Vehicle route planning method and system
By using user-defined and systematic route collection, annotation, and optimization algorithms, the safety hazards and information sharing issues of special vehicle navigation systems have been resolved, enabling personalized route planning and information sharing, and improving the operational efficiency and safety of special vehicles.
Patent Information
- Application Number
- CN202511208643.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-08-27
- Publication Date
- 2025-11-18
AI Technical Summary
Traditional vehicle navigation systems cannot accurately identify and plan for the special needs of special vehicles, resulting in safety hazards and low operational efficiency. Furthermore, the lack of information sharing mechanisms leads to duplication of work and information asymmetry.
By collecting and labeling user-defined routes, combined with systematic filtering and optimization algorithms, route information is collected and labeled to achieve information sharing and dynamic updates, generating personalized routes that meet the needs of special vehicles.
It has improved the operational efficiency and safety of special vehicles, avoided potential safety hazards, promoted information sharing and dynamic updates, and enhanced traffic efficiency.
Smart Images
Figure CN120970675A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present document relates to the technical field of path planning, and in particular to a vehicle route planning method and system. BACKGROUND
[0002] With the rapid development of social economy, special vehicles play an increasingly important role in urban operation and various special tasks. Special vehicles, such as hazardous material transport vehicles, sludge trucks, fire trucks, etc., due to their special transportation needs and safety requirements, have extremely strict standards for route selection. For example, hazardous material vehicles need to avoid densely populated areas and high-risk road sections to prevent potential dangers; sludge trucks need to consider road carrying capacity and environmental protection requirements; and fire trucks need to choose the fastest and obstacle-free route to save valuable rescue time in emergency rescue.
[0003] However, traditional vehicle navigation systems have many shortcomings in planning special vehicle routes. On the one hand, these systems often lack precise identification and consideration of the special needs of special vehicles, and cannot effectively mark key information such as height limit, weight limit, maximum vehicle length, etc. on the route, resulting in potential violations or safety hazards for special vehicles during driving. On the other hand, the route planning provided by traditional navigation systems is relatively single, lacking flexibility and personalization, and cannot meet the diversified needs of special vehicles in different scenarios, such as restrictions or bans during certain time periods.
[0004] In addition, the planning of special vehicle routes also faces the problem of insufficient information sharing. There is a lack of effective route information exchange and sharing mechanism among drivers of different special vehicles, resulting in each driver needing to explore and plan the route on their own, which not only wastes time and effort, but also easily leads to duplication of effort and information asymmetry. This not only reduces the efficiency of special vehicles, but also may delay the execution of tasks in emergency situations.
[0005] In order to solve the above problems, a route planning method and system for special vehicles are needed, which aims to provide safer, more efficient and personalized route planning services for special vehicles through intelligent route collection, labeling, filtering and optimization. Through user-defined route collection and labeling, combined with systematic filtering and optimization algorithms, the invention can fully consider the special needs of special vehicles, while realizing effective sharing and dynamic updating of route information, thereby significantly improving the efficiency and safety of special vehicles. SUMMARY
[0006] One or more embodiments of the present specification provide a vehicle route planning method, comprising:
[0007] Collecting route information through recording, drawing or manual input, and saving the route to the system;
[0008] The collected route information is marked with applicable scenario information, and the applicable scenario information includes at least one of route type, applicable vehicle type, height limit, weight limit, maximum vehicle length, and applicable time period, and a label is set for the route;
[0009] The route data shared by the user is received, and the routes meeting the conditions are filtered according to the user demand;
[0010] The routes meeting the conditions are spliced, optimized and planned to generate a driving route meeting the user demand.
[0011] Further, the collection of route information specifically includes:
[0012] The height limit and weight limit information of the route are identified through GPS data;
[0013] The applicable vehicle type of the route is identified through map data;
[0014] The applicable time period is identified through historical driving data of the user.
[0015] Further, after the route information is collected, the visibility of the route is set, including private, shared or paid visibility, wherein the route with shared or paid visibility can be searched and used by other users.
[0016] Further, the setting methods of the private, shared or paid visibility include:
[0017] The private route is only visible to the creator;
[0018] The shared route is visible to all users and can be used for free;
[0019] The paid route is visible to all users, but can be used only after paying the fee.
[0020] Further, the method of splicing, optimizing and planning the routes meeting the conditions to generate a driving route meeting the user demand includes:
[0021] According to the starting point, the ending point and the applicable scenario information input by the user, the shared routes meeting the conditions are filtered;
[0022] The filtered shared routes are spliced to generate a preliminary route;
[0023] The preliminary route is optimized in combination with real-time traffic data to generate a final route.
[0024] Further, the method of optimizing the preliminary route in combination with real-time traffic data to generate a final route includes:
[0025] According to the route selected by the user, real-time traffic data is combined to avoid congested sections.
[0026] According to the applicable scene information, avoid the road sections that do not meet the height limit, weight limit, and maximum vehicle length requirements.
[0027] According to the applicable time period, avoid the road sections that are subject to traffic restrictions or bans.
[0028] Further, the applicable vehicle type information includes at least one of a hazardous chemical vehicle, a sludge vehicle, and a fire vehicle.
[0029] One or more embodiments of the present specification provide a vehicle route planning system, comprising:
[0030] A route collection module is configured to collect route information through recording, drawing, or manual input, and save the route to the system.
[0031] A route marking module is configured to mark the collected route information with applicable scene information, the applicable scene information including at least one of a route type, an applicable vehicle type, a height limit, a weight limit, a maximum vehicle length, and an applicable time period, and set a label for the route.
[0032] A route screening module is configured to receive route data shared by users, and screen routes that meet the conditions according to user needs.
[0033] A route planning module is configured to splice, optimize, and plan the screened routes that meet the conditions, and generate a driving route that meets user needs.
[0034] One or more embodiments of the present specification provide an electronic device, comprising:
[0035] a processor; and
[0036] a memory arranged to store computer-executable instructions that, when executed, cause the processor to implement the steps of the above vehicle route planning method.
[0037] One or more embodiments of the present specification provide a storage medium for storing computer-executable instructions that, when executed, implement the steps of the above vehicle route planning method.
[0038] By using the embodiments of the present application, through user-defined route collection and marking, combined with systematic screening and optimization algorithms, the special needs of special vehicles can be fully considered, and effective sharing and dynamic updating of route information can be realized, thereby significantly improving the operation efficiency and safety of special vehicles.
[0039] The above description is only a summary of the technical solutions of the present application. In order to enable one skilled in the art to better understand the technical means of the present application, the contents of the specification can be implemented, and in order to enable the above and other purposes, features and advantages of the present application to be more apparent and easy to understand, the specific embodiments of the present application are described below. BRIEF DESCRIPTION OF DRAWINGS
[0040] In order to more clearly illustrate the technical solutions in the one or more embodiments of the present application or the prior art, the drawings needed in the embodiment or prior art description will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments described in the present specification, and those skilled in the art can obtain other drawings according to these drawings without creative labor.
[0041] Figure 1 A flow chart of a vehicle route planning method provided by one or more embodiments of the present application;
[0042] Figure 2 A composition schematic diagram of a vehicle route planning system provided by one or more embodiments of the present application;
[0043] Figure 3 A structure schematic diagram of an electronic device provided by one or more embodiments of the present application. DETAILED DESCRIPTION
[0044] In order to enable one skilled in the art to better understand the technical solutions in the one or more embodiments of the present application, the technical solutions in the one or more embodiments of the present application will be described clearly and completely below in combination with the drawings in the one or more embodiments of the present application. Obviously, the described embodiments are only some embodiments of the present specification, not all embodiments. Based on the one or more embodiments of the present specification, all other embodiments obtained by one skilled in the art without creative labor should belong to the protection scope of the present document.
[0045] Method embodiment
[0046] According to the embodiments of the present application, a vehicle route planning method is provided, Figure 1 A flow chart of a vehicle route planning method provided by one or more embodiments of the present application is shown as Figure 1 The vehicle route planning method according to the embodiments of the present application specifically includes:
[0047] S1. Collect route information by recording, drawing or manual input, and save the route to the system.
[0048] Firstly, route information is collected in multiple ways and labeled and classified in detail to meet the needs of different users. Specifically, users can collect route information in three ways: first, record the driving route using a GPS device, which can record the vehicle's driving trajectory and related data in real time; through GPS data, identify the height and weight restrictions of the route to avoid vehicles that are too high or heavy from passing through certain sections; second, manually draw the route through mapping tools, identify the types of vehicles that can use the route through map data, such as certain sections may only allow certain types of vehicles to pass, such as hazardous materials vehicles or waste vehicles, etc. This method is suitable for users who have a clear plan for specific routes; third, manually input detailed information about the route in the system, which is suitable for users who already know the route but need to record and manage it in the system. In addition, historical driving data can be combined to identify suitable time periods and plan routes for driving during specific time periods to avoid traffic peaks or comply with certain section time restrictions.
[0049] After collecting route information, users can set the visibility of the route according to their needs. Route visibility is divided into three types: private, shared, and paid visibility. Among them, private routes are only visible to the creator, which is suitable for users who do not want to share route information with others, such as routes involving business secrets or personal privacy; shared routes are visible to all users and can be used for free, which encourages users to share useful routes with others, promoting the exchange and sharing of route information; paid visibility routes are visible to all users, but users need to pay a certain fee to use them, which is suitable for high-quality or special-value routes. Through the payment mechanism, the creator of the route can be compensated economically, and the quality and reliability of the route are guaranteed.
[0050] S2. Label the collected route information with applicable scenario information, including at least one of route type, applicable vehicle type, height limit, weight limit, maximum vehicle length, and applicable time period, and set a label for the route.
[0051] In order to ensure that the special vehicle can select the appropriate driving route according to its own characteristics and task requirements, the collected route information is marked in detail according to the applicable scene, and the corresponding label is set for these routes. The marking information includes route type, applicable vehicle type, height limit, weight limit, maximum vehicle length, and applicable time period, and the applicable vehicle type information includes at least one of hazardous chemical vehicle, sludge vehicle, and fire vehicle. For example, for a hazardous chemical vehicle, it is marked which routes are designed for such vehicles, and the height limit and weight limit of the route are also marked in detail, so as to ensure that the vehicle will not encounter obstacles due to height or weight problems during transportation; for a sludge vehicle, considering the bearing capacity of the road and environmental protection requirements, the routes suitable for such vehicles are marked; for a fire vehicle, according to the applicable time period and route type, the fastest and obstacle-free route is selected, and the best path for the fire vehicle is recommended.
[0052] S3. Receive the route data shared by the user, and filter the routes meeting the conditions according to the user's needs.
[0053] The route data shared by the user includes the route information collected by the user through recording, drawing or manual input, and the applicable scene information marked by the user for these routes, such as route type, applicable vehicle type, height limit, weight limit, maximum vehicle length and applicable time period. When a new user needs to plan a route, according to the starting point, ending point and applicable scene information input by the user, the routes meeting the conditions are filtered from the shared route data. For example, if the user needs to plan a route for a hazardous chemical vehicle from A to B, the system will filter out the routes marked as suitable for hazardous chemical vehicles and meeting the requirements of height limit, weight limit and other conditions from all shared routes.
[0054] S4. The routes meeting the conditions are spliced, optimized and planned to generate a driving route meeting the user's needs.
[0055] First, according to the starting point, the end point and the applicable scene information input by the user, the routes that meet the conditions are screened from the shared route data, these conditions including the applicable vehicle type, the height limit, the weight limit, the maximum vehicle length and the applicable time period, etc.; then, the system will splice these screened shared routes, connect multiple route segments to form a complete path from the starting point to the end point, generate a preliminary driving route, the generation of the preliminary route takes into account the continuity of the route and the basic applicable conditions, but has not yet considered real-time traffic conditions and other dynamic factors; then, the preliminary route is optimized in combination with real-time traffic data to generate the final driving route, this optimization process includes the following key steps: according to the route selected by the user, in combination with real-time traffic data, identify the current traffic congestion section, adjust the route to avoid the congested section; according to the marked applicable scene information, such as height limit, weight limit and maximum vehicle length, etc., check whether each section of the preliminary route meets these conditions, avoid sections that do not meet the height limit, weight limit, maximum vehicle length, etc. requirements; according to the applicable time period, check whether there is a limit or prohibition of the road section in the preliminary route, such as some road sections may prohibit the passage of specific types of vehicles during specific time periods, avoid these limited or prohibited road sections to ensure that the user can pass smoothly within the planned time.
[0056] If all the routes used are free routes, they can be used directly, if there are paid routes, the prices are marked, and the user can use them after payment.
[0057] Through the splicing, optimization and planning operations, the route generated by the system finally not only meets the starting point, the end point and the applicable scene information input by the user, but also takes into account real-time traffic conditions and other dynamic factors, thereby providing the user with a safe, efficient and feasible driving route.
[0058] The present application has the following advantages:
[0059] By using the embodiments of the present application, through user-defined route collection and labeling, highly personalized services can be provided for users to meet the needs of different users in different scenarios; combined with systematic screening and optimization algorithms, accurate route selection can be provided for users, fully considering the special needs of special vehicles, providing safer and more efficient route planning for special vehicles, avoiding safety hazards or illegal behavior caused by improper route selection; at the same time, effective sharing and dynamic updating of route information are realized, thereby significantly improving the operation efficiency and safety of special vehicles; by setting the visibility of the route, users can choose to privatize the route to protect their privacy and business interests, or choose to share or pay to share the route, promote the widespread dissemination and use of route information, and improve the traffic operation efficiency of the whole society.
[0060] System embodiment
[0061] According to an embodiment of the present application, a vehicle route planning system is provided, Figure 2 A schematic diagram of a vehicle route planning system according to an embodiment of the present application is shown in Figure 2 The vehicle route planning system according to an embodiment of the present application specifically comprises:
[0062] The route collection module 20 is configured to collect route information by recording, drawing or manual input, and save the route to the system.
[0063] The route marking module 22 is configured to mark the collected route information with applicable scenario information, the applicable scenario information including at least one of route type, applicable vehicle type, height limit, weight limit, maximum vehicle length, and applicable time period, and set a label for the route.
[0064] The route screening module 24 is configured to receive route data shared by users, and screen routes meeting the conditions according to user needs.
[0065] The route planning module 26 is configured to splice, optimize and plan the screened routes meeting the conditions, and generate a driving route meeting user needs.
[0066] The embodiment of the present application is a system corresponding to the above-mentioned method embodiment, and the specific operation of each module can be understood with reference to the description of the method embodiment, which will not be repeated here.
[0067] Device embodiment one
[0068] The embodiment of the present application provides an electronic device, as shown in Figure 3 The electronic device comprises a memory 30, a processor 32, and a computer program stored in the memory 30 and executable on the processor 32, wherein the computer program is executed by the processor 32 to implement the following method steps:
[0069] S1. Collect route information by recording, drawing or manual input, and save the route to the system.
[0070] S2. Mark the collected route information with applicable scenario information, the applicable scenario information including at least one of route type, applicable vehicle type, height limit, weight limit, maximum vehicle length, and applicable time period, and set a label for the route.
[0071] S3. Receive route data shared by users, and screen routes meeting the conditions according to user needs.
[0072] S4. Splice, optimize and plan the screened routes meeting the conditions, and generate a driving route meeting user needs.
[0073] Device embodiment two
[0074] The embodiment of the present application provides a computer readable storage medium, and the computer readable storage medium stores an implementation program of information transmission, and the program realizes the following method steps when being executed by a processor 32.
[0075] S1. Collect route information through recording, drawing or manual input, and save the route to a system;
[0076] S2. Label applicable scenario information of the collected route information, the applicable scenario information includes at least one of a route type, an applicable vehicle type, a height limit, a weight limit, a maximum vehicle length and an applicable time period, and set a label for the route;
[0077] S3. Receive route data shared by a user, and filter routes meeting conditions according to user demand;
[0078] S4. Splice, optimize and plan the filtered routes meeting conditions, and generate a driving route meeting user demand.
[0079] The computer readable storage medium in the embodiment includes but is not limited to ROM, RAM, a magnetic disk or an optical disk and the like.
[0080] Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: it can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacement for part or all of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present application.
Claims
1. A vehicle route planning method, characterized in that, include: Route information is collected by recording, drawing, or manual input, and the route is saved to the system; The collected route information is labeled with applicable scenario information, which includes at least one of route type, applicable vehicle type, height limit, weight limit, maximum vehicle length, and applicable time period, and a label is set for the route; Receive route data shared by users and filter routes that meet the user's requirements; The selected routes that meet the criteria are spliced, optimized, and planned to generate driving routes that meet the user's needs.
2. The vehicle route planning method according to claim 1, characterized in that, The collection of route information specifically includes: GPS data is used to identify height and weight restrictions for the route; Identify the applicable vehicle types for the route using map data; The applicable time period is identified by the user's historical driving data.
3. The vehicle route planning method according to claim 1, characterized in that, After collecting route information, the visibility of the route is set, including private, shared, or paid visibility. Routes with shared or paid visibility can be searched and used by other users.
4. The vehicle route planning method according to claim 3, characterized in that, The settings for private, shared, or paid visibility include: Private routes are only visible to their creator; Shared routes are visible to all users and are free to use; Paid routes are visible to all users, but a fee is required to use them.
5. The vehicle route planning method according to claim 1, characterized in that, The specific method for splicing, optimizing, and planning the selected routes that meet the criteria to generate driving routes that meet user needs is as follows: Based on the user's input of the starting point, destination, and applicable scenario information, filter out shared routes that meet the criteria; The selected shared routes are pieced together to generate a preliminary route; By combining real-time traffic data, the preliminary route is optimized to generate the final route.
6. The vehicle route planning method according to claim 5, characterized in that, The specific methods for optimizing the initial route and generating the final route by combining real-time traffic data include: Based on the user's selected route and combined with real-time traffic data, avoid congested sections of the road; Based on the applicable scenario information marked, avoid road sections that do not meet the requirements for height restrictions, weight restrictions, and maximum vehicle length; Avoid restricted or prohibited sections of road depending on the applicable time period.
7. The vehicle route planning method according to claim 1, characterized in that, The applicable vehicle type information includes at least one of the following: hazardous chemical vehicles, dump trucks, and fire trucks.
8. A vehicle route planning system, characterized in that, include: Route acquisition module: used to collect route information by recording, drawing or manual input, and save the route to the system; Route labeling module: used to label the collected route information with applicable scenario information, which includes at least one of route type, applicable vehicle type, height limit, weight limit, maximum vehicle length, and applicable time period, and to set labels for the route. Route filtering module: Used to receive route data shared by users and filter routes that meet the user's requirements; Route planning module: Used to stitch together, optimize and plan the selected routes that meet the criteria, and generate driving routes that meet the user's needs.
9. An electronic device, characterized in that, include: processor; as well as, A memory configured to store computer-executable instructions, which, when executed, cause the processor to implement the steps of the vehicle route planning method as described in any one of claims 1 to 7.
10. A storage medium, characterized in that, Used to store computer-executable instructions, which, when executed, implement the steps of the vehicle route planning method as described in any one of claims 1 to 7.