should be included in the protection scope of the present application. Therefore, the protection scope of the present application shall be based on the protection scope of the claims.

Claims

1. A traffic control system based on V2X, characterized in that: It includes a traffic signal control device and a central control unit, wherein the traffic signal control device is in communication connection with the central control unit. The traffic signal control device is used to receive road condition information, vehicle information and pedestrian information, and send the road condition information, vehicle information and pedestrian information to the central control unit; The central control unit is used to receive the road condition information, vehicle information and pedestrian information, perform traffic optimization in combination with the traffic flow prediction model, obtain the guidance signal, and transmit the guidance signal to the traffic signal control device to optimize the management of the traffic lights.

2. The system according to claim 1, characterized in that The traffic control system also includes: vehicle-mounted equipment and a pedestrian detection system. The vehicle-mounted equipment is installed in each vehicle, and the pedestrian detection system is set on both sides of the road. The vehicle-mounted equipment of each vehicle is connected to the pedestrian detection system in communication. Wherein, the vehicle-mounted device is used to collect vehicle information of the vehicle itself and send the vehicle information to the traffic signal control device; The pedestrian detection system is used to collect road condition information and pedestrian information, and send the road condition information and pedestrian information to the traffic signal control device.

3. The system according to claim 2, characterized in that The traffic control system further comprises: a cloud data processing and analysis platform, wherein the cloud data processing and analysis platform is communicatively connected with the central control unit, The cloud data processing and analysis platform is used to receive the road condition information, vehicle information and pedestrian information from the central control unit, input the road condition information, vehicle information and pedestrian information into the traffic flow prediction model, obtain the recommended duration of the traffic light, and send the recommended duration to the central control unit; The central control unit is also used to receive the recommended duration from the cloud data processing and analysis platform, generate the guidance signal according to the recommended duration, and transmit the guidance signal to the traffic signal control device.

4. The system according to claim 2, characterized in that The vehicle-mounted device includes a V2X module, and the V2X module is communicatively connected with the traffic signal control device. Wherein, the V2X module is used to send the collected vehicle information to the traffic signal control device.

5. The system according to claim 1, characterized in that The traffic signal control device is further configured to: The guiding signal generated by the central control unit is received, and a corresponding signal light instruction is generated to control the duration of the traffic light, wherein the guiding signal includes the type of traffic light and the duration information of each type.

6. The system according to claim 5, characterized in that The traffic signal control device comprises: a signal transmitter and a signal receiver, The signal transmitter is used to periodically broadcast the traffic signal status to the vehicle-mounted device according to the traffic light instruction, wherein the traffic signal status includes the status of the traffic light at the preset position of the current vehicle where the vehicle-mounted device is located and the remaining duration of the traffic light; The signal receiver is used to receive the vehicle information transmitted by the vehicle-mounted equipment, the road condition information and the pedestrian information transmitted by the pedestrian detection system, and transmit the vehicle information, the road condition information and the pedestrian information to the central control unit.

7. The system according to claim 3, characterized in that The central control unit is further configured as: According to the recommended duration of the traffic light, the priority of pedestrians and vehicles is evaluated, and the priority signal value is sent to the traffic signal control device, so as to control and adjust the switching timing of the traffic light through the traffic signal control device.

8. The system according to claim 3, characterized in that The cloud data processing and analysis platform is further configured to: Acquire a training sample set, wherein the training sample set includes a plurality of training samples, each training sample includes sample road condition information, sample vehicle information, sample pedestrian information, and sample recommended duration; The sample road condition information, sample vehicle information and sample pedestrian information are used as inputs of an initial traffic flow prediction model, and the sample recommended duration is used as output of the initial traffic flow prediction model to train the initial traffic flow prediction model.

9. A traffic control method based on V2X, characterized in that: Applied to a V2X-based traffic control system, the V2X-based traffic control system includes a traffic signal control device and a central control unit, the traffic signal control device is communicatively connected with the central control unit, and the method includes: The traffic signal control device is used to receive road condition information, vehicle information and pedestrian information, and send the road condition information, vehicle information and pedestrian information to the central control unit; The central control unit is used to receive the road condition information, vehicle information and pedestrian information, perform traffic optimization in combination with the traffic flow prediction model, obtain the guidance signal, and transmit the guidance signal to the traffic signal control device to optimize the management of the traffic lights.

10. An electronic device, characterized in that: include: A processor, a memory and a bus, wherein the memory stores machine-readable instructions executable by the processor, and when the electronic device is running, the processor communicates with the memory via the bus, and the processor executes the machine-readable instructions to perform the steps of the method as claimed in claim 9.

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