Path recommendation method, device and platform
By querying the characteristic information of multiple accessible paths and passenger's journey preference information, we determine the recommended path that matches the characteristic information and the preference information, and provide the vehicle with the path so that it can drive according to the recommended path, solving the problem that the existing technology has failed to meet the diverse needs of passengers and improving the passenger's journey experience.
Patent Information
- Application Number
- CN202510459451.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-14
- Publication Date
- 2025-05-23
AI Technical Summary
Existing vehicle navigation technology only focuses on whether the path is passable and driving efficiency, and fails to meet the diverse needs of passengers during the journey, such as landscape viewing and live broadcasting on the Internet.
By querying the characteristic information of multiple accessible paths and passenger's journey preference information, a recommended path matching the characteristic information with the preference information is determined, and the vehicle is provided with the path so that it can drive according to the recommended path.
Improve passengers' travel experience, allowing passengers to better meet their needs during the journey by providing paths that match passenger preferences.
Smart Images

Figure CN120027817A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of computer technology, and in particular to a path recommendation method, device and platform. Background Art
[0002] Current vehicle navigation technology only focuses on whether the road is passable and driving efficiency when planning a route, such as path distance, driving time, and whether there is congestion.
[0003] As people's living standards improve, their demands for car travel may not only be limited to reaching the destination quickly, but also have more needs. For example, passengers who travel by car may pay more attention to the scenery along the way. For another example, passengers who travel long distances may pay more attention to how to kill time on the road. Summary of the invention
[0004] The embodiments of the present invention provide a route recommendation method, device and platform, which can recommend to a vehicle a route that meets the travel needs of passengers in the vehicle, thereby improving the travel experience of the passengers.
[0005] A first aspect of the present invention provides a path recommendation method, which is applied to a recommendation device, wherein the recommendation device is connected to a first vehicle through a network; the method comprises: querying a reachable path that enables the first vehicle to travel from a current position to a target position; when the reachable path includes multiple paths, obtaining characteristic information of each of the multiple paths, wherein each of the multiple paths enables the first vehicle to travel from the current position to the target position, and the characteristic information of different paths in the multiple paths is different; obtaining travel preference information of passengers in the first vehicle; determining a recommended path among the multiple paths based on the travel preference information and the characteristic information of each of the multiple paths, wherein the characteristic information of the recommended path matches the travel preference information; and providing the recommended path to the first vehicle so that the first vehicle travels from the current position to the target position via the recommended path.
[0006] In some embodiments, the characteristic information of each path among the multiple paths includes the scenery along the path, and the journey preference information includes the scenery preferred by the passenger; wherein the characteristic information of the recommended path matches the journey preference information, including: the scenery type of the scenery along the recommended path is consistent with the scenery type of the scenery preferred by the passenger.
[0007] In some embodiments, the characteristic information of each path among the multiple paths includes the mobile network signal strength of the path, and the journey preference information includes the mobile network demand of the passenger during the journey; wherein, the characteristic information of the recommended path and the journey preference information match, including: the matching degree between the mobile network signal strength of the recommended path and the mobile network demand of the passenger during the journey is greater than the matching degree between the mobile network signal strength of other paths and the mobile network demand of the passenger during the journey; wherein, the other paths are paths among the multiple paths other than the recommended path.
[0008] In some embodiments, the obtaining of the travel preference information of the passengers in the first vehicle includes: obtaining characteristic information of a historical driving path of the first vehicle, and calculating the travel preference information based on the characteristic information of the historical driving path.
[0009] In some embodiments, obtaining the travel preference information of the passenger in the first vehicle includes: providing an information input interface to the first vehicle for the passenger to input the travel preference information.
[0010] In some embodiments, the first vehicle is an autonomous vehicle.
[0011] In some embodiments, providing the recommended route to the first vehicle so that the first vehicle travels from the current location to the target location via the recommended route includes: providing a display interface to the first vehicle, the display interface being used to display the recommended route; wherein the first vehicle is used to travel from the current location to the target location via the recommended route after receiving a confirmation operation performed by the passenger on the display interface.
[0012] In some embodiments, the recommendation device is also connected to a second vehicle via a network; the method also includes: when the target location of the second vehicle is the same as the target location of the first vehicle, and the travel preference information of the passengers in the second vehicle is consistent with the travel preference information of the passengers in the first vehicle, providing the first vehicle with social information of the passengers in the second vehicle so that the passengers in the first vehicle can get to know the passengers in the second vehicle through the social information.
[0013] A second aspect of the present invention provides a path recommendation device, which is connected to a first vehicle via a network; the recommendation device comprises: a query unit, for querying a reachable path that enables the first vehicle to travel from a current position to a target position; a first acquisition unit, for acquiring characteristic information of each of the multiple paths when the reachable path includes multiple paths, wherein each of the multiple paths enables the first vehicle to travel from the current position to the target position, and the characteristic information of different paths in the multiple paths is different; a second acquisition unit, for acquiring journey preference information of passengers in the first vehicle; a determination unit, for determining a recommended path among the multiple paths based on the journey preference information and the characteristic information of each of the multiple paths, wherein the characteristic information of the recommended path matches the journey preference information; and a recommendation unit, for providing the recommended path to the first vehicle so that the first vehicle travels from the current position to the target position via the recommended path.
[0014] A third aspect of the present invention provides a route recommendation platform, comprising: at least one memory for storing an executable program; and at least one processor for executing the method described in the first aspect by running the executable program.
[0015] A fourth aspect of the present invention provides a computer-readable storage medium, comprising computer program instructions. When the computer program instructions are executed by a computer device, the computer device executes the method described in the first aspect.
[0016] A fifth aspect of the present invention provides a computer program product comprising instructions, which, when executed by a computer device, causes the computer device to perform the method as described in the first aspect.
[0017] Through the solution provided by the embodiment of the present invention, the vehicle can travel to the destination along a path that matches the travel preference information of the passengers in the vehicle, thereby improving the passengers' travel experience while ensuring that the vehicle can travel to the destination. BRIEF DESCRIPTION OF THE DRAWINGS
[0018] Figure 1 A schematic diagram of a system provided by an embodiment of the present invention; Figure 2 A flowchart of a path recommendation method provided by an embodiment of the present invention; Figure 3 A schematic diagram of a route recommendation device provided by an embodiment of the present invention. DETAILED DESCRIPTION
[0019] The following examples are used to illustrate the present invention but are not intended to limit the scope of the present invention.
[0020] To facilitate understanding of the solutions provided by the embodiments of the present invention, some terms that may be involved in the embodiments of the present invention are introduced.
[0021] Current location: also known as the departure point, starting position or starting point, refers to the location of the vehicle before it starts traveling to the destination.
[0022] Target location: also known as the destination, is the location where the vehicle is expected to reach.
[0023] Travel preferences: refers to what users like or tend to do during their travels, such as browsing cultural or natural landscapes, or live streaming on the Internet.
[0024] Journey preference information: refers to information indicating a passenger's journey preference.
[0025] Human landscape: Landscape created or transformed by human activities, including buildings, historical sites, cities, festivals and customs, etc., reflecting human culture, technology and social development.
[0026] Natural landscape: depends on natural laws such as geological structure, climate evolution, and biological evolution. For example, karst landform is formed by dissolution, and Jiuzhaigou Waterfall is shaped by hydrological erosion.
[0027] With the improvement of people's living standards and the improvement of road networks, it is becoming more and more common for people to travel by car or other vehicles, for example, family self-driving tours across the country or around the world. During the self-driving tour, although the navigation destination can be set, the passengers in the vehicle may have travel preferences such as browsing the scenery along the way or live streaming along the way. Among them, the landscape can be divided into cultural landscape, natural landscape and other types of landscape. Different users may prefer different types of landscape. For example, some people like cultural landscape, and some people like natural landscape. Live streaming requires the signal strength of the mobile network.
[0028] There may be multiple paths for the vehicle to travel from the current location to the target location, and the scenery along the different paths or the signal strength of the mobile network may be different. If the vehicle can travel to the target location via a path that matches the passenger's travel preferences, the passenger's travel experience can be improved.
[0029] In view of this, the present invention provides a route recommendation method, which can effectively improve the travel experience of passengers. In this method, first, a reachable path that enables a first vehicle to travel from a current position to a target position is queried; when the reachable path includes multiple paths, characteristic information of each of the multiple paths is obtained, wherein each of the multiple paths enables the first vehicle to travel from the current position to the target position, and the characteristic information of different paths in the multiple paths is different; then, the travel preference information of the passenger in the first vehicle is obtained; then, according to the travel preference information and the characteristic information of each of the multiple paths, a recommended path is determined in the multiple paths, wherein the characteristic information of the recommended path matches the travel preference information; and the recommended path is provided to the first vehicle so that the first vehicle travels from the current position to the target position via the recommended path. As a result, the first vehicle can travel to the destination via a path whose characteristic information matches the travel preference information of the passenger in the first vehicle, thereby effectively improving the travel experience of the passenger.
[0030] Figure 1 A system is shown. The system includes a recommendation device and a first vehicle, wherein the first vehicle is a vehicle that intends to drive from a current location to a target location. The recommendation device and the first vehicle may be connected via a network.
[0031] The recommended device may be any module, device, equipment, cluster or platform with data processing and communication functions. The first vehicle may be any form of automobile, such as a car, a bus, etc. The first vehicle carries at least one passenger. In some embodiments, the first vehicle may be an autonomous vehicle or an unmanned vehicle. The network may be a mobile communication network, such as a fifth generation mobile communication network (5G), a fourth generation mobile communication network (4G), etc.
[0032] The system can be used to implement the route recommendation method provided by the present invention. The process of the method may include the following steps: Figure 2 The steps described above. Figure 2 The execution subject of the steps shown may be a recommendation device.
[0033] In step 201 , the recommendation device may query a reachable path that enables the first vehicle to travel from a current location to a target location.
[0034] In some embodiments, the recommendation device may obtain the current position and target position of the first vehicle from the first vehicle, and use the current position as the navigation starting point and the target position as the navigation end point to call a navigation application for navigation, thereby obtaining a reachable path that enables the first vehicle to travel from the current position to the target position. Exemplarily, the navigation application may be a map application with navigation function, such as Amap, Baidu Map, etc.
[0035] The current location and the target location can be different cities, where the current location can be set to city A and the target location can be city B. The distance between city A and city B can be more than 100 kilometers, for example, 200 kilometers, 500 kilometers, 1000 kilometers or 2000 kilometers.
[0036] In step 202, when the reachable path includes multiple paths, the recommendation device obtains feature information of each of the multiple paths, wherein each of the multiple paths can enable the first vehicle to travel from the current position to the target position, and different paths in the multiple paths have different feature information.
[0037] There may be multiple paths that enable the first vehicle to travel from the current position to the target position, for example Figure 1 The first path, second path, etc. shown.
[0038] The recommendation device can access relevant websites or databases to query the characteristic information of each path.
[0039] In some embodiments, the characteristic information of each of the multiple paths includes the landscape along the path, and the recommendation device can query the landscape along each of the multiple paths. In one example, the recommendation device can access a travel website to query the landscape along each path, thereby obtaining the landscape along each path. In another example, the recommendation device can query the cities, towns, or villages that each path passes through, and then query the landscapes of the cities, towns, or villages that each path passes through, thereby obtaining the landscape along each path.
[0040] In some embodiments, the characteristic information of each of the multiple paths includes the mobile network signal strength of the path, and the recommendation device can query the mobile network signal strength of each of the multiple paths. In one example, the recommendation device can query the distribution density and power of the communication facilities (such as base stations) along each path, and calculate the mobile network signal strength of the path based on the queried distribution density and power of the communication facilities along the path. Among them, the greater the distribution density of the communication facilities along the path, the greater the power, and the greater the mobile network signal strength of the path. The smaller the distribution density of the communication facilities along the path, the smaller the power, and the smaller the mobile network signal strength of the path. In this way, the mobile network signal strength of each path can be obtained. In one example, the recommendation device can query the crowd concentration along each of the multiple paths, such as the distribution density of cities, towns and villages along the path. Among them, the crowd concentration along the path can be calculated by the distribution density of cities, towns and villages along the path, and the crowd concentration along the path is positively correlated with the distribution density of cities, towns and villages along the path. After obtaining the crowd concentration along the path, the mobile network signal strength of the path can be calculated according to the crowd concentration along the path. Among them, the mobile network signal strength is positively correlated with the crowd density along the way. It is not difficult to understand that mobile network operators usually set up base stations and other communication facilities according to the crowd density. Therefore, the greater the crowd density, the greater the mobile network signal strength.
[0041] In step 203 , the recommendation device may obtain travel preference information of passengers in the first vehicle.
[0042] The first vehicle may be equipped with a passenger. In some embodiments, the passenger may be the driver of the first vehicle, or a person other than the driver of the first vehicle. In some embodiments, the first vehicle may be an autonomous vehicle or an unmanned vehicle.
[0043] In some embodiments, the obtaining of the travel preference information of the passenger in the first vehicle includes: obtaining historical travel information of the passenger, and calculating the travel preference information based on the historical travel information.
[0044] The location checking module or device (such as a positioning module such as a GPS) in the first vehicle may report the most recently detected location to the recommendation device in real time or periodically. The recommendation device may calculate the historical travel path of the first vehicle based on the historically reported locations of the first vehicle received in history. Then, the recommendation device may obtain characteristic information of the historical travel path, and calculate the travel preference information of the passengers in the first vehicle based on the characteristic information of the historical travel path.
[0045] Taking the characteristic information of the historical driving path as the scenery along the way as an example, the recommendation module can identify the landscape type to which the scenery along the historical driving path belongs, and use the identified landscape type as the travel preference information of the passenger in the first vehicle. For example, if the scenery along the historical driving path belongs to the humanistic landscape, it can be determined that the travel preference information of the passenger in the first vehicle is the humanistic landscape. If the scenery along the historical driving path belongs to the natural landscape, it can be determined that the travel preference information of the passenger in the first vehicle is the natural landscape.
[0046] In some embodiments, obtaining the travel preference information of the passenger in the first vehicle includes: providing an information input interface to the first vehicle for the passenger to input the travel preference information.
[0047] The recommendation device may send an information input interface to the first vehicle. The first vehicle may display the information input interface to the passenger on a display screen configured therein. The information input interface may include an input box, etc., and the passenger may input travel preference information, such as cultural landscapes or online live broadcasts, etc., on the information input interface.
[0048] In step 204, the recommendation device determines a recommended route among the multiple routes according to the journey preference information and characteristic information of each route among the multiple routes, wherein the characteristic information of the recommended route matches the journey preference information.
[0049] The matching of the characteristic information of the recommended route and the journey preference information may be that the characteristic of the recommended route can satisfy the journey preference of the passenger.
[0050] In some embodiments, the characteristic information of each of the multiple paths includes the scenery along the path, and the journey preference information includes the scenery preferred by the passenger; wherein the characteristic information of the recommended path matches the journey preference information, including: the scenery type of the scenery along the recommended path is consistent with the scenery type of the scenery preferred by the passenger. Wherein, the journey preference information includes the scenery type of the scenery preferred by the passenger, and the recommendation device can identify the scenery type of the scenery along each path, and use the path whose scenery type of the scenery along the path is consistent with the scenery type of the scenery preferred by the passenger as the recommended path.
[0051] In some embodiments, the characteristic information of each path among the multiple paths includes the mobile network signal strength of the path, and the journey preference information includes the mobile network demand of the passenger during the journey; wherein, the characteristic information of the recommended path and the journey preference information match, including: the matching degree between the mobile network signal strength of the recommended path and the mobile network demand of the passenger during the journey is greater than the matching degree between the mobile network signal strength of other paths and the mobile network demand of the passenger during the journey; wherein, the other paths are paths among the multiple paths other than the recommended path.
[0052] If the passenger has a high demand for mobile network during the trip, the recommended route is the route with the strongest mobile network signal strength among the multiple routes. For example, if the trip preference information indicates that the passenger needs to broadcast live on the Internet during the trip, and the passenger has a high demand for mobile network during the trip, the route with the strongest mobile network signal strength among the multiple routes is used as the recommended route.
[0053] In step 205 , the recommendation device provides the recommended route to the first vehicle, so that the first vehicle travels from the current position to the target position via the recommended route.
[0054] The recommendation device may send the recommended route to the first vehicle, and the first vehicle may travel to the target location according to the recommended route.
[0055] In some embodiments, the navigation module of the first vehicle may receive the recommended route and navigate the first vehicle according to the recommended route so that the first vehicle travels to the target location according to the recommended route.
[0056] In some embodiments, providing the recommended route to the first vehicle so that the first vehicle travels from the current location to the target location via the recommended route includes: providing a display interface to the first vehicle, the display interface being used to display the recommended route; wherein the first vehicle is used to travel from the current location to the target location via the recommended route after receiving a confirmation operation performed by the passenger on the display interface.
[0057] In this embodiment, the first vehicle may display a recommended route to the passenger, and only after the passenger confirms to travel along the recommended route, the first vehicle travels to the target location along the recommended route.
[0058] In some embodiments, Figure 1As shown, the recommendation device is also connected to the second vehicle via a network; the method also includes: when the target location of the second vehicle is the same as the target location of the first vehicle, and the travel preference information of the passengers in the second vehicle is consistent with the travel preference information of the passengers in the first vehicle, providing the first vehicle with social information of the passengers in the second vehicle so that the passengers in the first vehicle can get to know the passengers in the second vehicle through the social information.
[0059] The travel preference information of passengers in different vehicles is consistent, which means that they have the same interests and hobbies and are potential friends. And they are driving to the same destination, so they can meet at the destination and become friends offline. This can expand people's social circle.
[0060] Among them, passengers in the vehicle can upload their social information to the recommendation device, so that the recommendation device can send their social information to other vehicles.
[0061] In one example, the social information may be a QQ account, a WeChat account, etc.
[0062] Therefore, through the route recommendation method provided in the embodiment of the present application, the vehicle can travel to the destination along the route that matches the travel preference information of the passengers in the vehicle, thereby ensuring that the vehicle can travel to the destination while improving the passengers' travel experience.
[0063] The embodiment of the present invention provides a route recommendation device 300. The recommendation device 300 is connected to a first vehicle via a network; the recommendation device includes: A query unit, configured to query a reachable path that enables the first vehicle to travel from a current position to a target position; a first acquisition unit, configured to acquire feature information of each of the plurality of paths when the reachable path includes a plurality of paths, wherein each of the plurality of paths enables the first vehicle to travel from the current position to the target position, and feature information of different paths in the plurality of paths is different; a second acquiring unit, configured to acquire travel preference information of passengers in the first vehicle; a determining unit, configured to determine a recommended route among the plurality of routes according to the journey preference information and characteristic information of each route among the plurality of routes, wherein the characteristic information of the recommended route matches the journey preference information; The recommendation unit is configured to provide the recommended route to the first vehicle so that the first vehicle travels from the current position to the target position via the recommended route.
[0064] The functions of the functional units of the recommendation device 300 can be referred to above. Figure 2 The illustrated method embodiment is described in detail.
[0065] The embodiment of the present invention provides a route recommendation platform. The user equipment may include at least one processor and at least one memory, wherein the memory stores computer instructions. When the processor executes the computer instructions, the user equipment may implement Figure 2 The method shown.
[0066] The embodiment of the present invention further provides a computer-readable storage medium, including computer program instructions. When the computer program instructions are executed by a computer device, the computer device executes Figure 2 The method shown.
[0067] The embodiment of the present invention also provides a computer program product comprising instructions, which, when executed by a computer device, causes the computer device to execute Figure 2 The method shown.
[0068] Although the present invention has been described in detail above by general description and specific embodiments, it is obvious to those skilled in the art that some modifications or improvements can be made to the present invention. Therefore, these modifications or improvements made without departing from the spirit of the present invention all belong to the scope of protection claimed by the present invention.
Claims
1. A route recommendation method, characterized in that: Applied to a recommendation device, the recommendation device is connected to a first vehicle via a network; the method comprises: Querying a reachable path that enables the first vehicle to travel from a current position to a target position; When the reachable path includes multiple paths, acquiring feature information of each of the multiple paths, wherein each of the multiple paths can enable the first vehicle to travel from the current position to the target position, and different paths in the multiple paths have different feature information; obtaining travel preference information of passengers in the first vehicle; determining a recommended route among the plurality of routes according to the journey preference information and characteristic information of each route among the plurality of routes, wherein the characteristic information of the recommended route matches the journey preference information; The recommended route is provided to the first vehicle so that the first vehicle travels from the current position to the target position via the recommended route.
2. The method according to claim 1, characterized in that The characteristic information of each of the multiple routes includes the landscape along the route, and the journey preference information includes the landscape preferred by the passenger; wherein the characteristic information of the recommended route matches the journey preference information, including: the landscape type of the landscape along the recommended route is consistent with the landscape type of the landscape preferred by the passenger; or, The characteristic information of each path among the multiple paths includes the mobile network signal strength of the path, and the journey preference information includes the mobile network demand of the passenger during the journey; wherein the characteristic information of the recommended path matches the journey preference information, including: the matching degree between the mobile network signal strength of the recommended path and the mobile network demand of the passenger during the journey is greater than the matching degree between the mobile network signal strength of other paths and the mobile network demand of the passenger during the journey; wherein the other paths are paths among the multiple paths other than the recommended path.
3. The method according to claim 1 or 2, characterized in that: The obtaining of the travel preference information of the passenger in the first vehicle includes: Acquiring characteristic information of a historical driving path of the first vehicle, and calculating the journey preference information based on the characteristic information of the historical driving path; or, An information input interface is provided to the first vehicle for the passenger to input the travel preference information.
4. The method according to claim 1 or 2, characterized in that: The first vehicle is an autonomous driving vehicle.
5. The method according to claim 1 or 2, characterized in that: The providing the recommended route to the first vehicle so that the first vehicle travels from the current position to the target position via the recommended route includes: Providing a display interface to the first vehicle, wherein the display interface is used to display the recommended route; Wherein, the first vehicle is used to travel from the current position to the target position via the recommended route after receiving the confirmation operation performed by the passenger on the display interface.
6. The method according to claim 1 or 2, characterized in that: The recommendation device is also connected to the second vehicle via a network; The method also includes: when the target location of the second vehicle is the same as the target location of the first vehicle, and the travel preference information of the passengers in the second vehicle is consistent with the travel preference information of the passengers in the first vehicle, providing the first vehicle with social information of the passengers in the second vehicle so that the passengers in the first vehicle can get to know the passengers in the second vehicle through the social information.
7. A route recommendation device, characterized in that: The recommendation device is connected to the first vehicle via a network; the recommendation device includes: A query unit, configured to query a reachable path that enables the first vehicle to travel from a current position to a target position; a first acquisition unit, configured to acquire feature information of each of the plurality of paths when the reachable path includes a plurality of paths, wherein each of the plurality of paths enables the first vehicle to travel from the current position to the target position, and feature information of different paths in the plurality of paths is different; a second acquiring unit, configured to acquire travel preference information of passengers in the first vehicle; a determining unit, configured to determine a recommended route among the plurality of routes according to the journey preference information and characteristic information of each route among the plurality of routes, wherein the characteristic information of the recommended route matches the journey preference information; The recommendation unit is configured to provide the recommended route to the first vehicle so that the first vehicle travels from the current position to the target position via the recommended route.
8. A route recommendation platform, characterized in that: include: at least one memory for storing an executable program; At least one processor, configured to execute the method according to any one of claims 1 to 6 by running the executable program.
9. A computer-readable storage medium, characterized in that: The method comprises computer program instructions. When the computer program instructions are executed by a computer device, the computer device performs the method according to any one of claims 1 to 6.
10. A computer program product comprising instructions, characterized in that When the instructions are executed by a computer device, the computer device is caused to perform the method according to any one of claims 1 to 6.