C-v2x-based regional operational vehicle dispatching and management system and method

Abstract

A C-V2X-based regional operational vehicle dispatching and management system and method. The system comprises: a C-V2X communication module, a data acquisition module, a data processing and analysis module, and an intelligent ranking module. The system and method utilizes a C-V2X network to collect, in real time, traffic data such as traffic flow, road conditions, and parking spaces, and vehicle data such as vehicle location, speed, and travel direction. Then, the collected data is deeply mined and analyzed by means of big data analysis and artificial intelligence technology, so as to predict traffic trends and vehicle demand. On the basis of the analysis results, intelligent algorithms and optimization techniques are used to perform real-time dispatching and management of operational vehicles.

Description

Regional operation vehicle dispatching management system and method based on C-V2X Technical Field

[0001] The present invention relates to a regional operating vehicle dispatching management system and method based on C-V2X, belonging to the technical field of vehicle network. Background Art

[0002] Vehicle dispatch management technology is a management method for vehicle scheduling, aiming to achieve efficient dispatch and management of vehicles within a region. This technology collects information such as vehicle location, speed, and destination, as well as traffic status and road conditions, analyzes and processes data, and formulates dispatch instructions to control vehicle traffic in a predetermined order. Vehicle dispatch management technology can be customized to meet specific needs, enabling efficient vehicle dispatch and management in different scenarios.

[0003] The current vehicle dispatch management system suffers from inconsistent communication methods between vehicles and between vehicles and roadside equipment, requiring additional intermediary servers. This severely impacts information exchange and increases communication and dispatch costs. Furthermore, issues such as compatibility and incomplete signal coverage significantly impact the management and dispatch efficiency of operating vehicles.

[0004] Summary of the Invention

[0005] To solve the above problems, the present invention provides a regional operation vehicle dispatch management system and method based on C-V2X. The technical solution is as follows:

[0006] A first object of the present invention is to provide a regional operating vehicle dispatching and management system based on C-V2X, comprising:

[0007] C-V2X communication module, used to achieve wireless communication and information exchange between vehicles, vehicles and roadside infrastructure, and vehicles and cloud systems;

[0008] Data acquisition module, used to collect vehicle data and traffic status data;

[0009] The data processing and analysis module is used to analyze the collected vehicle data and traffic status data using data processing and analysis algorithms to obtain the distribution and flow of vehicles in the area;

[0010] Intelligent sorting module, used to determine the order of vehicles passing through the intersection based on vehicle driving information, the distribution and flow of vehicles in the area, to achieve the optimal passing order and traffic flow distribution;

[0011] The dispatch instruction module is used to send the optimal passage sequence and traffic flow distribution information to each vehicle, including: passage time, speed limit, driving route, and parking point arrangement, to achieve efficient dispatch and management of vehicles in the area.

[0012] Optionally, the system further includes: a feedback and adjustment module, which is used to collect feedback information and adjust and optimize the scheduling and management strategies.

[0013] Optionally, the data processing and analysis module includes:

[0014] The data preprocessing module is used to preprocess the collected data, including data cleaning, format conversion, and outlier processing to ensure the accuracy and integrity of the data;

[0015] The traffic status assessment module evaluates the traffic status in the area based on preprocessed data, including traffic congestion level, traffic speed, and traffic incidents, providing a reference for subsequent scheduling decisions.

[0016] Optionally, the intelligent sorting module determines the order of each vehicle passing through the intersection based on multiple factors, and the multiple factors include: the vehicle's position, speed, direction, and destination.

[0017] Optionally, the roadside infrastructure includes: traffic lights, road monitoring cameras, and smart parking systems.

[0018] Optionally, the operating vehicles include: taxis and buses.

[0019] Optionally, vehicle dispatch management includes dynamically adjusting bus schedules and routes based on changes in traffic flow.

[0020] Optionally, vehicle dispatch management includes: intelligently allocating taxi locations and tasks based on road conditions and vehicle demand.

[0021] Optionally, vehicle dispatch management includes: intelligently managing the allocation of parking resources based on parking space usage.

[0022] A second object of the present invention is to provide a C-V2X-based regional operating vehicle dispatch management method, based on the system implementation of any of the above claims, using a C-V2X communication module to achieve wireless communication and information exchange between vehicles, vehicles and roadside infrastructure, and vehicles and cloud systems, including:

[0023] Step 1: Collect vehicle data and traffic status data;

[0024] Step 2: Use data processing and analysis algorithms to analyze the collected vehicle data and traffic status data to obtain the distribution and flow of vehicles in the area;

[0025] Step 3: Determine the intersection passage order of vehicles based on vehicle driving information, the distribution and flow of vehicles in the area, and achieve the optimal passage order and traffic flow distribution;

[0026] Step 4: Send the optimal traffic sequence and traffic flow distribution information to each vehicle, including: travel time, speed limit, driving route, and parking arrangement, to achieve efficient scheduling and management of vehicles in the area.

[0027] The beneficial effects of the present invention are:

[0028] This invention improves road safety and traffic efficiency: by sharing vehicle information in real time and intelligently sorting vehicles, it can reduce traffic accidents, avoid congestion and delays, and improve overall traffic efficiency. Furthermore, the low latency and direct communication characteristics of C-V2X communication technology enable vehicles to obtain timely information about their surroundings and traffic, enabling better route planning and speed adjustments, thus improving road safety and traffic efficiency.

[0029] Reduced communication and dispatch costs: C-V2X communication technology enables vehicles to exchange information directly with each other, eliminating the need for a central server to mediate, thus reducing communication and dispatch costs. Furthermore, by reducing reliance on central servers, this approach can improve communication reliability and real-time performance.

[0030] Improve vehicle transport efficiency: By centrally dispatching and managing vehicles within a region, we can optimize vehicle routes and speeds, improving transport efficiency. This method can also be customized based on actual needs, enabling efficient vehicle dispatch and management in different scenarios.

[0031] Adaptability to areas with poor network coverage: This method can achieve efficient dispatching in areas with poor network coverage, improving vehicle transportation efficiency. This can address the shortcomings of traditional vehicle dispatching methods in areas with poor network coverage and further expand the application scope of vehicle dispatch management.

[0032] Enhanced cross-platform compatibility: C-V2X communication technology is compatible with different platforms and devices, enabling cross-platform information exchange and collaboration. This allows C-V2X-based regional vehicle dispatch management methods to integrate and interact with other systems and services, improving overall operational efficiency and collaboration. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0034] FIG1 is a technical framework diagram of the regional operation vehicle dispatching and management system based on C-V2X of the present invention. DETAILED DESCRIPTION

[0035] To make the objectives, technical solutions and advantages of the present invention more clear, the embodiments of the present invention will be described in further detail below with reference to the accompanying drawings.

[0036] Example 1

[0037] This embodiment provides a regional operating vehicle dispatching and management system based on C-V2X, including:

[0038] C-V2X communication modules enable wireless communication and information exchange between vehicles, between vehicles and roadside infrastructure, and between vehicles and cloud systems. Installing a C-V2X communication module in a vehicle enables wireless communication with other vehicles and infrastructure. By sending and receiving driving information, vehicles can share real-time information such as traffic conditions, vehicle location, speed, and direction.

[0039] The C-V2X communication module supports direct communication between vehicles and between vehicles and infrastructure, enabling efficient information exchange and collaboration. Vehicles can use this module to send and receive driving information from other vehicles and infrastructure, such as location, speed, and direction, to better understand the surrounding traffic environment. The C-V2X communication module relies on cellular networks for communication and can achieve wide-area coverage with the help of cellular networks, allowing vehicles to maintain connectivity with the surrounding environment and cloud systems anywhere. It uses both direct link and network-assisted communication methods to significantly reduce information transmission latency and provide vehicles with real-time traffic information and instructions. It uses reliable wireless communication technology with anti-interference and fault-tolerant capabilities to ensure highly reliable information transmission in complex traffic environments.

[0040] Data acquisition module, used to collect vehicle data and traffic status data;

[0041] The data processing and analysis module uses data processing and analysis algorithms to analyze collected vehicle and traffic status data to determine the distribution and flow of vehicles within the region. It also conducts in-depth analysis of vehicle trajectory, speed, destination, and other information. This helps understand the distribution and flow of vehicles within the region and provides decision support for subsequent scheduling and management.

[0042] The intelligent sorting module uses the driving information of all vehicles to intelligently sort them on the cloud server and determine the order in which each vehicle should pass through the intersection. This sorting takes into account factors such as traffic conditions, vehicle location and speed, destination, and road conditions to achieve the optimal order and traffic flow distribution.

[0043] Traffic status, including congestion levels, traffic speeds, and traffic incidents, can be assessed to understand the distribution and flow of vehicles within an area, providing a basis for vehicle sorting. Vehicle location and speed are crucial factors in determining traffic demand. Obtaining vehicle location and speed information allows us to understand each vehicle's travel trajectory and trends, providing a basis for vehicle sorting. Obtaining vehicle destination information allows us to understand vehicle travel needs and the distance between destinations, providing a basis for vehicle sorting. Road conditions, including congestion levels, road types, and traffic controls, can be assessed to understand the capacity and traffic conditions of each road, providing a basis for vehicle sorting.

[0044] In the dispatching instruction module, the cloud server sends real-time dispatching instructions to each vehicle, controlling them to pass through the target intersection in a predetermined order. These instructions can include information such as travel time, speed limit, and driving route to achieve efficient dispatch and management of vehicles in the area. The specific process includes the following:

[0045] (1) Formulate dispatch instructions: Based on the analysis results and dispatch objectives, formulate corresponding dispatch instructions, including information such as travel time, speed limit, and driving route.

[0046] (2) Sending dispatch instructions: The dispatch instructions are sent to the corresponding vehicles in real time through the C-V2X communication module to control the vehicles to pass in a predetermined order.

[0047] (3) Monitoring execution status: The C-V2X communication module monitors the execution status of vehicles in real time to ensure that vehicles pass according to dispatch instructions and adjust instructions in time to meet actual traffic needs.

[0048] The feedback and adjustment module continuously collects feedback information during implementation to adjust and optimize scheduling and management strategies. This helps the system better adapt to changes and demands in the actual traffic environment, improving overall operational efficiency and service quality. Specifically, it includes the following aspects:

[0049] (1) Collecting feedback information: In the process of implementing the vehicle dispatch management method, it is necessary to continuously collect feedback information, including the vehicle's driving status, traffic conditions, road conditions, etc. This information can be obtained in real time through the C-V2X communication module.

[0050] (2) Analyze feedback information: Analyze the collected feedback information to understand the actual effect of vehicle dispatch management. This can help identify existing problems and deficiencies and provide reference for subsequent adjustments and optimizations.

[0051] (3) Adjusting dispatch instructions: Based on the analysis results and actual needs, the dispatch instructions are adjusted and optimized. This can include adjusting the vehicle's travel time, speed limit, driving route and other information to achieve better vehicle dispatch management results.

[0052] (4) Update the dispatch plan: Based on feedback information and adjustment results, update the vehicle dispatch management plan to adapt to the changes and needs of the actual traffic environment. This can help improve overall operational efficiency and service quality.

[0053] (5) Continuous Improvement: The C-V2X-based regional operational vehicle dispatch management method is a process of continuous improvement. By continuously collecting feedback information, analyzing problems, and adjusting solutions, the vehicle dispatch management method can be gradually improved and optimized, improving road safety and traffic efficiency, reducing communication and dispatch costs, and improving vehicle transportation efficiency.

[0054] After a period of implementation and application, the dispatching and management of the city's operating vehicles has achieved remarkable results:

[0055] It improves vehicle utilization and driving efficiency, and reduces empty driving rate and traffic congestion.

[0056] It has improved passengers' travel experience and service quality, and reduced complaints and congestion.

[0057] It improves the utilization efficiency of road and parking resources, and reduces resource waste and congestion.

[0058] It has improved urban traffic management and emergency response capabilities and reduced the impact of traffic accidents and emergencies.

[0059] Example 2

[0060] This embodiment provides a C-V2X-based regional vehicle dispatching and management method, which uses a C-V2X communication module to implement wireless communication and information exchange between vehicles, vehicles and roadside infrastructure, and vehicles and cloud systems, including:

[0061] Step 1: Collect vehicle data and traffic status data;

[0062] Step 2: Use data processing and analysis algorithms to analyze the collected vehicle data and traffic status data to obtain the distribution and flow of vehicles in the area;

[0063] Step 3: Determine the intersection passage order of vehicles based on vehicle driving information, the distribution and flow of vehicles in the area, and achieve the optimal passage order and traffic flow distribution;

[0064] Step 4: Send the optimal traffic sequence and traffic flow distribution information to each vehicle, including: travel time, speed limit, driving route, and parking arrangement, to achieve efficient scheduling and management of vehicles in the area.

[0065] Some steps in the embodiments of the present invention may be implemented using software, and the corresponding software program may be stored in a readable storage medium, such as a CD or a hard disk.

[0066] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A regional operation vehicle scheduling and management system based on C-V2X, characterized in that, The system includes: A C-V2X communication module for realizing wireless communication and information interaction between vehicles, between vehicles and roadside infrastructure, and between vehicles and cloud systems; A data acquisition module for acquiring vehicle data and traffic status data; A data processing and analysis module for analyzing the acquired vehicle data and traffic status data by using data processing and analysis algorithms to obtain the distribution and flow conditions of vehicles in the area; An intelligent sorting module for determining the intersection passing sequence of vehicles according to vehicle driving information, the distribution and flow conditions of vehicles in the area, and realizing the optimal passing sequence and traffic flow allocation; A scheduling instruction module for sending the optimal passing sequence and traffic flow allocation information to each vehicle, including: passing time, speed limit, driving route, parking point arrangement, to realize the efficient scheduling and management of vehicles in the area.

2. The regional operation vehicle scheduling management system based on C-V2X according to claim 1, wherein The system further includes: a feedback and adjustment module for collecting feedback information and adjusting and optimizing the scheduling and management strategies.

3. The regional operation vehicle dispatching management system based on C-V2X according to claim 1, wherein The data processing and analysis module includes: A data preprocessing module for preprocessing the acquired data, including data cleaning, format conversion, and outlier processing, to ensure the accuracy and integrity of the data; A traffic status evaluation module for evaluating the traffic status in the area based on the preprocessed data, including: traffic congestion degree, vehicle flow speed, traffic events, to provide a reference for subsequent scheduling decisions.

4. The regional operation vehicle dispatching and management system based on C-V2X according to claim 1, characterized in that, The intelligent sorting module determines the intersection passing sequence of each vehicle based on multiple factors, and the multiple factors include: the position, speed, direction, and destination of the vehicle.

5. The regional operation vehicle scheduling and management system based on C-V2X according to claim 1, wherein The roadside infrastructure includes: traffic lights, road monitoring cameras, and intelligent parking systems.

6. The regional operation vehicle scheduling and management system based on C-V2X according to claim 1, wherein, The operating vehicles include: taxis and buses.

7. The C-V2X-based regional operation vehicle dispatching and management system according to claim 6, wherein Vehicle scheduling management includes: dynamically adjusting the bus schedules and routes according to the changes in traffic flow.

8. The C-V2X-based regional operation vehicle dispatching and management system according to claim 6, wherein Vehicle scheduling management includes: intelligently allocating the positions and tasks of taxis according to road conditions and vehicle demands.

9. The regional operation vehicle dispatching and management system based on C-V2X according to claim 6, characterized in that, Vehicle scheduling management includes: intelligently managing the allocation of parking resources according to the usage of parking spaces.

10. A regional operation vehicle scheduling management method based on C-V2X, characterized in that, The method is implemented based on the system according to any one of claims 1-9, and uses a C-V2X communication module to realize wireless communication and information interaction between vehicles, between vehicles and roadside infrastructure, and between vehicles and cloud systems, including: Step 1: Acquire vehicle data and traffic status data; Step 2: Analyze the acquired vehicle data and traffic status data by using data processing and analysis algorithms to obtain the distribution and flow conditions of vehicles in the area; Step 3: Determine the intersection passing sequence of vehicles according to vehicle driving information, the distribution and flow conditions of vehicles in the area, and realize the optimal passing sequence and traffic flow allocation; Step 4: Send the optimal passing sequence and traffic flow allocation information to each vehicle, including: passing time, speed limit, driving route, parking point arrangement, to realize the efficient scheduling and management of vehicles in the area.

Images