Vehicle abnormal use determination method and device

Abstract

The application relates to the computer technical field and provides a vehicle abnormal use determination method and device. The method comprises the following steps: dividing all routes on a road map into a first route set between a preset starting point and a preset ending point and a second route set outside the first route set; performing a de-duplication process on the routes in the first route set to obtain a third route set; and determining whether a vehicle is abnormally used according to the route set to which an actual driving route of the vehicle belongs. The vehicle abnormal use determination method and device provided by the application can maximize the avoidance of the misjudgment caused by only considering the actual driving route of the vehicle and the preset route, and improve the accuracy of the vehicle abnormal use determination because all routes on the road map are divided into sets and the different situations of the routes in each set are considered when determining the vehicle abnormal use.

Description

Technical Field

[0001] This application relates to the field of computer technology, specifically to a method and apparatus for determining abnormal vehicle use. Background Technology

[0002] The traditional method for determining abnormal vehicle use is to determine whether the actual route taken by the vehicle matches the preset route based on information such as usage time, fuel consumption, or toll fees, and to identify any discrepancies as abnormal vehicle use.

[0003] However, during actual driving, the vehicle may change lanes to other routes due to congestion on the preset route, resulting in a discrepancy between the actual driving route and the preset route. This is normal driving behavior and should not be considered abnormal vehicle use. Alternatively, the abnormal use of the vehicle may occur on the preset route, meaning that although the vehicle is traveling on the preset route, abnormal usage occurs, causing the actual driving route to match the preset route, but it is still considered normal vehicle use. Therefore, considering only whether the actual driving route matches the preset route can easily lead to misjudgment. Summary of the Invention

[0004] This application provides a method and apparatus for determining abnormal vehicle use, which solves the technical problem that simply considering whether the actual driving route of the vehicle matches the preset route can easily lead to misjudgment.

[0005] In a first aspect, embodiments of this application provide a method for determining abnormal vehicle use, including:

[0006] All routes on the road map are divided into a first set of routes from a preset start point to a preset end point, and a second set of routes other than the first set of routes;

[0007] The routes in the first route set are deduplicated to obtain the third route set;

[0008] Based on the set of routes to which the vehicle actually traveled, it is determined whether the vehicle is being used abnormally.

[0009] In one embodiment, determining whether the vehicle is being used abnormally based on the set of routes to which the vehicle's actual driving route belongs includes:

[0010] Determine the optimal route from the third route set; the optimal route is the route with the shortest travel time from the preset starting point to the preset destination.

[0011] If the actual route taken by the vehicle is the optimal route, then the average speed of the vehicle within the first preset time period is calculated.

[0012] If the average vehicle speed is less than the average threshold, then it is determined whether there is congestion on the optimal route within the first preset time period;

[0013] If the optimal route is not congested, then the vehicle is determined to be in abnormal use.

[0014] In one embodiment, determining whether the vehicle is being used abnormally based on the set of routes to which the vehicle's actual driving route belongs includes:

[0015] If the actual route taken by the vehicle is the first target route in the third route set, then it is determined whether the optimal route is congested at the current moment; the first target route is any route in the third route set other than the optimal route.

[0016] If the optimal route at the current moment is not congested, then the vehicle is determined to be in abnormal use.

[0017] If the optimal route is congested at the current moment, the first travel time of the vehicle from the preset starting point to the preset ending point along the first target route and the second travel time from the preset starting point to the preset ending point along the second target route are simulated and calculated; the second target route is any route in the third route set other than the first target route and the optimal route;

[0018] If any second driving time is less than the first driving time, then the vehicle is determined to be in abnormal use.

[0019] In one embodiment, determining whether the vehicle is being used abnormally based on the set of routes to which the vehicle's actual driving route belongs includes:

[0020] If the actual route taken by the vehicle is any of the routes in the second set of routes, then the vehicle is determined to be in abnormal use.

[0021] In one embodiment, the process of deduplicating routes in the first route set to obtain a third route set includes:

[0022] Calculate the average overlap between any two routes in the first route set. If the average overlap is greater than or equal to the overlap threshold, then retain either of the two routes as the third target route. The average overlap is the average of the percentage of the length of the overlapping portion of the two routes to the length of their respective routes.

[0023] Calculate the distance between the non-overlapping portions of any two third target routes in the first route set. If the maximum value of the distance is less than a distance threshold, then retain either of the two third target routes as the fourth target route. The distance is the straight-line distance between the trajectory points on the two third target routes after the vehicle starts from a preset starting point at the same speed and travels for a second preset time.

[0024] The set of all routes to the fourth objective is defined as the set of routes to the third objective.

[0025] Secondly, embodiments of this application provide a vehicle abnormal use determination device, comprising:

[0026] The set partitioning module is used to: divide all routes on the road map into a first set of routes between a preset starting point and a preset ending point, and a second set of routes other than the first set of routes;

[0027] The deduplication module is used to: perform deduplication processing on the routes in the first route set to obtain a third route set;

[0028] The abnormal usage determination module is used to determine whether the vehicle is being used abnormally based on the set of routes to which the vehicle's actual driving route belongs.

[0029] Thirdly, embodiments of this application provide an electronic device, including a processor and a memory storing a computer program, wherein the processor executes the program to implement the steps of the vehicle abnormal use determination method described in the first aspect.

[0030] Fourthly, embodiments of this application provide a computer program product, including a computer program that, when executed by a processor, implements the steps of the vehicle abnormal use determination method described in the first aspect.

[0031] The vehicle abnormal use determination method and apparatus provided in this application divides all routes on the road map into a first set of routes from a preset start point to a preset end point, and a second set of routes outside the first set. The routes in the first set are deduplicated to obtain a third set of routes. Based on the set of routes to which the vehicle's actual driving route belongs, the method determines whether the vehicle is in abnormal use. Because all routes on the road map are divided into sets, and different situations of routes in each set are considered when determining abnormal vehicle use, the method can minimize the risk of misjudgments based solely on the vehicle's actual driving route and the preset route, thus improving the accuracy of vehicle abnormal use determination. Attached Figure Description

[0032] To more clearly illustrate the technical solutions in 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.

[0033] Figure 1 This is one of the flowcharts illustrating the vehicle abnormal use determination method provided in the embodiments of this application;

[0034] Figure 2 This is a second schematic flowchart of the vehicle abnormal use determination method provided in the embodiments of this application;

[0035] Figure 3 This is the third flowchart of the vehicle abnormal use determination method provided in the embodiments of this application;

[0036] Figure 4 This is the fourth flowchart of the vehicle abnormal use determination method provided in the embodiments of this application;

[0037] Figure 5 This is a schematic diagram of the vehicle abnormal use determination device provided in the embodiments of this application;

[0038] Figure 6 This is a schematic diagram of the structure of the electronic device provided in the embodiments of this application. Detailed Implementation

[0039] To make the objectives, technical solutions, and advantages of this application clearer, the technical solutions of this application will be clearly and completely described below with reference to the accompanying drawings of the embodiments. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0040] Figure 1 This is one of the flowcharts illustrating the vehicle abnormal use determination method provided in this application. (Refer to...) Figure 1 This application provides a method for determining abnormal vehicle use, which may include:

[0041] 101. Divide all routes on the road map into a first set of routes between a preset starting point and a preset ending point, and a second set of routes outside the first set of routes;

[0042] 102. Remove duplicate routes from the first route set to obtain the third route set;

[0043] 103. Determine whether the vehicle is being used abnormally based on the set of routes to which the vehicle actually travels.

[0044] The vehicle abnormal use determination method provided in this embodiment divides all routes on the road map into a first set of routes from a preset start point to a preset end point, and a second set of routes outside the first set. The routes in the first set are deduplicated to obtain a third set of routes. Based on the set of routes to which the vehicle's actual driving route belongs, it is determined whether the vehicle is in abnormal use. Because all routes on the road map are divided into sets, and different situations of routes in each set are considered when determining abnormal vehicle use, it can minimize the risk of misjudgments based solely on the vehicle's actual driving route and the preset route, thus improving the accuracy of vehicle abnormal use determination.

[0045] Furthermore, this embodiment also performs deduplication processing on the routes in the first route set, which can reduce the waste of resources in judging duplicate routes and improve the judgment efficiency.

[0046] Figure 2 This is the second flowchart illustrating the vehicle abnormal usage determination method provided in this application. (Refer to...) Figure 2 In one embodiment, determining whether a vehicle is being used abnormally based on the set of routes to which the vehicle's actual driving route belongs may include:

[0047] 201. Determine the optimal route in the third route set;

[0048] The optimal route is the route that takes the shortest time for a vehicle to travel from a preset starting point to a preset destination.

[0049] 202. If the actual route taken by the vehicle is the optimal route, then calculate the average speed of the vehicle within the first preset time period.

[0050] 203. If the average vehicle speed is less than the average threshold, determine whether there is congestion on the best route within the first preset time period;

[0051] 204. If there is no congestion on the optimal route, then the vehicle is considered to be in abnormal use.

[0052] In step 201, since the travel time of a vehicle from the preset starting point to the preset ending point is related to factors such as the route length between the preset starting point and the preset ending point, the number of traffic lights on the route, and the number of curves, the travel time of each route in the third route set can be roughly sorted according to the route length, the number of traffic lights on the route, and the number of curves (at this time, the specific travel time cannot be obtained). Then, the model vehicle travels on the routes with shorter travel times in the sorting to obtain the simulated travel time, and the route with the shortest simulated travel time is determined as the best route.

[0053] In step 202, multiple sampling times can be selected within the first preset time period. The vehicle speed is collected at each sampling time, and the sum of the sampled vehicle speeds is divided by the number of samplings to obtain the average vehicle speed.

[0054] In steps 203 to 204, if the average vehicle speed is less than the average threshold, it indicates that the vehicle is traveling too slowly. This could be due to congestion on the optimal route or abnormal parking caused by the vehicle being used for private purposes. Therefore, if road monitoring or navigation indicates that there is no congestion on the optimal route within the first preset time period, it can be determined that the vehicle is being used abnormally.

[0055] In this embodiment, when the vehicle's actual driving route is the optimal route, by comparing the vehicle speed and the route congestion, it is possible to accurately determine whether the vehicle is actually driving on the optimal route but is being used abnormally, thus improving the accuracy of abnormal usage determination.

[0056] Figure 3 This is the third flowchart illustrating the vehicle abnormal usage determination method provided in this application. (Refer to...) Figure 3 In one embodiment, determining whether a vehicle is being used abnormally based on the set of routes to which the vehicle's actual driving route belongs may include:

[0057] 301. If the actual route taken by the vehicle is the first target route in the third route set, then determine whether the best route at the current moment is congested;

[0058] The first target route is any route in the third route set other than the best route;

[0059] 302. If the optimal route is not congested at the current moment, then the vehicle is considered to be in abnormal use.

[0060] 303. If the optimal route is congested at the current moment, the first travel time of the vehicle from the preset starting point to the preset ending point along the first target route and the second travel time from the preset starting point to the preset ending point along the second target route are simulated and calculated.

[0061] The second target route is any route in the third route set other than the first target route and the best route;

[0062] 304. If any second driving time is less than the first driving time, then the vehicle is determined to be in abnormal use.

[0063] In step 302, if there is no congestion on the optimal route, but the vehicle does not choose to travel on the optimal route, then abnormal vehicle use can be determined.

[0064] In step 303, if the optimal route is congested, it is determined whether there is a route with a shorter travel time besides the optimal route and the actual first target route. It should be noted that the vehicle travels at the same speed along the first target route and along the second target route.

[0065] In step 304, if such a route exists but the vehicle does not choose to travel on it, then the vehicle is determined to be in abnormal use.

[0066] In this embodiment, when the actual driving route of the vehicle is any route in the third route set other than the optimal route, by judging whether there is congestion on the optimal route and comparing the driving time between the actual driving route and other routes, it is possible to accurately determine that there is an abnormal usage situation when the vehicle is actually driving on any route in the third route set other than the optimal route, thereby improving the accuracy of abnormal usage judgment.

[0067] In one embodiment, determining whether a vehicle is being used abnormally based on the set of routes to which the vehicle's actual driving route belongs may include:

[0068] If the vehicle's actual route is any of the routes in the second set of routes, then the vehicle is determined to be in abnormal use.

[0069] In this embodiment, if the actual driving route of the vehicle does not belong to any route between the preset starting point and the preset ending point, the abnormal use of the vehicle can be directly determined.

[0070] Figure 4 This is the fourth flowchart illustrating the vehicle abnormal usage determination method provided in this application. (Refer to...) Figure 4 In one embodiment, deduplication of routes in the first route set to obtain a third route set may include:

[0071] 401. Calculate the average overlap between any two routes in the first route set. If the average overlap is greater than or equal to the overlap threshold, then retain either of the two routes as the third target route.

[0072] Average overlap is the average percentage of the length of the overlapping portion of two routes relative to the length of their respective routes.

[0073] 402. Calculate the distance between the non-overlapping parts of any two third target routes in the first route set. If the maximum distance is less than the distance threshold, then retain either of the two third target routes as the fourth target route.

[0074] Distance is the straight-line distance between trajectory points on the two third target routes after a second preset time period, when the simulated vehicle starts from a preset starting point and travels along two third target routes at the same speed.

[0075] 403. Determine the set of all routes to the fourth objective as the set of routes to the third objective.

[0076] In step 401, assuming the length of the overlapping portion of the two routes is L, and the lengths of the two routes are L1 and L2 respectively, the percentage of L to L1 and the percentage of L to L2 are calculated, and the average of the two percentages is taken as the average degree of overlap between the two routes.

[0077] In step 402, since the routes with high overlap have been deduplicated, the remaining routes are those with low overlap. The vehicle starts from a preset starting point along the two third target routes at a speed of V. After a second preset time T, the vehicle's trajectory point on the first third target route is A, and its trajectory point on the second third target route is B. The straight-line distance between A and B is the distance between a non-overlapping portion. Multiple different second preset time periods can be set to obtain multiple distances between non-overlapping portions, and the maximum value is selected and compared with a distance threshold. It should be noted that each second preset time period is the time it takes for the vehicle to travel to the non-overlapping portion of these two third target routes.

[0078] In step 403, routes with low overlap but close non-overlapping distances are also deduplicated, which can further remove duplicate routes that are relatively similar overall.

[0079] This embodiment performs two deduplication operations on the routes in the first route set, which ensures that the routes in the resulting third route set are highly distinguishable and can be routed from a preset starting point to a preset ending point. This avoids repeated calculations on multiple similar routes during subsequent calculations, which would waste computing resources and thus improve computing efficiency.

[0080] The vehicle abnormal use determination device provided in the embodiments of this application is described below. The vehicle abnormal use determination device described below can be referred to in correspondence with the vehicle abnormal use determination method described above.

[0081] Figure 5 This is a schematic diagram of the vehicle abnormal use determination device provided in an embodiment of this application. (Refer to...) Figure 5 This application provides a vehicle abnormal use determination device, which may include:

[0082] The set division module 501 is used to: divide all routes on the road map into a first set of routes between a preset starting point and a preset ending point, and a second set of routes other than the first set of routes;

[0083] Deduplication module 502 is used to: perform deduplication processing on the routes in the first route set to obtain a third route set;

[0084] The abnormal use determination module 503 is used to determine whether the vehicle is being used abnormally based on the set of routes to which the vehicle's actual driving route belongs.

[0085] The vehicle abnormal use determination device provided in this embodiment divides all routes on the road map into a first set of routes from a preset start point to a preset end point, and a second set of routes outside the first set. It then performs deduplication on the routes in the first set to obtain a third set of routes. Based on the set of routes to which the vehicle's actual driving route belongs, it determines whether the vehicle is in abnormal use. Because all routes on the road map are divided into sets, and different situations of routes in each set are considered when determining abnormal vehicle use, it can minimize the possibility of misjudgments based solely on the vehicle's actual driving route and the preset route, thus improving the accuracy of vehicle abnormal use determination.

[0086] In one embodiment, the exception usage determination module 503 is specifically used for:

[0087] Determine the optimal route from the third route set; the optimal route is the route with the shortest travel time from the preset starting point to the preset destination.

[0088] If the actual route taken by the vehicle is the optimal route, then the average speed of the vehicle within the first preset time period is calculated.

[0089] If the average vehicle speed is less than the average threshold, then it is determined whether there is congestion on the optimal route within the first preset time period;

[0090] If the optimal route is not congested, then the vehicle is determined to be in abnormal use.

[0091] In one embodiment, the exception usage determination module 503 is specifically used for:

[0092] If the actual route taken by the vehicle is the first target route in the third route set, then it is determined whether the optimal route is congested at the current moment; the first target route is any route in the third route set other than the optimal route.

[0093] If the optimal route at the current moment is not congested, then the vehicle is determined to be in abnormal use.

[0094] If the optimal route is congested at the current moment, the first travel time of the vehicle from the preset starting point to the preset ending point along the first target route and the second travel time from the preset starting point to the preset ending point along the second target route are simulated and calculated; the second target route is any route in the third route set other than the first target route and the optimal route;

[0095] If any second driving time is less than the first driving time, then the vehicle is determined to be in abnormal use.

[0096] In one embodiment, the exception usage determination module 503 is specifically used for:

[0097] If the actual route taken by the vehicle is any of the routes in the second set of routes, then the vehicle is determined to be in abnormal use.

[0098] In one embodiment, the deduplication module 502 is specifically used for:

[0099] Calculate the average overlap between any two routes in the first route set. If the average overlap is greater than or equal to the overlap threshold, then retain either of the two routes as the third target route. The average overlap is the average of the percentage of the length of the overlapping portion of the two routes to the length of their respective routes.

[0100] Calculate the distance between the non-overlapping portions of any two third target routes in the first route set. If the maximum value of the distance is less than a distance threshold, then retain either of the two third target routes as the fourth target route. The distance is the straight-line distance between the trajectory points on the two third target routes after the vehicle starts from a preset starting point at the same speed and travels for a second preset time.

[0101] The set of all routes to the fourth objective is defined as the set of routes to the third objective.

[0102] Figure 6 An example is a schematic diagram of the physical structure of an electronic device, such as... Figure 6 As shown, the electronic device may include: a processor 610, a communication interface 620, a memory 630, and a communication bus 640, wherein the processor 610, the communication interface 620, and the memory 630 communicate with each other via the communication bus 640. The processor 610 can call a computer program in the memory 630 to execute the steps of the vehicle abnormal use determination method, such as including:

[0103] All routes on the road map are divided into a first set of routes from a preset start point to a preset end point, and a second set of routes other than the first set of routes;

[0104] The routes in the first route set are deduplicated to obtain the third route set;

[0105] Based on the set of routes to which the vehicle actually traveled, it is determined whether the vehicle is being used abnormally.

[0106] Furthermore, the logical instructions in the aforementioned memory 630 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0107] On the other hand, this application also provides a computer program product, which includes a computer program that can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can perform the steps of the vehicle abnormal use determination method provided in the above embodiments, such as including:

[0108] All routes on the road map are divided into a first set of routes from a preset start point to a preset end point, and a second set of routes other than the first set of routes;

[0109] The routes in the first route set are deduplicated to obtain the third route set;

[0110] Based on the set of routes to which the vehicle actually traveled, it is determined whether the vehicle is being used abnormally.

[0111] On the other hand, embodiments of this application also provide a processor-readable storage medium storing a computer program for causing a processor to perform the steps of the methods provided in the above embodiments, such as including:

[0112] All routes on the road map are divided into a first set of routes from a preset start point to a preset end point, and a second set of routes other than the first set of routes;

[0113] The routes in the first route set are deduplicated to obtain the third route set;

[0114] Based on the set of routes to which the vehicle actually traveled, it is determined whether the vehicle is being used abnormally.

[0115] The processor-readable storage medium can be any available medium or data storage device that the processor can access, including but not limited to magnetic memory (e.g., floppy disk, hard disk, magnetic tape, magneto-optical disk (MO)), optical memory (e.g., CD, DVD, BD, HVD), and semiconductor memory (e.g., ROM, EPROM, EEPROM, non-volatile memory (NAND FLASH), solid-state drive (SSD)).

[0116] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0117] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0118] 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 of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application.

Claims

1. A method for determining abnormal vehicle use, characterized in that, include: All routes on the road map are divided into a first set of routes from a preset start point to a preset end point, and a second set of routes other than the first set of routes; The routes in the first route set are deduplicated to obtain the third route set, which includes: Calculate the average overlap between any two routes in the first route set. If the average overlap is greater than or equal to the overlap threshold, then retain either of the two routes as the third target route. The average overlap is the average of the percentage of the length of the overlapping portion of the two routes to the length of their respective routes. Calculate the distance between the non-overlapping portions of any two third target routes in the first route set. If the maximum value of the distance is less than a distance threshold, then retain either of the two third target routes as the fourth target route. The distance is the straight-line distance between the trajectory points on the non-overlapping portions of the two third target routes after the vehicle starts from a preset starting point at the same speed and travels for a second preset time. The maximum value of the distance is the maximum value among multiple straight-line distances obtained after multiple different second preset time periods. The set of all routes to the fourth objective is defined as the set of routes to the third objective; Based on the set of routes to which the vehicle actually traveled, it is determined whether the vehicle is being used abnormally.

2. The method for determining abnormal vehicle use according to claim 1, characterized in that, The step of determining whether a vehicle is being used abnormally based on the set of routes to which the vehicle's actual driving route belongs includes: Determine the optimal route from the third route set; the optimal route is the route with the shortest travel time from the preset starting point to the preset destination. If the actual route taken by the vehicle is the optimal route, then the average speed of the vehicle within the first preset time period is calculated. If the average vehicle speed is less than the average threshold, then it is determined whether there is congestion on the optimal route within the first preset time period; If the optimal route is not congested, then the vehicle is determined to be in abnormal use.

3. The method for determining abnormal vehicle use according to claim 2, characterized in that, The step of determining whether a vehicle is being used abnormally based on the set of routes to which the vehicle's actual driving route belongs includes: If the actual route taken by the vehicle is the first target route in the third route set, then it is determined whether the optimal route is congested at the current moment; the first target route is any route in the third route set other than the optimal route. If the optimal route at the current moment is not congested, then the vehicle is determined to be in abnormal use. If the optimal route is congested at the current moment, the first travel time of the vehicle from the preset starting point to the preset ending point along the first target route and the second travel time from the preset starting point to the preset ending point along the second target route are simulated and calculated; the second target route is any route in the third route set other than the first target route and the optimal route; If any second driving time is less than the first driving time, then the vehicle is determined to be in abnormal use.

4. The method for determining abnormal vehicle use according to claim 1, characterized in that, The step of determining whether a vehicle is being used abnormally based on the set of routes to which the vehicle's actual driving route belongs includes: If the actual route taken by the vehicle is any of the routes in the second set of routes, then the vehicle is determined to be in abnormal use.

5. A device for determining abnormal vehicle use, characterized in that, The method for determining abnormal vehicle use as described in claim 1 includes: The set partitioning module is used to: divide all routes on the road map into a first set of routes between a preset starting point and a preset ending point, and a second set of routes other than the first set of routes; The deduplication module is used to: perform deduplication processing on the routes in the first route set to obtain a third route set; The abnormal usage determination module is used to determine whether the vehicle is being used abnormally based on the set of routes to which the vehicle's actual driving route belongs.

6. An electronic device comprising a processor and a memory storing a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the vehicle abnormal use determination method according to any one of claims 1 to 4.

7. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the steps of the vehicle abnormal use determination method according to any one of claims 1 to 4.

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