Route type determination method and device, equipment, vehicle, medium and program product

Abstract

The invention provides a route type determination method and device, equipment, a vehicle, a medium and a program product, which can be used in the technical field of intelligent driving. The method comprises the following steps: calculating a matching score between a target route and each preset route type according to parameter information of each characteristic parameter of the obtained target route and weight information of a plurality of preset route types; and determining the route type of the target route from a plurality of preset route types according to the matching score of the target route and each preset route type. According to the scheme, the route type of the target route is determined through the feature parameters of the target route and the weight information of the multiple preset route types, manual determination is not needed, and the efficiency of determining the route type is effectively improved.

Description

Technical Field

[0001] This application relates to the field of intelligent driving technology, and in particular to a method, apparatus, equipment, vehicle, medium, and program product for determining route type. Background Technology

[0002] With the development of technology, vehicles will recommend travel routes to users based on route type to improve the user's driving experience.

[0003] In existing technologies, the method for determining route types is usually based on the route parameters and the staff's own experience.

[0004] Therefore, existing methods for determining route types result in low efficiency in route type determination. Summary of the Invention

[0005] This application provides a route type determination method, apparatus, equipment, vehicle, medium, and program product to solve the problem that existing route type determination methods rely on manual methods to determine route types, resulting in low efficiency in route type determination.

[0006] In a first aspect, embodiments of this application provide a method for determining route type, including:

[0007] Obtain parameter information of at least one feature parameter of the target route, and weight information of multiple preset route types. The weight information of each preset route type includes the weight requirement of the preset route type for each feature parameter.

[0008] Based on the parameter information of each feature parameter and the weight information of each preset route type, the matching score between the target route and each preset route type is determined;

[0009] The route type of the target route is determined from the plurality of preset route types based on the matching score between the target route and each preset route type.

[0010] In one specific implementation, the parameter information for each feature parameter is a parameter value or a score.

[0011] In one specific implementation, if the parameter information of each feature parameter is a parameter value, determining the matching score between the target route and each preset route type based on the parameter information of each feature parameter and the weight information of each preset route type includes:

[0012] Based on the parameter value of each feature parameter, determine the score for each feature parameter;

[0013] Based on the score of each feature parameter and the weight information of each preset route type, the matching score between the target route and each preset route type is determined.

[0014] In one specific embodiment, the at least one feature parameter includes at least one parameter from at least one of the following categories: driving experience parameters, route attraction difference parameters, and route safety parameters.

[0015] The driving experience parameters include at least one of the following: route length, average radius of curvature of the route, route curve diversity parameters, and route elevation difference.

[0016] The route attraction difference parameters include at least one of the number of natural attractions and the number of cultural attractions;

[0017] The route safety parameters include at least one of the following: route maintenance level, route passability time, traffic volume, and number of terrain types. The route maintenance level is used to indicate the degree of route maintenance.

[0018] The plurality of preset route types include at least two of the following: a first route type, a second route type, a third route type, and a fourth route type.

[0019] In one specific implementation, if the at least one feature parameter includes the driving experience category parameter, then the weight information of the plurality of preset route types includes:

[0020] The weight of the route length of the fourth route type is greater than the weight of the route lengths of the first route type, the second route type, and the third route type;

[0021] The weight of the average radius of curvature of the third route type is greater than the weight of the average radius of curvature of the first route type, the second route type, and the fourth route type.

[0022] The weight of the route curve diversity parameter for the third route type is greater than the weight of the route curve diversity parameters for the first route type, the second route type, and the fourth route type.

[0023] The elevation difference of the third route type has a greater weight than the elevation differences of the first, second, and fourth route types.

[0024] In one specific implementation, the parameter values ​​of the route length, the route curve diversity parameter, and the route elevation difference are proportional to the score;

[0025] The parameter value of the average radius of curvature of the route is inversely proportional to the score.

[0026] In one specific embodiment, the route curve diversity parameter includes at least one of the following: total number of curves, average curve length, and total number of consecutive curves.

[0027] The step of determining the score for each feature parameter based on its value includes:

[0028] The first score is determined based on the total number of curves.

[0029] The second score is determined based on the average length of the curve.

[0030] The third score is determined based on the total number of consecutive curves.

[0031] The sum of the first score, the second score, and the third score is used as the score for the route curve diversity parameter.

[0032] In one specific implementation, if the at least one feature parameter includes the route attraction difference class parameter, then the weight information of the plurality of preset route types includes:

[0033] The weight of the number of natural attractions in the fourth route type is greater than the weight of the number of natural attractions in the second and third route types.

[0034] The weight of the number of natural attractions in the first route type is greater than the weight of the number of natural attractions in the second and third route types.

[0035] The weight of the number of cultural attractions in the second route type is greater than the weight of the number of cultural attractions in the first route type, the third route type, and the fourth route type.

[0036] In one specific implementation, the parameter values ​​of the number of natural attractions and the number of cultural attractions are proportional to the score.

[0037] In one specific implementation, if the at least one feature parameter includes the route safety class parameter, then the weight information of the plurality of preset route types includes:

[0038] The weight of the route maintenance level for the first route type is greater than the weight of the route maintenance levels for the third and fourth route types.

[0039] The weight of the route maintenance level for the second route type is greater than the weight of the route maintenance levels for the third and fourth route types.

[0040] The weight of the travel time for the first route type is greater than the weight of the travel time for the third and fourth route types;

[0041] The weight of the travel time for the second route type is greater than the weight of the travel time for the third and fourth route types.

[0042] The traffic flow weight of the first route type is greater than the traffic flow weights of the third route type and the fourth route type;

[0043] The traffic flow weight of the second route type is greater than the traffic flow weights of the third and fourth route types;

[0044] The weight of the number of terrain types in the third route type is greater than the weight of the number of terrain types in the first route type and the second route type;

[0045] The weight of the number of terrain types in the fourth route type is greater than the weight of the number of terrain types in the first route type and the second route type.

[0046] In one specific implementation, the parameter values ​​of the route maintenance level, the route passability duration, and the number of terrain types are proportional to the score;

[0047] The traffic flow parameter value is inversely proportional to the score.

[0048] In one specific implementation, if the at least one feature parameter includes the driving experience parameter, the route attraction difference parameter, and the route safety parameter, then the weight information of the plurality of preset route types further includes:

[0049] The weights of the number of natural scenic spots, route maintenance level, route passability time, and traffic volume for the first route type are greater than the weights of route length, average radius of curvature, route curve diversity parameters, route elevation difference, number of cultural scenic spots, and number of terrain types.

[0050] For the second route type, the weights of the number of cultural attractions, route maintenance level, route passability time, and traffic volume are greater than the weights of route length, average radius of curvature, route curve diversity parameters, route elevation difference, number of natural attractions, and number of terrain types.

[0051] The weights of the average radius of curvature, curve diversity parameters, elevation difference, and number of terrain types for the third route type are greater than the weights of route length, number of natural attractions, number of cultural attractions, route maintenance level, route passability time, and traffic volume.

[0052] The weights of route length, number of natural attractions, and number of terrain types for the fourth route type are greater than the weights of average radius of curvature, route curve diversity parameters, route elevation difference, number of cultural attractions, route maintenance level, route passability time, and traffic volume.

[0053] Secondly, embodiments of this application provide a route type determination device, comprising:

[0054] The acquisition module is used to acquire parameter information of at least one feature parameter of the target route, and weight information of multiple preset route types. The weight information of each preset route type includes the weight requirement of the preset route type for each feature parameter.

[0055] Processing module, used for:

[0056] Based on the parameter information of each feature parameter and the weight information of each preset route type, the matching score between the target route and each preset route type is determined;

[0057] The route type of the target route is determined from the plurality of preset route types based on the matching score between the target route and each preset route type.

[0058] Thirdly, embodiments of this application provide an electronic device, including:

[0059] Processor, memory, communication interface;

[0060] The memory is used to store the executable instructions of the processor;

[0061] The processor is configured to execute the route type determination method according to any one of the first aspects by executing the executable instructions.

[0062] Fourthly, embodiments of this application provide a vehicle, including an in-vehicle terminal;

[0063] The vehicle-mounted terminal is used to execute the route type determination method described in any of the first aspects above.

[0064] Fifthly, embodiments of this application provide a readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the route type determination method described in any of the first aspects.

[0065] In a sixth aspect, embodiments of this application provide a computer program product, including a computer program, which, when executed by a processor, is used to implement the route type determination method described in any of the first aspects.

[0066] The route type determination method, apparatus, equipment, vehicle, medium, and program products provided in this application calculate a matching score between the target route and each preset route type based on parameter information of each characteristic parameter of the target route and weight information of multiple preset route types. Then, based on the matching score, the route type of the target route is determined from the multiple preset route types. This solution determines the route type of the target route through the characteristic parameters of the target route and the weight information of multiple preset route types, eliminating the need for manual determination and effectively improving the efficiency of route type determination. Attached Figure Description

[0067] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0068] Figure 1 A flowchart illustrating an embodiment of the route type determination method provided in this application;

[0069] Figure 2 A flowchart illustrating the scoring process for determining the curve diversity parameters of the route provided in this application;

[0070] Figure 3 A schematic diagram of the structure of an embodiment of the route type determination device provided in this application;

[0071] Figure 4 This is a schematic diagram of the structure of an electronic device provided in this application. Detailed Implementation

[0072] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments made by those skilled in the art under the guidance of these embodiments are within the scope of protection of this application.

[0073] The terms “first,” “second,” “third,” “fourth,” etc. (if present) in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a particular order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms “comprising” and “having,” and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0074] With the development of technology, vehicles are equipped with more and more functions, greatly improving the user's driving experience. They can not only plan routes, but also recommend routes based on route type.

[0075] In existing technologies, the method for determining route types usually involves staff determining the route type based on route parameters and their own experience, which leads to low efficiency.

[0076] To address the problems existing in the prior art, the inventors, during their research on route type determination methods, discovered that to improve the efficiency of route type determination, weights are set for different route types on different characteristic parameters of the route, thereby determining the score of each characteristic parameter of the route. The matching score between the route and different route types is calculated based on the weights, and the route type is determined according to the matching score. Based on the above inventive concept, the route type determination scheme in this application was designed.

[0077] The execution subject of the route type determination method in this application can be an in-vehicle terminal, or a server, computer, vehicle, etc. This application does not limit it. The following explanation uses an in-vehicle terminal as an example.

[0078] The following provides examples illustrating the application scenarios of the route type determination method provided in this application.

[0079] For example, in this application scenario, if a user needs to drive to their destination or wants to participate in a carpooling activity, the in-vehicle terminal will find multiple routes. In order to recommend a route that matches the user's habits, it is necessary to determine the route type of each route.

[0080] The vehicle terminal takes each found route as the target route, obtains parameter information of multiple feature parameters of the target route, and weight information of multiple preset route types. The weight information of each preset route type includes the weight requirement of the preset route type for each feature parameter.

[0081] Then, based on the parameter information of each feature parameter and the weight information of each preset route type, the matching score between the target route and each preset route type is determined.

[0082] Based on the matching score between the target route and each preset route type, the route type of the target route is determined from multiple preset route types. In other words, the preset route type with the highest matching score with the target route is taken as the route type of the target route.

[0083] After the vehicle terminal determines the route type for each target route, it recommends routes to the user based on the user's preference for each route type, and the user can drive the vehicle along the recommended route.

[0084] It should be noted that the above scenario is only an example of an application scenario provided by the embodiments of this application. The embodiments of this application do not limit the actual form of the various devices included in the scenario. In the specific application of the solution, it can be set according to actual needs.

[0085] The technical solution of this application will now be described in detail through specific embodiments. It should be noted that the following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described again in some embodiments.

[0086] Figure 1 This is a flowchart illustrating an embodiment of the route type determination method provided in this application. This embodiment describes how an on-board terminal determines the route type of a target route based on parameter information of the target route's characteristic parameters and weight information of multiple preset route types. The method in this embodiment can be implemented through software, hardware, or a combination of both. Figure 1 As shown, the method for determining the route type specifically includes the following steps:

[0087] S101: Obtain parameter information of at least one feature parameter of the target route, as well as weight information of multiple preset route types.

[0088] In this step, in order to determine the route type of the target route, the vehicle terminal first obtains parameter information of multiple feature parameters of the target route, as well as weight information of multiple preset route types.

[0089] The weight information for each preset route type includes the weight requirement for each feature parameter for that preset route type.

[0090] The parameter information for each feature parameter is either the parameter value or a score.

[0091] It should be noted that at least one characteristic parameter of the target route includes at least one parameter from at least one of the following categories: driving experience parameters, route scenic spot difference parameters, and route safety parameters. Driving experience parameters include at least one of the following: route length, average radius of curvature, route curve diversity, and route elevation difference. Route scenic spot difference parameters include at least one of the following: number of natural scenic spots and number of cultural scenic spots. Route safety parameters include at least one of the following: route maintenance level, route traversability duration, traffic volume, and number of terrain types. The route maintenance level indicates the degree of route maintenance. Route curve diversity parameters include at least one of the following: total number of curves, average curve length, and total number of consecutive curves. Route traversability duration refers to the duration during which the route is traversable within one year. The number of natural scenic spots refers to the average number of natural scenic spots per unit distance; the number of cultural scenic spots refers to the average number of cultural scenic spots per unit distance; and traffic volume refers to the average traffic volume per unit time. The unit distance can be 5 km, 10 km, 15 km, etc., and the unit time can be half an hour, 1 hour, 2 hours, etc. The embodiments of this application do not limit the feature parameters, unit distance, or unit duration, which can be determined according to the actual situation.

[0092] S102: Determine the matching score between the target route and each preset route type based on the parameter information of each feature parameter and the weight information of each preset route type.

[0093] In this step, after the vehicle terminal obtains the feature information and weight information, it determines the matching score between the target route and each preset route type based on the parameter information of each feature parameter and the weight information of each preset route type.

[0094] Specifically, if the parameter information for each feature parameter is a parameter value, then the score for each feature parameter is determined based on that parameter value. Since each feature parameter has a corresponding range of parameter values ​​and a corresponding score, the score for each feature parameter can be determined based on the parameter value of each feature parameter in the target route.

[0095] Then, based on the score of each feature parameter and the weight information of each preset route type, the matching score between the target route and each preset route type is determined.

[0096] If the parameter information for each feature parameter is a score, then the matching score between the target route and each preset route type is determined based on the score of each feature parameter and the weight information of each preset route type.

[0097] Since the weight information of each preset route type includes the weight requirement of the preset route type for each feature parameter, for each preset route type, the weight of the preset route type for each feature parameter can be generated. Then, the weight of the preset route type for each feature parameter is multiplied by the score of the feature parameter and summed to obtain the matching score between the target route and the preset route type.

[0098] It should be noted that the weight requirement of the preset route type for each feature parameter can also be the weight of the preset route type for each feature parameter. You can directly multiply the weight of the preset route type for each feature parameter by the score of that feature parameter and then sum them to obtain the matching score between the target route and the preset route type.

[0099] The matching score is used to characterize the degree of matching between the target route and the preset route type. The higher the matching score, the greater the degree of matching between the target route and the preset route type.

[0100] S103: Determine the route type of the target route from multiple preset route types based on the matching score between the target route and each preset route type.

[0101] In this step, after the vehicle terminal determines the matching score between the target route and each preset route type, the preset route type with the highest matching score among the multiple preset route types is taken as the route type of the target route.

[0102] The route type determination method provided in this embodiment calculates the matching score between the target route and each preset route type based on the parameter information of each feature parameter of the acquired target route and the weight information of multiple preset route types. Then, based on the matching score between the target route and each preset route type, the route type of the target route is determined from the multiple preset route types. This solution determines the route type of the target route through the feature parameters of the target route and the weight information of multiple preset route types, eliminating the need for manual determination, effectively improving the efficiency of route type determination, and also improving the accuracy of the determined route type.

[0103] Based on the above embodiments, Embodiment 2 of the route type determination method provided in this application describes the determination of the score of the feature parameter and the weight information of multiple preset route types when at least one feature parameter includes a driving experience parameter.

[0104] Route length, average radius of curvature, curve diversity, and elevation difference are all characteristic parameters that reflect the user's driving experience, so the route type can be determined based on these parameters.

[0105] The parameters of route length, route curve diversity, and route elevation difference are directly proportional to the score, while the parameter of average radius of curvature of the route is inversely proportional to the score.

[0106] For the route curve diversity parameter, since the route curve diversity parameter includes at least one of the total number of curves, the average length of curves, and the total number of consecutive curves, it is necessary to determine the score of the route curve diversity parameter by knowing the total number of curves, the average length of curves, the total number of consecutive curves, and the corresponding parameter value ranges and scores for each of them.

[0107] Figure 2 A flowchart illustrating the scoring process for determining the route curve diversity parameters provided in this application is shown below. Figure 2 As shown, the specific steps include:

[0108] S201: Determine the first score based on the total number of curves.

[0109] In this step, there is a corresponding parameter range and a score relationship between the total number of curves. Therefore, the first score can be determined based on the total number of curves. The total number of curves is directly proportional to the first score.

[0110] S202: Determine the second score based on the average length of the curve.

[0111] In this step, there is a corresponding parameter range for the average curve length and a corresponding score. Therefore, the second score can be determined based on the average curve length. The average curve length is directly proportional to the second score.

[0112] S203: The third score is determined based on the total number of consecutive curves.

[0113] In this step, there is a corresponding parameter value range and a scoring relationship between the total number of consecutive curves. Therefore, the third score can be determined based on the value of the total number of consecutive curves. The value of the total number of consecutive curves is directly proportional to the third score.

[0114] S204: The sum of the first score, the second score, and the third score is used as the score for the route curve diversity parameter.

[0115] In this step, after determining the first score, the second score, and the third score, summing them together will yield the score for the route curve diversity parameter.

[0116] The accuracy of scoring the route curve diversity parameter is improved by determining the score based on the total number of curves, the average length of curves, and the total number of consecutive curves.

[0117] For example, the correspondence between the parameter value range corresponding to the route length and the score can be as follows: when the route length is in the range [0, 20), the unit is kilometers and the score is 3 points; when the route length is in the range [20, 100), the unit is kilometers and the score is 5 points; when the route length is in the range [100, 300), the unit is kilometers and the score is 7 points; when the route length is in the range [300, +∞), the unit is kilometers and the score is 10 points.

[0118] For example, the correspondence between the parameter range corresponding to the average radius of curvature of the route and the score can be as follows: when the average radius of curvature of the route is in [0, 200), the unit is meters and the score is 10 points; when the average radius of curvature of the route is in [200, 500), the unit is meters and the score is 6 points; when the average radius of curvature of the route is in [5000, +∞), the unit is meters and the score is 3 points.

[0119] For example, the correspondence between the parameter value range corresponding to the total number of curves and the score can be as follows: when the total number of curves is [0, 20), the score is 3 points; when the total number of curves is [20, 100), the score is 6 points; and when the total number of curves is [100, +∞), the score is 10 points.

[0120] For example, for the average length of a curve, the correspondence between the parameter value range corresponding to the average length of the curve and the score can be as follows: when the average length of the curve is in the range of [0, 100), the unit is meters and the score is 3 points; when the average length of the curve is in the range of [100, 300), the unit is meters and the score is 6 points; when the average length of the curve is in the range of [300, +∞), the unit is meters and the score is 10 points.

[0121] For example, the correspondence between the parameter value range corresponding to the total number of consecutive curves and the score can be as follows: when the total number of consecutive curves is in [0, 5), the score is 3 points; when the total number of consecutive curves is in [5, 20), the score is 6 points; when the total number of consecutive curves is in [20, +∞), the score is 10 points.

[0122] For example, for the elevation difference of a route, the corresponding parameter value range and the score can be as follows: when the elevation difference of a route is in the range of [0, 100), the unit is meters and the score is 3 points; when the elevation difference of a route is in the range of [100, 500), the unit is meters and the score is 6 points; when the elevation difference of a route is in the range of [500, +∞), the unit is meters and the score is 10 points.

[0123] It should be noted that this application does not limit the correspondence between the parameter value range and the score for route length, average radius of curvature, total number of curves, average length of curves, total number of consecutive curves, and route elevation difference, and can be determined according to the actual situation.

[0124] Multiple preset route types include at least two of the following: a first route type, a second route type, a third route type, and a fourth route type.

[0125] The first route type is the route preferred by users who prefer relaxed cruising. The route length is medium to short, with small curvature of curves, few curves, short average length of curves, few consecutive curves, and small elevation difference.

[0126] The second route type is the route preferred by users who prefer urban exploration. The route length is short, the curvature of the curves is moderate, the number of curves is moderate, the average length of the curves is moderate, the total number of consecutive curves is moderate, and the elevation difference of the route is small.

[0127] The third route type is the route preferred by users who like mountain driving. The route length is medium to long, with large curvature of curves, a large number of curves, a long average length of curves, a large total number of consecutive curves, and a large elevation difference.

[0128] The fourth route type is the route preferred by users who like adventure. The route length is medium to long, with small curvature of curves, few curves, short average length of curves, few consecutive curves, and large elevation difference.

[0129] The route length of the fourth route type has a greater weight than the route lengths of the first, second, and third route types.

[0130] It should be noted that the weight of the route length for the fourth route type can be 0.2, 0.25, 0.3, etc., and the weights of the route lengths for the first, second, and third route types can be 0.05, 0.1, 0.15, etc. This application embodiment does not limit the weights of the route lengths for the first, second, third, and fourth route types, nor does it limit the relative magnitudes of the weights of the route lengths for the first, second, and third route types. These weights can be determined according to the actual situation.

[0131] The weight of the average radius of curvature of the third route type is greater than the weight of the average radius of curvature of the first, second, and fourth route types.

[0132] It should be noted that the weight of the average radius of curvature of the third route type can be 0.25, 0.3, 0.35, etc., and the weight of the average radius of curvature of the first, second, and fourth route types can be 0.05, 0.1, 0.15, etc. This application does not limit the weight of the average radius of curvature of the first, second, third, and fourth route types, nor does it limit the relationship between the magnitudes of the weights of the average radius of curvature of the first, second, and fourth route types. It can be determined according to the actual situation.

[0133] The route curve diversity parameter for the third route type has a greater weight than the route curve diversity parameters for the first, second, and fourth route types.

[0134] It should be noted that the weight of the curve diversity parameter for the third route type can be 0.25, 0.3, 0.35, etc., and the weight of the curve diversity parameter for the first, second, and fourth route types can be 0.05, 0.1, 0.15, etc. This application embodiment does not limit the weight of the curve diversity parameter for the first, second, third, and fourth route types, nor does it limit the size relationship of the weights of the curve diversity parameter for the first, second, and fourth route types. It can be determined according to the actual situation.

[0135] The elevation difference of the third route type has a greater weight than that of the elevation differences of the first, second, and fourth route types.

[0136] It should be noted that the weight of the elevation difference for the third route type can be 0.15, 0.2, 0.25, etc., and the weight of the elevation difference for the first, second, and fourth route types can be 0.05, 0.07, 0.1, etc. This application does not limit the weight of the elevation difference for the first, second, third, and fourth route types, nor does it limit the relative magnitude of the weights of the elevation differences for the first, second, and fourth route types. The weights can be determined according to the actual situation.

[0137] The route type determination method provided in this embodiment effectively distinguishes route types and improves the accuracy of route type determination by including at least one feature parameter that reflects the user's driving experience, and by assigning different weights to these parameters for the four route types.

[0138] Based on the above embodiments, Embodiment 3 of the route type determination method provided in this application describes the determination of the score of the feature parameter and the weight information of multiple preset route types when at least one feature parameter includes a route attraction difference parameter.

[0139] The number of natural attractions and cultural attractions are characteristic parameters that reflect the differences in attractions along a route, so the route type can be determined based on these parameters.

[0140] The parameter values ​​for the number of natural attractions and cultural attractions are directly proportional to the score.

[0141] For example, the correspondence between the parameter value range corresponding to the number of natural attractions and the score can be as follows: when the number of natural attractions is in [0, 3), the score is 3 points; when the number of natural attractions is in [3, 10), the score is 6 points; when the number of natural attractions is in [10, +∞), the score is 10 points.

[0142] For example, the relationship between the parameter range corresponding to the number of cultural attractions and the score can be as follows: when the number of cultural attractions is in [0, 2), the score is 3 points; when the number of cultural attractions is in [2, 4), the score is 6 points; and when the number of cultural attractions is in [4, +∞), the score is 10 points.

[0143] It should be noted that this application does not limit the correspondence between the parameter value range and the score for the number of natural attractions and the number of cultural attractions, and can be determined according to the actual situation.

[0144] The first type of route has a large number of natural attractions and a moderate number of cultural attractions. The second type of route has a moderate number of natural attractions and a large number of cultural attractions. The third type of route has few natural attractions and few cultural attractions. The fourth type of route has a large number of natural attractions and few cultural attractions.

[0145] The weight of the number of natural attractions in the fourth route type is greater than the weight of the number of natural attractions in the second and third route types.

[0146] The weight of the number of natural attractions in the first route type is greater than the weight of the number of natural attractions in the second and third route types.

[0147] It should be noted that the weights of the number of natural attractions in the first and fourth route types can be 0.2, 0.25, 0.3, etc., and the weights of the number of natural attractions in the second and third route types can be 0.05, 0.1, 0.15, etc. This application does not limit the weights of the number of natural attractions in the first, second, third, and fourth route types, nor does it limit the relative magnitudes of the weights of the number of natural attractions in the first and fourth route types, nor does it limit the relative magnitudes of the weights of the number of natural attractions in the second and third route types; these weights can be determined according to the actual situation.

[0148] The weight of cultural attractions in the second route type is greater than the weight of cultural attractions in the first, third, and fourth route types.

[0149] It should be noted that the weight of the number of cultural attractions in the second route type can be 0.2, 0.25, 0.3, etc., and the weight of the number of cultural attractions in the first, third, and fourth route types can be 0.05, 0.1, 0.15, etc. This application embodiment does not limit the weight of the number of cultural attractions in the first, second, third, and fourth route types, nor does it limit the size relationship of the weight of the number of cultural attractions in the first, third, and fourth route types. It can be determined according to the actual situation.

[0150] The route type determination method provided in this embodiment effectively distinguishes route types and improves the accuracy of route type determination by including at least one parameter in the feature parameters that reflects the differences in attractions along the route, and by assigning different weights to these parameters for the four route types.

[0151] Based on the above embodiments, Embodiment 4 of the route type determination method provided in this application describes the determination of the score of the feature parameter and the weight information of multiple preset route types when at least one feature parameter includes a route safety class parameter.

[0152] The route maintenance level, the route's passability duration, traffic volume, and the number of terrain types are all characteristic parameters that reflect the route's safety, so the route type can be determined based on these parameters.

[0153] The maintenance level of a route is directly proportional to the degree of maintenance of the route. The higher the maintenance level, the higher the degree of maintenance and the less damage to the route.

[0154] The parameters of route maintenance level, route passability duration, and number of terrain types are directly proportional to the score; the parameter of traffic volume is inversely proportional to the score.

[0155] For example, road surface maintenance levels are divided into three levels: 1, 2, and 3. The correspondence between the parameter value range and the score for each road surface maintenance level can be as follows: when the road surface maintenance level is (0, 1], the score is 3 points; when the road surface maintenance level is (1, 2], the score is 6 points; and when the road surface maintenance level is (2, 3], the score is 10 points.

[0156] For example, the correspondence between the parameter value range corresponding to the route passability duration and the score can be as follows: when the route passability duration is in the range of [0, 100), the unit is days, and the score is 3 points; when the route passability duration is in the range of [100, 200), the unit is days, and the score is 6 points; when the route passability duration is in the range of [200, +∞), the unit is days, and the score is 10 points.

[0157] For example, the correspondence between the parameter value range corresponding to traffic flow and the score can be as follows: when the traffic flow is in the range of [0, 50), the score is 10 points; when the traffic flow is in the range of [50, 200), the score is 6 points; and when the traffic flow is in the range of [200, +∞), the score is 3 points.

[0158] For example, the correspondence between the parameter value range corresponding to the number of terrain types and the score can be as follows: when the number of terrain types is (0, 1], the score is 3 points; when the number of terrain types is (1, 2], the score is 6 points; and when the number of terrain types is (2, +∞), the score is 10 points. The terrain types can be plains, mountains, hills, plateaus, etc.

[0159] It should be noted that this application embodiment does not limit the correspondence between the parameter value range and the score corresponding to the route maintenance level, route passability time, traffic flow, and number of terrain types, and can be determined according to the actual situation.

[0160] The first type of route has a high level of maintenance, a long passable time, low traffic volume, and a small number of terrain types.

[0161] The second type of route has a high level of route maintenance, a long passable time, moderate traffic volume, and a small number of terrain types.

[0162] The third type of route has a medium level of route maintenance, a medium route passability time, low traffic volume, and a large number of terrain types.

[0163] The fourth type of route has a high level of route maintenance, a moderate route passability time, low traffic volume, and a large number of terrain types.

[0164] The route maintenance level for the first route type has a higher weight than that for the third and fourth route types.

[0165] The route maintenance level for the second route type has a higher weight than that for the third and fourth route types.

[0166] It should be noted that the weights of the route maintenance levels for the first and second route types can be 0.15, 0.2, 0.25, etc., and the weights of the route maintenance levels for the third and fourth route types can be 0.05, 0.07, 0.1, etc. This application does not limit the weights of the route maintenance levels for the first, second, third, and fourth route types, nor does it limit the relative magnitude of the weights of the first and second route types, nor does it limit the relative magnitude of the weights of the third and fourth route types; these can be determined according to the actual situation.

[0167] The weight of the travel time for route type 1 is greater than that for route types 3 and 4.

[0168] The weight of the travel time for route type 2 is greater than that for route types 3 and 4.

[0169] It should be noted that the weights of the passable travel time for the first and second route types can be 0.15, 0.2, 0.25, etc., and the weights of the passable travel time for the third and fourth route types can be 0.05, 0.07, 0.1, etc. This application does not limit the weights of the passable travel time for the first, second, third, and fourth route types, nor does it limit the relative magnitude of the weights of the first and second route types, nor does it limit the relative magnitude of the weights of the third and fourth route types; these weights can be determined according to the actual situation.

[0170] The traffic volume of the first route type has a greater weight than that of the third and fourth route types.

[0171] The traffic volume of the second route type has a greater weight than that of the third and fourth route types.

[0172] It should be noted that the weights of traffic flow for the first and second route types can be 0.2, 0.25, 0.3, etc., and the weights of traffic flow for the third and fourth route types can be 0.05, 0.1, 0.15, etc. This application does not limit the weights of traffic flow for the first, second, third, and fourth route types, nor does it limit the relative magnitudes of the weights of the first and second route types, nor does it limit the relative magnitudes of the weights of the third and fourth route types; these can be determined according to the actual situation.

[0173] The weight of the number of terrain types in the third route type is greater than the weight of the number of terrain types in the first and second route types.

[0174] The weight of the number of terrain types in the fourth route type is greater than the weight of the number of terrain types in the first and second route types.

[0175] It should be noted that the weights of the number of terrain types for the first and second route types can be 0.05, 0.1, 0.15, etc., and the weights of the number of terrain types for the third and fourth route types can be 0.2, 0.25, 0.3, etc. This application does not limit the weights of the number of terrain types for the first, second, third, and fourth route types, nor does it limit the relative magnitudes of the weights of the first and second route types, nor does it limit the relative magnitudes of the weights of the third and fourth route types; these can be determined according to the actual situation.

[0176] The route type determination method provided in this embodiment effectively distinguishes route types and improves the accuracy of route type determination by including at least one parameter reflecting route safety in at least one feature parameter, and by assigning different weights to these parameters for the four route types.

[0177] Based on the above embodiments, Embodiment 5 of the route type determination method provided in this application explains the weight information of multiple preset route types when at least one feature parameter includes driving experience parameters, route attraction difference parameters, and route safety parameters.

[0178] For the first route type, the weight of the number of natural scenic spots, the route maintenance level, the route passability time, and the traffic volume is greater than the weight of the route length, the average radius of curvature of the route, the route curve diversity parameter, the route elevation difference, the number of cultural scenic spots, and the number of terrain types.

[0179] It should be noted that this application embodiment does not limit the weight relationship of the number of natural scenic spots, route maintenance level, route passability time, and traffic volume of the first route type, nor does it limit the weight relationship of the route length, average radius of curvature, route curve diversity parameter, route elevation difference, number of cultural scenic spots, and number of terrain types of the first route type. These can be determined according to the actual situation.

[0180] For the second type of route, the weight of the number of cultural attractions, the route maintenance level, the route passability time, and the traffic volume is greater than the weight of the route length, the average radius of curvature of the route, the route curve diversity parameters, the route elevation difference, the number of natural attractions, and the number of terrain types.

[0181] It should be noted that this application embodiment does not limit the weight relationship of the number of cultural attractions, route maintenance level, route passability time, and traffic volume of the second route type, nor does it limit the weight relationship of the route length, average radius of curvature, route curve diversity parameter, route elevation difference, number of natural attractions, and number of terrain types of the second route type. These can be determined according to the actual situation.

[0182] For the third route type, the weight of the average radius of curvature, the diversity of curves, the elevation difference, and the number of terrain types is greater than the weight of the route length, the number of natural attractions, the number of cultural attractions, the route maintenance level, the route's passability time, and the traffic volume.

[0183] It should be noted that this application embodiment does not limit the weight relationship of the average radius of curvature of the route, the diversity parameters of the route curves, the elevation difference of the route, and the number of terrain types for the third route type, nor does it limit the weight relationship of the route length, the number of natural attractions, the number of cultural attractions, the route maintenance level, the route passability time, and the traffic volume for the third route type. These can be determined according to the actual situation.

[0184] For the fourth route type, the weight of route length, number of natural attractions, and number of terrain types is greater than the weight of average radius of curvature, route curve diversity parameter, route elevation difference, number of cultural attractions, route maintenance level, route passability time, and traffic volume.

[0185] It should be noted that this application embodiment does not limit the weight relationship of the route length, the number of natural scenic spots, and the number of terrain types of the fourth route type, nor does it limit the weight relationship of the average radius of curvature of the route, the route curve diversity parameter, the route elevation difference, the number of cultural scenic spots, the route maintenance level, the route passable time, and the traffic volume of the fourth route type. These can be determined according to the actual situation.

[0186] For example, Table 1 is a weight table for each feature parameter of the route type provided in this application.

[0187] Table 1

[0188]

[0189] It should be noted that Table 1 is only an example of the weight of each feature parameter of the first route type, the second route type, the third route type and the fourth route type. The embodiments of this application do not limit it and can be determined according to the actual situation.

[0190] For example, based on Table 1, the route length score is 7, the average radius of curvature score is 10, the route curve diversity parameter score is 12, the route elevation difference score is 6, the number of natural attractions score is 10, the number of cultural attractions score is 6, the route maintenance level score is 6, the route passability time score is 6, the traffic volume score is 6, and the number of terrain types score is 6. Combining this with Table 1, the calculated matching score between the target route and the first route type is 9.1, the matching score between the target route and the second route type is 9, the matching score between the target route and the third route type is 10.95, and the matching score between the target route and the fourth route type is 9.5. Therefore, the third route type is the route type of the target route.

[0191] The route type determination method provided in this embodiment can effectively improve the accuracy of route type determination by setting different weights for different feature parameters for each route type.

[0192] The following are embodiments of the apparatus described in this application, which can be used to execute the embodiments of the method described in this application. For details not disclosed in the apparatus embodiments of this application, please refer to the embodiments of the method described in this application.

[0193] Figure 3 This is a schematic diagram illustrating the structure of an embodiment of the route type determination device provided in this application. Figure 3 As shown, the route type determination device 30 includes:

[0194] The acquisition module 31 is used to acquire parameter information of at least one feature parameter of the target route, and weight information of multiple preset route types. The weight information of each preset route type includes the weight requirement of the preset route type for each feature parameter.

[0195] Processing module 32 is used for:

[0196] Based on the parameter information of each feature parameter and the weight information of each preset route type, the matching score between the target route and each preset route type is determined;

[0197] The route type of the target route is determined from the plurality of preset route types based on the matching score between the target route and each preset route type.

[0198] Furthermore, the parameter information for each feature parameter is either a parameter value or a score.

[0199] Furthermore, if the parameter information of each feature parameter is a parameter value, the processing module 32, when determining the matching score between the target route and each preset route type based on the parameter information of each feature parameter and the weight information of each preset route type, specifically performs the following:

[0200] Based on the parameter value of each feature parameter, determine the score for each feature parameter;

[0201] Based on the score of each feature parameter and the weight information of each preset route type, the matching score between the target route and each preset route type is determined.

[0202] Furthermore, the at least one feature parameter includes at least one parameter from at least one of the following categories: driving experience parameters, route attraction difference parameters, and route safety parameters.

[0203] The driving experience parameters include at least one of the following: route length, average radius of curvature of the route, route curve diversity parameters, and route elevation difference.

[0204] The route attraction difference parameters include at least one of the number of natural attractions and the number of cultural attractions;

[0205] The route safety parameters include at least one of the following: route maintenance level, route passability time, traffic volume, and number of terrain types. The route maintenance level is used to indicate the degree of route maintenance.

[0206] The plurality of preset route types include at least two of the following: a first route type, a second route type, a third route type, and a fourth route type.

[0207] Furthermore, if the at least one feature parameter includes the driving experience category parameter, then the weight information of the plurality of preset route types includes:

[0208] The weight of the route length of the fourth route type is greater than the weight of the route lengths of the first route type, the second route type, and the third route type;

[0209] The weight of the average radius of curvature of the third route type is greater than the weight of the average radius of curvature of the first route type, the second route type, and the fourth route type.

[0210] The weight of the route curve diversity parameter for the third route type is greater than the weight of the route curve diversity parameters for the first route type, the second route type, and the fourth route type.

[0211] The elevation difference of the third route type has a greater weight than the elevation differences of the first, second, and fourth route types.

[0212] Furthermore, the parameter values ​​of the route length, the route curve diversity parameter, and the route elevation difference are directly proportional to the score;

[0213] The parameter value of the average radius of curvature of the route is inversely proportional to the score.

[0214] Furthermore, the route curve diversity parameter includes at least one of the following: total number of curves, average curve length, and total number of consecutive curves.

[0215] The processing module 32, when determining the score of each feature parameter based on the parameter value of each feature parameter, is specifically used for:

[0216] The first score is determined based on the total number of curves.

[0217] The second score is determined based on the average length of the curve.

[0218] The third score is determined based on the total number of consecutive curves.

[0219] The sum of the first score, the second score, and the third score is used as the score for the route curve diversity parameter.

[0220] Furthermore, if the at least one feature parameter includes the route attraction difference class parameter, then the weight information of the plurality of preset route types includes:

[0221] The weight of the number of natural attractions in the fourth route type is greater than the weight of the number of natural attractions in the second and third route types.

[0222] The weight of the number of natural attractions in the first route type is greater than the weight of the number of natural attractions in the second and third route types.

[0223] The weight of the number of cultural attractions in the second route type is greater than the weight of the number of cultural attractions in the first route type, the third route type, and the fourth route type.

[0224] Furthermore, the parameter values ​​for the number of natural attractions and the number of cultural attractions are directly proportional to the score.

[0225] Furthermore, if the at least one feature parameter includes the route safety class parameter, then the weight information of the plurality of preset route types includes:

[0226] The weight of the route maintenance level for the first route type is greater than the weight of the route maintenance levels for the third and fourth route types.

[0227] The weight of the route maintenance level for the second route type is greater than the weight of the route maintenance levels for the third and fourth route types.

[0228] The weight of the travel time for the first route type is greater than the weight of the travel time for the third and fourth route types;

[0229] The weight of the travel time for the second route type is greater than the weight of the travel time for the third and fourth route types.

[0230] The traffic flow weight of the first route type is greater than the traffic flow weights of the third route type and the fourth route type;

[0231] The traffic flow weight of the second route type is greater than the traffic flow weights of the third and fourth route types;

[0232] The weight of the number of terrain types in the third route type is greater than the weight of the number of terrain types in the first route type and the second route type;

[0233] The weight of the number of terrain types in the fourth route type is greater than the weight of the number of terrain types in the first route type and the second route type.

[0234] Furthermore, the parameter values ​​of the route maintenance level, the route passability time, and the number of terrain types are directly proportional to the score;

[0235] The traffic flow parameter value is inversely proportional to the score.

[0236] Furthermore, if the at least one feature parameter includes the driving experience parameter, the route attraction difference parameter, and the route safety parameter, then the weight information of the plurality of preset route types also includes:

[0237] The weights of the number of natural scenic spots, route maintenance level, route passability time, and traffic volume for the first route type are greater than the weights of route length, average radius of curvature, route curve diversity parameters, route elevation difference, number of cultural scenic spots, and number of terrain types.

[0238] For the second route type, the weights of the number of cultural attractions, route maintenance level, route passability time, and traffic volume are greater than the weights of route length, average radius of curvature, route curve diversity parameters, route elevation difference, number of natural attractions, and number of terrain types.

[0239] The weights of the average radius of curvature, curve diversity parameters, elevation difference, and number of terrain types for the third route type are greater than the weights of route length, number of natural attractions, number of cultural attractions, route maintenance level, route passability time, and traffic volume.

[0240] The weights of route length, number of natural attractions, and number of terrain types for the fourth route type are greater than the weights of average radius of curvature, route curve diversity parameters, route elevation difference, number of cultural attractions, route maintenance level, route passability time, and traffic volume.

[0241] The route type determination device provided in this embodiment is used to execute the technical solution in any of the aforementioned method embodiments. Its implementation principle and technical effect are similar, and will not be described again here.

[0242] Figure 4 This is a schematic diagram of the structure of an electronic device provided in this application. Figure 4 As shown, the electronic device 40 includes:

[0243] Processor 41, memory 42, and communication interface 43;

[0244] The memory 42 is used to store the executable instructions of the processor 41;

[0245] The processor 41 is configured to execute the technical solutions in any of the foregoing method embodiments by executing the executable instructions.

[0246] Optionally, the memory 42 can be either standalone or integrated with the processor 41.

[0247] Optionally, when the memory 42 is a device independent of the processor 41, the electronic device 40 may further include:

[0248] Bus 44, memory 42 and communication interface 43 are connected to processor 41 through bus 44 and complete communication with each other. Communication interface 43 is used to communicate with other devices.

[0249] Optionally, the communication interface 43 can be implemented using a transceiver. The communication interface is used to enable communication between the database access device and other devices (e.g., clients, read-write databases, and read-only databases). The memory may include random access memory (RAM) and may also include non-volatile memory, such as at least one disk drive.

[0250] Bus 44 can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. Buses can be categorized as address buses, data buses, control buses, etc. For ease of representation, only one thick line is used in the diagram, but this does not indicate that there is only one bus or one type of bus.

[0251] The processors mentioned above can be general-purpose processors, including central processing units (CPUs), network processors (NPs), etc.; they can also be digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components.

[0252] The electronic device is used to execute the technical solutions in any of the foregoing method embodiments. Its implementation principle and technical effect are similar, and will not be described again here.

[0253] This application also provides a vehicle, which includes an on-board terminal.

[0254] The vehicle-mounted terminal is used to execute the technical solutions in any of the foregoing method embodiments. Its implementation principle and technical effect are similar, and will not be repeated here.

[0255] This application also provides a readable storage medium storing a computer program thereon, which, when executed by a processor, implements the technical solutions provided in any of the foregoing method embodiments.

[0256] This application also provides a computer program product, including a computer program, which, when executed by a processor, is used to implement the technical solutions provided in any of the foregoing method embodiments.

[0257] Those skilled in the art will understand that all or part of the steps of the above-described method embodiments can be implemented by hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium. When executed, the program performs the steps of the above-described method embodiments; and the aforementioned storage medium includes various media capable of storing program code, such as ROM, RAM, magnetic disks, or optical disks.

[0258] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features therein. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of this application.

Claims

1. A method for determining route type, characterized in that, include: Obtain parameter information of at least one feature parameter of the target route, and weight information of multiple preset route types. The weight information of each preset route type includes the weight requirement of the preset route type for each feature parameter. Based on the parameter information of each feature parameter and the weight information of each preset route type, the matching score between the target route and each preset route type is determined; The route type of the target route is determined from the plurality of preset route types based on the matching score between the target route and each preset route type.

2. The method according to claim 1, characterized in that, The parameter information for each feature parameter is either the parameter value or a score.

3. The method according to claim 2, characterized in that, If the parameter information for each feature parameter is a parameter value, the step of determining the matching score between the target route and each preset route type based on the parameter information of each feature parameter and the weight information of each preset route type includes: Based on the parameter value of each feature parameter, determine the score for each feature parameter; Based on the score of each feature parameter and the weight information of each preset route type, the matching score between the target route and each preset route type is determined.

4. The method according to claim 3, characterized in that, The at least one feature parameter includes at least one parameter from at least one of the following categories: driving experience parameters, route attraction difference parameters, and route safety parameters. The driving experience parameters include at least one of the following: route length, average radius of curvature of the route, route curve diversity parameters, and route elevation difference. The route attraction difference parameters include at least one of the number of natural attractions and the number of cultural attractions; The route safety parameters include at least one of the following: route maintenance level, route passability time, traffic volume, and number of terrain types. The route maintenance level is used to indicate the degree of route maintenance. The plurality of preset route types include at least two of the following: a first route type, a second route type, a third route type, and a fourth route type.

5. The method according to claim 4, characterized in that, If the at least one feature parameter includes the driving experience parameter, then the weight information of the plurality of preset route types includes: The weight of the route length of the fourth route type is greater than the weight of the route lengths of the first route type, the second route type, and the third route type; The weight of the average radius of curvature of the third route type is greater than the weight of the average radius of curvature of the first route type, the second route type, and the fourth route type. The weight of the route curve diversity parameter for the third route type is greater than the weight of the route curve diversity parameters for the first route type, the second route type, and the fourth route type. The elevation difference of the third route type has a greater weight than the elevation differences of the first, second, and fourth route types.

6. The method according to claim 5, characterized in that, The route length, the route curve diversity parameter, and the route elevation difference parameter values ​​are directly proportional to the score; The parameter value of the average radius of curvature of the route is inversely proportional to the score.

7. The method according to claim 5, characterized in that, The route curve diversity parameters include at least one of the following: total number of curves, average curve length, and total number of consecutive curves. The step of determining the score for each feature parameter based on its value includes: The first score is determined based on the total number of curves. The second score is determined based on the average length of the curve. The third score is determined based on the total number of consecutive curves. The sum of the first score, the second score, and the third score is used as the score for the route curve diversity parameter.

8. The method according to claim 4, characterized in that, If the at least one feature parameter includes the route attraction difference class parameter, then the weight information of the plurality of preset route types includes: The weight of the number of natural attractions in the fourth route type is greater than the weight of the number of natural attractions in the second and third route types. The weight of the number of natural attractions in the first route type is greater than the weight of the number of natural attractions in the second and third route types. The weight of the number of cultural attractions in the second route type is greater than the weight of the number of cultural attractions in the first route type, the third route type, and the fourth route type.

9. The method according to claim 8, characterized in that, The parameter values ​​for the number of natural attractions and the number of cultural attractions are directly proportional to the score.

10. The method according to claim 4, characterized in that, If the at least one feature parameter includes the route safety class parameter, then the weight information of the plurality of preset route types includes: The weight of the route maintenance level for the first route type is greater than the weight of the route maintenance levels for the third and fourth route types. The weight of the route maintenance level for the second route type is greater than the weight of the route maintenance levels for the third and fourth route types. The weight of the travel time for the first route type is greater than the weight of the travel time for the third and fourth route types; The weight of the travel time for the second route type is greater than the weight of the travel time for the third and fourth route types. The weight of traffic flow for the first route type is greater than the weight of traffic flow for the third and fourth route types. The traffic flow weight of the second route type is greater than the traffic flow weights of the third and fourth route types; The weight of the number of terrain types in the third route type is greater than the weight of the number of terrain types in the first route type and the second route type; The weight of the number of terrain types in the fourth route type is greater than the weight of the number of terrain types in the first route type and the second route type.

11. The method according to claim 10, characterized in that, The parameter values ​​of the route maintenance level, the route passability duration, and the number of terrain types are directly proportional to the score. The parameter value of the traffic flow is inversely proportional to the score.

12. The method according to any one of claims 4 to 11, characterized in that, If the at least one feature parameter includes the driving experience parameter, the route attraction difference parameter, and the route safety parameter, then the weight information of the plurality of preset route types also includes: The weights of the number of natural scenic spots, route maintenance level, route passability time, and traffic volume for the first route type are greater than the weights of route length, average radius of curvature, route curve diversity parameters, route elevation difference, number of cultural scenic spots, and number of terrain types. For the second route type, the weights of the number of cultural attractions, route maintenance level, route passability time, and traffic volume are greater than the weights of route length, average radius of curvature, route curve diversity parameters, route elevation difference, number of natural attractions, and number of terrain types. The weights of the average radius of curvature, curve diversity parameters, elevation difference, and number of terrain types for the third route type are greater than the weights of route length, number of natural attractions, number of cultural attractions, route maintenance level, route passability time, and traffic volume. The weights of route length, number of natural attractions, and number of terrain types for the fourth route type are greater than the weights of average radius of curvature, route curve diversity parameters, route elevation difference, number of cultural attractions, route maintenance level, route passability time, and traffic volume.

13. A route type determination device, characterized in that, include: The acquisition module is used to acquire parameter information of at least one feature parameter of the target route, and weight information of multiple preset route types. The weight information of each preset route type includes the weight requirement of the preset route type for each feature parameter. Processing module, used for: Based on the parameter information of each feature parameter and the weight information of each preset route type, the matching score between the target route and each preset route type is determined; The route type of the target route is determined from the plurality of preset route types based on the matching score between the target route and each preset route type.

14. An electronic device, characterized in that, include: Processor, memory, communication interface; The memory is used to store the executable instructions of the processor; The processor is configured to execute the route type determination method according to any one of claims 1 to 12 by executing the executable instructions.

15. A vehicle, characterized in that, Including vehicle-mounted terminals; The vehicle-mounted terminal is used to execute the route type determination method according to any one of claims 1 to 12.

16. A readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the route type determination method according to any one of claims 1 to 12.

17. A computer program product, characterized in that, Includes a computer program, which, when executed by a processor, is used to implement the route type determination method according to any one of claims 1 to 12.

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