Traffic police control system and method for automatic driving

Abstract

The invention relates to a traffic police control system and method for automatic driving, and belongs to the technical field of intelligent traffic, and the system comprises an automatic driving control module, a cloud service platform and a traffic police control terminal. The automatic driving control module uploads driving information to the cloud service platform and controls an automatic driving vehicle according to control information received from the cloud service platform; the cloud service platform processes the received data, and generates road event information and issues the road event information to the traffic police control terminal when a congestion or a traffic accident is recognized; the traffic police control terminal uploads the position of the traffic police and loads a real-time map according to the data of the cloud service platform; meanwhile, control information is generated according to the collected and recognized voice and action of the traffic police. According to the invention, the map data is acquired in real time to monitor and control the vehicle, the traffic police are helped to make a more accurate decision, command to the automatic driving vehicle is completed, and traffic congestion is reduced, so that the road driving safety is improved, and the road passing efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the field of intelligent transportation technology, and in particular to a traffic police control system and method for automatic driving. Background Art

[0002] Unmanned driving, also known as autonomous driving or driverless cars, is a mode of transportation that uses advanced sensors, control systems and artificial intelligence technology to enable cars to drive autonomously without human driver intervention. With the rapid development of autonomous driving technology, the number of vehicles equipped with autonomous driving systems has increased rapidly, and with it comes the problem of road traffic congestion. In this case, on-site command by traffic police has become one of the key measures to alleviate traffic congestion. However, there is currently a lack of effective traffic police management mechanisms to deal with autonomous vehicles, so how to properly manage autonomous vehicles within the traffic police command area has gradually become an issue that needs to be solved. Summary of the invention

[0003] In order to solve the above-mentioned problems in the prior art and enable the autonomous driving vehicle to quickly respond to the on-site command of the traffic police, the present invention provides a traffic police control system and method for autonomous driving.

[0004] A traffic police control system for autonomous driving, comprising an autonomous driving control module, a cloud service platform and a traffic police control terminal;

[0005] The autonomous driving control module acquires driving information in real time and uploads it to the cloud service platform; at the same time, the autonomous driving vehicle is controlled according to the control information received from the cloud service platform;

[0006] The cloud service platform receives and processes data uploaded by the autonomous driving control module and the traffic police control terminal, and obtains information from basic road traffic facilities. When congestion or traffic accidents are identified, road event information is generated and sent to the traffic police control terminal;

[0007] The traffic police control terminal uploads the location of the traffic police and loads the real-time map according to the cloud service platform data; at the same time, it generates control information according to the collected and recognized voice and action of the traffic police.

[0008] Furthermore, the driving information includes vehicle position, speed and direction angle information.

[0009] Furthermore, the autonomous driving control module includes a vehicle control module and a safety module; the safety module is used to perform data security and time verification and decode control information according to the verification code, and the vehicle control module controls the autonomous driving vehicle according to the decoded control information.

[0010] Furthermore, the traffic police control terminal uses head-mounted AR technology to superimpose real-time traffic information in the traffic police's field of view using the automatic driving control module data received from the cloud service platform, helping the traffic police to obtain more accurate traffic information.

[0011] Furthermore, the road event information includes event type, location, congestion level and event size.

[0012] Furthermore, the control system also includes an infrastructure traffic facility control module, which uploads information about road infrastructure traffic facilities to the cloud service platform and controls the infrastructure traffic facilities according to the received control information.

[0013] A traffic police control method for autonomous driving comprises the following steps:

[0014] Step S1. Collect basic traffic information from the autonomous driving control module and basic traffic facilities to the cloud service platform;

[0015] Step S2. The cloud service platform processes the basic traffic information and determines whether there is a road event; when a road event occurs, the event data is sent to the control terminal;

[0016] Step S3. The control terminal generates road event information at a corresponding position in the device AR map according to the event data;

[0017] Step S4. The traffic police completes the generation of control information for basic traffic facilities and autonomous driving vehicles through voice and gestures on the control terminal, and encrypts the control information and sends it to the cloud service platform via the network;

[0018] Step S5. After receiving the control information, the cloud service platform processes it and distributes it to the autonomous driving vehicle and basic transportation facilities;

[0019] Step S6. The basic transportation facilities and the autonomous driving vehicle decrypt the control information and verify its timeliness. After the verification is passed, the automatic control is completed according to the control information.

[0020] The beneficial effects of the present invention are as follows: the present invention obtains map data in real time to monitor and control vehicles, helps traffic police make more accurate decisions, completes the command of autonomous driving vehicles, reduces traffic congestion, thereby improving road driving safety, reducing the occurrence of traffic accidents, and ultimately improving the overall traffic efficiency of the road. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 is a system structure diagram of the present invention;

[0022] Figure 2 This is a data processing flow chart for the automatic driving control module;

[0023] Figure 3 This is the data processing flow chart of the cloud service platform;

[0024] Figure 4 This is the traffic police control flow chart of the traffic police control terminal. DETAILED DESCRIPTION

[0025] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not 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.

[0026] Example 1: Reference Figure 1 As shown, a traffic police control system for autonomous driving according to an embodiment of the present invention includes an autonomous driving control module, a cloud service platform and a traffic police control terminal;

[0027] The autonomous driving control module acquires driving information (including vehicle position, speed and direction angle information) in real time and uploads it to the cloud service platform; at the same time, the autonomous driving vehicle is controlled according to the control information received from the cloud service platform;

[0028] The cloud service platform receives and processes data uploaded by the autonomous driving control module and the traffic police control terminal, and obtains information from basic road traffic facilities. When congestion or traffic accidents are identified, road event information is generated and sent to the traffic police control terminal; the road event information includes event type, location, congestion level and event size;

[0029] The traffic police control terminal uploads the location of the traffic police and loads the real-time map according to the cloud service platform data; at the same time, it generates control information according to the collected and recognized voice and action of the traffic police.

[0030] In this embodiment, the control system also includes an infrastructure control module, which uploads information about road infrastructure to the cloud service platform and controls the infrastructure according to the received control information to further adjust the traffic conditions.

[0031] In this embodiment, the automatic driving control module includes a vehicle control module and a safety module. The vehicle control module uploads the vehicle's status information (such as speed, location, etc.) to the cloud service platform; then receives instructions from the control information of the cloud service platform, and controls the vehicle to accelerate, decelerate, turn, and perform other operations according to the instructions. The safety module sets up multiple safety checkpoints to ensure that the vehicle can safely execute the parsed and received control information, determine the specific operations, and verify the validity and safety of the control information. The vehicle control process of its automatic driving control module is as follows: Figure 2 shown.

[0032] In this embodiment, the cloud service platform supports the important infrastructure for the operation of autonomous vehicles. It integrates multiple key functions such as data management and analysis, remote monitoring and control, vehicle scheduling and optimization, software upgrades and maintenance, security protection and compliance. In this system, Figure 3 As shown in the figure, the cloud service platform receives the location information from the vehicle and the traffic police control terminal, and updates the location of the traffic police according to the location information. Then, according to the location and instructions of the traffic police, combined with real-time traffic information, the autonomous driving vehicle is dispatched to the designated location.

[0033] In this embodiment, if Figure 4 As shown in the figure, the traffic police control terminal uses head-mounted AR technology to superimpose real-time traffic information (such as vehicle position, speed, traffic signals, etc.) in the field of view of the traffic police with the data of the automatic driving control module received by the cloud service platform, helping the traffic police to obtain more accurate traffic information. Combined with voice recognition technology and gesture recognition technology, the traffic police can control the terminal through simple voice commands or gestures, providing a simple and intuitive operation method, which is convenient for the traffic police to quickly understand and use; specifically, the vehicle control command is issued by dragging the position of the automatic driving vehicle in AR, moving from the initial position to the dragged latitude and longitude position, and the traffic light signal or road information board display content can also be issued through voice commands combined with traffic infrastructure. High-precision position sensors and accelerometers are also used to ensure that the actions of the traffic police can be accurately captured, and the position and gestures of the traffic police can be accurately identified to achieve precise control.

[0034] In this embodiment, a traffic police control method for autonomous driving includes the following steps:

[0035] Step S1. Collect basic traffic information from the autonomous driving control module and basic traffic facilities to the cloud service platform;

[0036] Step S2. The cloud service platform processes the basic traffic information and determines whether there is a road event; when a road event occurs, the event data is sent to the control terminal;

[0037] Step S3. The control terminal generates road event information at a corresponding position in the device AR map according to the event data;

[0038] Step S4. The traffic police completes the generation of control information for basic traffic facilities and autonomous driving vehicles through voice and gestures on the control terminal, and encrypts the control information and sends it to the cloud service platform via the network;

[0039] Step S5. After receiving the control information, the cloud service platform processes it and distributes it to the autonomous driving vehicle and basic transportation facilities;

[0040] Step S6. The basic transportation facilities and the autonomous driving vehicle decrypt the control information and verify its timeliness. After the verification is passed, the automatic control is completed according to the control information.

[0041] The present invention can significantly improve the efficiency and safety of traffic management by combining a head-mounted AR terminal with a cloud service platform. Through real-time response and rapid dispatch, traffic police can take immediate action to control nearby autonomous driving vehicles through simple gestures or voice commands, thereby achieving immediate intervention in traffic conditions. In addition, the system can also prevent accidents, reduce traffic accidents caused by human errors, and quickly evacuate traffic in emergency situations to ensure the safety of pedestrians and vehicles. By optimizing routes and reducing congestion, the system can improve traffic mobility and increase road utilization. At the same time, traffic police can intuitively see traffic information through augmented reality information, simplify operating procedures, and obtain personalized operating suggestions, thereby improving user experience. In addition, the system also promotes the development of autonomous driving technology, cloud computing and Internet of Things technology, and helps to comply with relevant regulatory requirements and enhance public trust. Finally, by reducing traffic congestion, the system also helps to reduce carbon emissions and improve energy efficiency, contributing to environmental protection and energy conservation. In short, the system not only improves the efficiency and safety of traffic management, but also promotes technological progress and development, laying a solid foundation for the construction of smart cities in the future.

[0042] In the description of the embodiments of the present invention, the terms "first", "second", "third", and "fourth" are used for descriptive purposes only and are not to be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first", "second", "third", and "fourth" may explicitly or implicitly include one or more of the features. In the description of the present invention, unless otherwise specified, "multiple" means two or more.

[0043] In the description of the embodiments of the present invention, the term "and / or" herein is merely a description of the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B may represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " herein generally indicates that the associated objects before and after are in an "or" relationship.

[0044] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A traffic police control system for autonomous driving, characterized in that: Including autonomous driving control module, cloud service platform and traffic police control terminal; The autonomous driving control module acquires driving information in real time and uploads it to the cloud service platform; at the same time, the autonomous driving vehicle is controlled according to the control information received from the cloud service platform; The cloud service platform receives and processes data uploaded by the autonomous driving control module and the traffic police control terminal, and obtains information from basic road traffic facilities. When congestion or traffic accidents are identified, road event information is generated and sent to the traffic police control terminal; The traffic police control terminal uploads the location of the traffic police and loads the real-time map according to the cloud service platform data; at the same time, it generates control information according to the collected and recognized voice and action of the traffic police.

2. A traffic police control system for autonomous driving according to claim 1, characterized in that: The driving information includes vehicle position, speed and direction angle information.

3. A traffic police control system for autonomous driving according to claim 2, characterized in that: The automatic driving control module includes a vehicle control module and a safety module; the safety module is used to perform data security and time verification and decode control information according to the verification code, and the vehicle control module controls the automatic driving vehicle according to the decoded control information.

4. A traffic police control system for autonomous driving according to claim 1, characterized in that: The traffic police control terminal uses head-mounted AR technology to superimpose real-time traffic information in the traffic police's field of view with the data of the automatic driving control module received from the cloud service platform, helping the traffic police to obtain more accurate traffic information.

5. The traffic police control system for autonomous driving according to claim 1, characterized in that: The road event information includes event type, location, congestion level and event size.

6. A traffic police control system for autonomous driving according to claim 1, characterized in that: The control system also includes an infrastructure control module, which uploads information about road infrastructure to a cloud service platform and controls the infrastructure according to the received control information.

7. A traffic police control method for autonomous driving, using a traffic police control system for autonomous driving as claimed in any one of claims 1 to 6, characterized in that: The following steps are involved: Step S1. Collect basic traffic information from the autonomous driving control module and basic traffic facilities to the cloud service platform; Step S2. The cloud service platform processes the basic traffic information and determines whether there is a road event; when a road event occurs, the event data is sent to the control terminal; Step S3. The control terminal generates road event information at a corresponding position in the device AR map according to the event data; Step S4. The traffic police completes the generation of control information for basic traffic facilities and autonomous driving vehicles through voice and gestures on the control terminal, and encrypts the control information and sends it to the cloud service platform via the network; Step S5. After receiving the control information, the cloud service platform processes it and distributes it to the autonomous driving vehicle and basic transportation facilities; Step S6. The basic transportation facilities and the autonomous driving vehicle decrypt the control information and verify its timeliness. After the verification is passed, the automatic control is completed according to the control information.

Images