Typical route determination method, device and equipment of vehicle and readable storage medium
By dividing and calculating the vehicle's driving trajectory within the preset time period, and selecting typical routes for analysis, the problem of lack of meaning in comparative analysis of vehicle economic performance indicators is solved, and more accurate economic performance analysis is achieved.
Patent Information
- Application Number
- CN202411544629.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-10-31
- Publication Date
- 2025-02-07
AI Technical Summary
The prior art lacks meaning when comparing and analyzing vehicle economic performance indicators, because there are large differences in vehicle economic performance indicators due to regional reasons.
By obtaining the vehicle's driving trajectory within the preset time, dividing it into multiple routes, and calculating the route score based on the number of cities of the route route, the number of routes occurring and the average length of all routes occurring. After sorting, select the preset number The route is a typical route for vehicles to analyze the economic performance indicators of vehicles.
Analyzing the vehicle's economic performance indicators through the typical route of the vehicle can more accurately reflect the actual representative significance of the vehicle during this period, and have greater practical significance compared with simple comparison of economic performance indicators.
Smart Images
Figure CN119394321A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the technical field of vehicle operation analysis, and in particular to a method, device, equipment and readable storage medium for determining a typical route of a vehicle. Background Art
[0002] The vehicle's fuel consumption, electricity consumption, and gas consumption are important economic performance indicators of the vehicle. Especially for operating vehicles, paying attention to and analyzing the economic performance indicators shown in the actual operation of the vehicle is of great significance to improving the vehicle's operating efficiency. For example, if the vehicle's performance indicators are too poor, it may mean that the driver of the vehicle has bad driving habits or the vehicle may have a fault that requires repair and maintenance, etc., and corresponding operational optimization suggestions such as changing driving habits or repairing and maintaining the vehicle can be given.
[0003] At present, people usually simply focus on the economic performance indicators of vehicles, such as comparing the actual fuel consumption of the vehicle with the standard value. However, vehicles may often travel in plateau areas or plains. Due to geographical reasons, the economic performance indicators of vehicles vary greatly. It can be seen that the current comparative analysis of vehicle economic performance indicators lacks meaning. Summary of the invention
[0004] The present application provides a method, device, equipment and readable storage medium for determining a typical route of a vehicle, aiming to solve the current technical problem that comparative analysis of vehicle economic performance indicators is meaningless.
[0005] In a first aspect, an embodiment of the present application provides a method for determining a typical route of a vehicle, the method for determining a typical route of a vehicle comprising:
[0006] Obtain the driving trajectory of the vehicle within a preset time period, and divide the driving trajectory into multiple routes with each city in the driving trajectory as the starting point;
[0007] For each route, the route score is calculated based on the number of cities the route passes through, the number of times the route appears, and the average length of all times the route appears;
[0008] Each route is sorted according to the route score, and a preset number of routes are selected from all the routes according to the sorting as typical routes of the vehicle, so as to perform economic performance index analysis on the vehicle based on the typical routes of the vehicle.
[0009] Optionally, the obtaining of the driving trajectory of the vehicle within a preset time period and dividing the driving trajectory into multiple routes with each city in the driving trajectory as a starting point includes:
[0010] The driving trajectories of multiple vehicles within the same preset time period are obtained, and for the driving trajectory of each vehicle, the driving trajectory is divided into multiple routes with each city in the driving trajectory as the starting point to obtain all the routes of each vehicle.
[0011] Optionally, the step of sorting each route according to the route score and selecting a preset number of routes from all the routes according to the sort as typical routes of the vehicle for economic performance index analysis of the vehicle based on the typical routes of the vehicle includes:
[0012] Each route is sorted according to the route score, and a preset number of routes are selected from all the routes according to the sorting as typical routes common to multiple vehicles, so as to compare and analyze the economic performance indicators of each vehicle based on the typical routes common to multiple vehicles.
[0013] Optionally, the multiple vehicles are of the same model.
[0014] Optionally, the route score is calculated based on the number of cities that the route passes through, the number of times the route appears, and the average length of all times the route appears, including:
[0015] The route score is calculated by the formula based on the number of cities the route passes through, the number of times the route appears, and the average length of all times the route appears. The formula is:
[0016] score=math.pow(num,a)*math.pow(count,b)*math.pow(mileage,c);
[0017] Where score is the route score, math.pow(x,y) is a function that calculates x to the power of y, num is the number of cities that the route passes through, count is the number of times the route appears, mileage is the average length of all times the route appears, and a, b, and c are weight factors.
[0018] In a second aspect, an embodiment of the present application provides a typical route determination device for a vehicle, the typical route determination device for a vehicle comprising:
[0019] An acquisition module is used to acquire the driving trajectory of the vehicle within a preset time period, and divide the driving trajectory into multiple routes with each city in the driving trajectory as the starting point;
[0020] A calculation module, for calculating a route score for each route according to the number of cities the route passes through, the number of times the route appears, and the average length of all times the route appears;
[0021] The determination module is used to sort the routes according to the route scores, and select a preset number of routes from all the routes according to the sorting as typical routes of the vehicle, so as to analyze the economic performance index of the vehicle based on the typical routes of the vehicle.
[0022] Optionally, the acquisition module is used to:
[0023] The driving trajectories of multiple vehicles within the same preset time period are obtained, and for the driving trajectory of each vehicle, the driving trajectory is divided into multiple routes with each city in the driving trajectory as the starting point to obtain all the routes of each vehicle.
[0024] Optionally, the determining module is used to:
[0025] Each route is sorted according to the route score, and a preset number of routes are selected from all the routes according to the sorting as typical routes common to multiple vehicles, so as to compare and analyze the economic performance indicators of each vehicle based on the typical routes common to multiple vehicles.
[0026] In a third aspect, an embodiment of the present application provides a typical route determination device for a vehicle, the typical route determination device for the vehicle comprising a processor, a memory, and a typical route determination program for the vehicle stored in the memory and executable by the processor, wherein when the typical route determination program for the vehicle is executed by the processor, the steps of the typical route determination method for the vehicle as described above are implemented.
[0027] In a fourth aspect, an embodiment of the present application provides a readable storage medium, on which a typical route determination program for a vehicle is stored. When the typical route determination program for a vehicle is executed by a processor, the steps of the typical route determination method for a vehicle as described above are implemented.
[0028] The beneficial effects brought by the technical solution provided in the embodiments of the present application include:
[0029] In an embodiment of the present application, a driving trajectory of a vehicle within a preset duration is obtained, and the driving trajectory is divided into multiple routes with each city in the driving trajectory as the starting point; for each route, a route score is calculated based on the number of cities passed by the route, the number of times the route appears, and the average length of all times the route appears; each route is sorted according to the route score, and a preset number of routes are selected from all routes according to the sorting as typical routes of the vehicle, so as to analyze the economic performance indicators of the vehicle based on the typical routes of the vehicle. In an embodiment of the present application, for each route in the driving trajectory of the vehicle within a period of time, the route score of each route is quickly calculated based on the number of cities passed by the route, the number of times the route appears, and the average length of all times the route appears. The calculated route score can comprehensively reflect the typical routes of the vehicle that have actual representative significance within the period of time. Compared with the current simple focus on the economic performance indicators shown by the vehicle, the economic performance indicator analysis of the vehicle based on the typical routes of the vehicle has greater practical significance. BRIEF DESCRIPTION OF THE DRAWINGS
[0030] Figure 1 A first flow chart of an embodiment of a typical route determination method for a vehicle of the present application;
[0031] Figure 2 A second flow chart of an embodiment of a typical route determination method for a vehicle of the present application;
[0032] Figure 3 A third flow chart of an embodiment of a typical route determination method for a vehicle of the present application;
[0033] Figure 4 A schematic diagram of functional modules of an embodiment of a typical route determination device for a vehicle of the present application;
[0034] Figure 5 A schematic diagram of the hardware structure of a typical route determination device for a vehicle involved in an embodiment of the present application. DETAILED DESCRIPTION
[0035] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.
[0036] In order to make the objectives, technical solutions and advantages of the present application clearer, the implementation methods of the present application will be further described in detail below with reference to the accompanying drawings.
[0037] In a first aspect, an embodiment of the present application provides a method for determining a typical route of a vehicle.
[0038] In one embodiment, referring to Figure 1 , Figure 1 This is a first flow chart of an embodiment of a typical route determination method for a vehicle of the present application, such as Figure 1 As shown, a typical route determination method for a vehicle includes:
[0039] Step S10, obtaining a driving trajectory of the vehicle within a preset time period, and dividing the driving trajectory into multiple routes with each city in the driving trajectory as a starting point.
[0040] In this embodiment, the vehicle driving data (such as position, mileage, time, vehicle speed, engine speed, oil level, gas level, power level, brake pedal switch status, altitude and battery voltage, etc.) can be collected in real time through the vehicle's on-board terminal and uploaded to the big data platform. The aforementioned vehicle driving data is obtained from the big data platform, and the routes that the vehicle has passed within a certain preset time, such as one month, are connected to form a vehicle driving trajectory. The routes that the vehicle has passed within a certain preset time can be referred to as shown in Table 1. Table 1 is an example table of routes that the vehicle has passed within a certain preset time. The vehicle driving trajectory formed by connecting the routes that the vehicle has passed within a certain preset time can be expressed as C1->C2->C3->…->CN, where C1, C2, C3,…, C(N) represent each city, and the driving trajectory is divided into multiple routes with each city in the driving trajectory as the starting point. For example, all subsets of the driving trajectory divided with each city in the driving trajectory as the starting point are taken, and the multiple routes obtained after division are: C1->C2, C2->C3,…, C( C1->C2->C3,C2->C3->C4,…,…,C1->C2->C3->…->C(N), wherein each part separated by a comma represents a route. It should be noted that a city usually includes multiple levels of administrative divisions. The specific city can be determined according to specific business needs. It should also be noted that the driving trajectory of a vehicle within a certain preset time may have both a C1->C2 route and a C2->C1 route, that is, there is a round trip. Whether C1->C2 and C2->C1 are regarded as the same route or as two different routes can be determined according to specific business needs. It should also be noted that the typical route of a vehicle determined based on the driving trajectory within a certain preset time is more valuable for reference to the comparative analysis of vehicle economic performance indicators than the typical route of a vehicle determined based on the driving trajectory in different time periods. For example, it can avoid the situation where the economic performance indicators of vehicles in summer and winter are quite different due to seasonal reasons.
[0041] Table 1.
[0042] Current City Start time End Time Start Mileage End Mileage C1 T11 T12 M11 M12 C2 T21 T22 M21 M22 … … … … … CN TN1 TN2 MN1 MN2
[0043] Step S20, for each route, a route score is calculated based on the number of cities the route passes through, the number of times the route appears, and the average length of all times the route appears.
[0044] In this embodiment, for each route, the route score is calculated according to the number of cities the route passes through, the number of times the route appears, and the average length of all times the route appears. Taking the route C1->C2 as an example, the number of cities the route passes through is 2, and taking the route C1->C2->C3 as an example, the number of cities the route passes through is 3, the number of times the route appears is the number of times C1->C2 and C1->C2->C3 appear, and the average length of all times the route appears, for example, the route C1->C2 appears 5 times, then the average length of the 5 times the route C1->C2 appears is taken. It can be seen that due to the comprehensive consideration of the number of cities the route passes through, the number of times the route appears, and the average length of all times the route appears, the calculated route score can better reflect the typical route that is actually representative of the vehicle within the duration.
[0045] Step S30, sorting each route according to the route score, and selecting a preset number of routes from all routes according to the sorting as typical routes of the vehicle, so as to perform economic performance index analysis on the vehicle based on the typical routes of the vehicle.
[0046] In this embodiment, the route score calculated based on the number of cities passed by the route, the number of times the route appears, and the average length of all times the route appears actually reflects the typical representativeness of the route. Each route is sorted according to the route score, wherein the route score can be sorted from high to low or from low to high. According to the sorting, a preset number of routes are selected from all routes as typical routes of the vehicle, such as selecting a preset number of routes with a high ranking from all routes in the order from high to low or from low to high as typical routes of the vehicle. Compared with the current simple focus on the economic performance indicators shown by the vehicle, the economic performance index analysis of the vehicle based on the typical route of the vehicle has greater practical significance. It should be noted that when performing the economic performance index analysis, the aforementioned vehicle driving data (such as location, mileage, time, vehicle speed, engine speed, oil volume, gas volume, electricity, brake pedal switch state, elevation and battery voltage, etc.) obtained from the big data platform can be used to calculate the vehicle's economic performance indicators (such as fuel consumption, gas consumption and electricity consumption, etc.), and further analysis can be combined with the specific working conditions of the vehicle, which will not be further explained here.
[0047] In this embodiment, the vehicle driving data can be collected in real time through the vehicle's on-board terminal and uploaded to the big data platform. The aforementioned vehicle driving data is obtained from the big data platform, and the routes that the vehicle has passed within a certain preset time period, such as a month, are connected to form a vehicle driving trajectory. The driving trajectory is divided into multiple routes with each city in the driving trajectory as the starting point. For example, all subsets of the driving trajectory are divided with each city in the driving trajectory as the starting point. For each route in the driving trajectory of the vehicle within a period of time, the route score of each route is quickly calculated according to the number of cities passed by the route, the number of times the route appears, and the average length of all times the route appears. The calculated route score can comprehensively reflect the typical route of the vehicle that has actual representative significance within the period of time. Compared with the current simple focus on the economic performance indicators shown by the vehicle, the economic performance indicator analysis of the vehicle based on the typical route of the vehicle has greater practical significance.
[0048] Further, in one embodiment, referring to Figure 2 , Figure 2 This is a second flow chart of an embodiment of a typical route determination method for a vehicle of the present application, such as Figure 2 As shown, step S10 includes:
[0049] Step S100, obtaining driving trajectories of multiple vehicles within the same preset time period, and dividing the driving trajectory of each vehicle into multiple routes with each city in the driving trajectory as a starting point to obtain all routes of each vehicle.
[0050] In this embodiment, for example, for a batch of vehicles of an operating unit, the driving trajectories of multiple vehicles within the same preset time period can be obtained. For the driving trajectory of each vehicle, the driving trajectory is divided into multiple routes with each city in the driving trajectory as the starting point to obtain all routes of each vehicle.
[0051] Further, in one embodiment, referring to Figure 3 , Figure 3 This is a third flow chart of an embodiment of a typical route determination method for a vehicle of the present application, such as Figure 3 As shown, step S30 includes:
[0052] Step S300, sorting each route according to the route score, and selecting a preset number of routes from all the routes according to the sorting as typical routes common to multiple vehicles, so as to compare and analyze the economic performance indicators of each vehicle based on the typical routes common to multiple vehicles.
[0053] In this embodiment, for example, for a group of vehicles of an operating unit, a typical route common to multiple vehicles is obtained. Based on the typical route common to multiple vehicles, the economic performance indicators of each vehicle, such as fuel consumption, power consumption and gas consumption, are compared and analyzed, which can better reflect the differences in economic performance indicators of each vehicle under the common typical route, so that operational optimization suggestions can be made for vehicles with poor economic performance indicators. It should be noted that for multiple vehicles, when calculating the route score of a certain route in step S20, the number of times the route appears and the average length of all times the route appears are calculated using data from multiple vehicles.
[0054] Furthermore, in one embodiment, the multiple vehicles are of the same model.
[0055] In this embodiment, for example, for a group of vehicles of an operating unit, if the vehicle models and configurations are different, even if the economic performance indicators are compared on a common typical route, the economic performance indicators of each vehicle may be quite different due to the vehicle model configurations. Therefore, it is better to compare the economic performance indicators of multiple vehicles of the same model on a common typical route, so as to more accurately make operational optimization suggestions for vehicles with poor economic performance indicators.
[0056] Furthermore, in one embodiment, step S20 includes:
[0057] The route score is calculated by the formula based on the number of cities the route passes through, the number of times the route appears, and the average length of all times the route appears. The formula is:
[0058] score=math.pow(num,a)*math.pow(count,b)*math.pow(mileage,c);
[0059] Where score is the route score, math.pow(x,y) is a function that calculates x to the power of y, num is the number of cities that the route passes through, count is the number of times the route appears, mileage is the average length of all times the route appears, and a, b, and c are weight factors.
[0060] In this embodiment, math.pow(x, y) is a function for finding x raised to the power of y, and the number of cities passed through by the route, the number of times the route appears, and the average length of all times the route appears are respectively used as bases, and the weight factors a, b, and c are respectively used as exponents, and then the three are multiplied to calculate the route score. It can be seen that the route score comprehensively considers the number of cities passed through by the route, the number of times the route appears, and the average length of all times the route appears, and the weight factors a, b, and c can be used to adjust the role of the number of cities passed through by the route, the number of times the route appears, and the average length of all times the route appears in calculating the route score. For example, the route score of a route with too low length and too low number of cities passed through can be reduced by setting a lower weight factor a, and the route score of a route with too low route length can be reduced by setting a lower weight factor c, so that the calculated route score has more practical representative significance. It should be noted that the specific settings of the weight factors a, b, and c can be determined according to specific business needs. Specifically, according to the data of the route passed by the vehicle within a certain preset time in Table 1, the data of the number of cities passed by the route, the number of times the route appears, and the average length of all times the route appears can be found in Table 2, which is an example table of data on the number of cities passed by the route, the number of times the route appears, and the average length of all times the route appears. It should be noted that for multiple vehicles, when calculating the route score of a certain route, the number of times the route appears and the average length of all times the route appears are calculated using the data of multiple vehicles.
[0061] Table 2.
[0062] Vehicle ID route num count Mileage N1 R11 CN11 RC11 M12 N1 R12 CN12 RC12 M22 N2 R21 CN21 RC21 M21 N2 R22 CN22 RC22 M22 … … … … …
[0063] In a second aspect, an embodiment of the present application also provides a typical route determination device for a vehicle.
[0064] In one embodiment, referring to Figure 4 , Figure 4 This is a functional module diagram of an embodiment of a typical route determination device for a vehicle of the present application, such as Figure 4 As shown, a typical route determination device of a vehicle includes:
[0065] An acquisition module 10 is used to acquire a driving trajectory of a vehicle within a preset time period, and divide the driving trajectory into multiple routes with each city in the driving trajectory as a starting point;
[0066] A calculation module 20, for calculating a route score for each route according to the number of cities the route passes through, the number of times the route appears, and the average length of all times the route appears;
[0067] The determination module 30 is used to sort the routes according to the route scores, and select a preset number of routes from all the routes according to the sorting as typical routes of the vehicle, so as to perform economic performance index analysis on the vehicle based on the typical routes of the vehicle.
[0068] Furthermore, in one embodiment, the acquisition module 10 is used to:
[0069] The driving trajectories of multiple vehicles within the same preset time period are obtained, and for the driving trajectory of each vehicle, the driving trajectory is divided into multiple routes with each city in the driving trajectory as the starting point to obtain all the routes of each vehicle.
[0070] Furthermore, in one embodiment, the determination module 30 is used to:
[0071] Each route is sorted according to the route score, and a preset number of routes are selected from all the routes according to the sorting as typical routes common to multiple vehicles, so as to compare and analyze the economic performance indicators of each vehicle based on the typical routes common to multiple vehicles.
[0072] Furthermore, in one embodiment, the multiple vehicles are of the same model.
[0073] Furthermore, in one embodiment, the calculation module 20 is used to:
[0074] The route score is calculated by the formula based on the number of cities the route passes through, the number of times the route appears, and the average length of all times the route appears. The formula is:
[0075] score=math.pow(num,a)*math.pow(count,b)*math.pow(mileage,c);
[0076] Where score is the route score, math.pow(x,y) is a function that calculates x to the power of y, num is the number of cities that the route passes through, count is the number of times the route appears, mileage is the average length of all times the route appears, and a, b, and c are weight factors.
[0077] Among them, the functional implementation of each module in the above-mentioned typical route determination device for a vehicle corresponds to each step in the above-mentioned typical route determination method embodiment for a vehicle, and its functions and implementation processes will not be repeated here one by one.
[0078] In a third aspect, an embodiment of the present application provides a typical route determination device for a vehicle.
[0079] Reference Figure 5 , Figure 5Schematic diagram of the hardware structure of the typical route determination device for a vehicle involved in the embodiment of the present application. In the embodiment of the present application, the typical route determination device for a vehicle may include a processor, a memory, a communication interface, and a communication bus.
[0080] The communication bus may be of any type and is used to interconnect the processor, the memory, and the communication interface.
[0081] The communication interface includes an input / output (I / O) interface, a physical interface, and a logical interface, etc., which are used to interconnect the devices inside the typical route determination device of the vehicle, and an interface used to interconnect the typical route determination device of the vehicle with other devices (such as other computing devices or user devices). The physical interface can be an Ethernet interface, an optical fiber interface, an ATM interface, etc.; the user device can be a display, a keyboard, etc.
[0082] The memory can be various types of storage media, such as random access memory (RAM), read-only memory (ROM), non-volatile RAM (NVRAM), flash memory, optical storage, hard disk, programmable ROM (PROM), erasable PROM (EPROM), electrically erasable PROM (EEPROM), etc.
[0083] The processor may be a general-purpose processor, which may call a typical route determination program for a vehicle stored in a memory and execute the typical route determination method for a vehicle provided in an embodiment of the present application. For example, the general-purpose processor may be a central processing unit (CPU). The method executed when the typical route determination program for a vehicle is called may refer to the various embodiments of the typical route determination method for a vehicle of the present application, which will not be described in detail here.
[0084] Those skilled in the art will understand that Figure 5 The hardware structure shown in the figure does not constitute a limitation on the present application, and may include more or less components than shown in the figure, or combine certain components, or arrange the components differently.
[0085] In a fourth aspect, an embodiment of the present application also provides a readable storage medium.
[0086] The readable storage medium of the present application stores a typical route determination program for a vehicle, wherein when the typical route determination program for a vehicle is executed by a processor, the steps of the typical route determination method for a vehicle as described above are implemented.
[0087] Among them, the method implemented when the typical route determination program of the vehicle is executed can refer to the various embodiments of the typical route determination method of the vehicle of the present application, and will not be repeated here.
[0088] It should be noted that the serial numbers of the above-mentioned embodiments of the present application are only for description and do not represent the advantages or disadvantages of the embodiments.
[0089] The terms "including" and "having" and any variations thereof in the specification and claims of this application and the above-mentioned drawings are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally includes steps or units that are not listed, or optionally includes other steps or units inherent to these processes, methods, products or devices. The terms "first", "second" and "third" are used to distinguish different objects, etc., and do not represent a sequence, nor do they limit "first", "second" and "third" to different types.
[0090] In the description of the embodiments of the present application, "exemplary", "for example" or "for example" are used to indicate examples, illustrations or descriptions. Any embodiment or design described as "exemplary", "for example" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary", "for example" or "for example" is intended to present related concepts in a specific way.
[0091] In the description of the embodiments of the present application, unless otherwise specified, “ / ” means or, for example, A / B can mean A or B; the “and / or” in the text is merely a description of the association relationship of associated objects, indicating that three relationships may exist, for example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone. In addition, in the description of the embodiments of the present application, “multiple” refers to two or more than two.
[0092] In some processes described in the embodiments of the present application, multiple operations or steps that appear in a specific order are included, but it should be understood that these operations or steps may not be executed in the order in which they appear in the embodiments of the present application or in parallel, and the sequence number of the operation is only used to distinguish the different operations, and the sequence number itself does not represent any execution order. In addition, these processes may include more or fewer operations, and these operations or steps may be executed in sequence or in parallel, and these operations or steps may be combined.
[0093] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application is essentially or the part that contributes to the prior art can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, disk, CD) as described above, and includes a number of instructions for a terminal device to execute the methods described in each embodiment of the present application.
[0094] The above are only preferred embodiments of the present application, and are not intended to limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the present application specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present application.
Claims
1. A method for determining a typical route of a vehicle, characterized in that: The typical route determination method of the vehicle includes: Obtain the driving trajectory of the vehicle within a preset time period, and divide the driving trajectory into multiple routes with each city in the driving trajectory as the starting point; For each route, the route score is calculated based on the number of cities the route passes through, the number of times the route appears, and the average length of all times the route appears; Each route is sorted according to the route score, and a preset number of routes are selected from all the routes according to the sorting as typical routes of the vehicle, so as to perform economic performance index analysis on the vehicle based on the typical routes of the vehicle.
2. The method for determining a typical route of a vehicle according to claim 1, characterized in that: The step of obtaining the driving trajectory of the vehicle within a preset time period and dividing the driving trajectory into multiple routes with each city in the driving trajectory as a starting point includes: The driving trajectories of multiple vehicles within the same preset time period are obtained, and for the driving trajectory of each vehicle, the driving trajectory is divided into multiple routes with each city in the driving trajectory as the starting point to obtain all the routes of each vehicle.
3. The method for determining a typical route of a vehicle according to claim 2, characterized in that: The steps of sorting the routes according to the route scores and selecting a preset number of routes from all the routes according to the sorting as typical routes of the vehicle for analyzing the economic performance index of the vehicle based on the typical routes of the vehicle include: Each route is sorted according to the route score, and a preset number of routes are selected from all the routes according to the sorting as typical routes common to multiple vehicles, so as to compare and analyze the economic performance indicators of each vehicle based on the typical routes common to multiple vehicles.
4. The method for determining a typical route of a vehicle according to claim 2, characterized in that: The multiple vehicles are of the same model.
5. The method for determining a typical route of a vehicle according to claim 1, characterized in that: The route score calculated based on the number of cities the route passes through, the number of times the route appears, and the average length of all times the route appears includes: The route score is calculated by the formula based on the number of cities the route passes through, the number of times the route appears, and the average length of all times the route appears. The formula is: score=math.pow(num,a)*math.pow(count,b)*math.pow(mileage,c); Where score is the route score, math.pow(x,y) is a function that calculates x to the power of y, num is the number of cities that the route passes through, count is the number of times the route appears, mileage is the average length of all times the route appears, and a, b, and c are weight factors.
6. A typical route determination device for a vehicle, characterized in that: The typical route determination device of the vehicle includes: An acquisition module is used to acquire the driving trajectory of the vehicle within a preset time period, and divide the driving trajectory into multiple routes with each city in the driving trajectory as the starting point; A calculation module, for calculating a route score for each route according to the number of cities the route passes through, the number of times the route appears, and the average length of all times the route appears; The determination module is used to sort the routes according to the route scores, and select a preset number of routes from all the routes according to the sorting as typical routes of the vehicle, so as to analyze the economic performance index of the vehicle based on the typical routes of the vehicle.
7. The typical route determination device for a vehicle according to claim 6, characterized in that: The acquisition module is used to: The driving trajectories of multiple vehicles within the same preset time period are obtained, and for the driving trajectory of each vehicle, the driving trajectory is divided into multiple routes with each city in the driving trajectory as the starting point to obtain all the routes of each vehicle.
8. The typical route determination device for a vehicle according to claim 7, characterized in that: The determining module is used to: Each route is sorted according to the route score, and a preset number of routes are selected from all the routes according to the sorting as typical routes common to multiple vehicles, so as to compare and analyze the economic performance indicators of each vehicle based on the typical routes common to multiple vehicles.
9. A typical route determination device for a vehicle, characterized in that: The typical route determination device for the vehicle includes a processor, a memory, and a typical route determination program for the vehicle stored in the memory and executable by the processor, wherein when the typical route determination program for the vehicle is executed by the processor, the steps of the typical route determination method for the vehicle as described in any one of claims 1 to 5 are implemented.
10. A readable storage medium, characterized in that: The readable storage medium stores a typical route determination program for a vehicle, wherein when the typical route determination program for a vehicle is executed by a processor, the steps of the typical route determination method for a vehicle as claimed in any one of claims 1 to 5 are implemented.