A target travel identification method and system
Patent Information
- Application Number
- CN202310436415.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2023-04-21
- Publication Date
- 2026-08-28
- Estimated Expiration
- 2043-04-21
AI Technical Summary
[0004]本发明所要解决的是现有行程方法扩展性差,对于偏移量较大的情况,无法准确识别行程经过的特定区域和点位的问题,为了解决上述技术问题,本发明提供了一种目标行程识别方法及系统
[0031]本方案通过在电子地图上绘制电子围栏监测区域,通过电子围栏的方式自定义道路,根据目标的定位数据判断目标进入电子围栏的情况,从而实现车辆的行程识别及途经点识别,将离散的车辆位置轨迹信息与道路信息进行了匹配。本方案不依赖于是否有外场设备,也不需要部署大量的服务器计算资源和购置GIS地图等设施,利用最简约的计算开销,即可快速实现车辆的北斗轨迹信息和道路信息的关联,输出车辆途径道路的行程信息,为开展各种道路交通的分析打下基础。
Smart Images

Figure CN116469252B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of traffic data analysis and processing, and in particular to a method and system for identifying target routes. Background Technology
[0002] Many vehicles now have BeiDou satellite vehicle terminals. If the BeiDou location trajectory data from the satellite vehicle terminal is matched with road information, vehicle driving behavior analysis and traffic flow analysis can be performed. However, the trajectory points reported by the BeiDou vehicle terminal only contain latitude and longitude information and cannot directly obtain the road information. Currently, the main methods for trajectory travel identification are to use existing roadside equipment such as highway ETC gantries for travel identification, identify some key points on the road by matching the positioning points with the actual road, and perform grid processing on the road network information to identify the travel location by identifying the grid position where the positioning point falls.
[0003] However, existing recognition methods are only applicable to roads and cannot be extended to non-road scenarios. Furthermore, they cannot accurately identify specific areas and points along the route when the offset is large, resulting in low recognition accuracy. Summary of the Invention
[0004] The present invention aims to address the problem that existing travel methods have poor scalability and cannot accurately identify specific areas and points traversed by the travel path when the offset is large. In order to solve the above technical problems, the present invention provides a target travel identification method and system.
[0005] The first aspect provides a target journey identification method, including:
[0006] Draw the electronic fence monitoring area at the preset location on the electronic map and determine the topological orientation relationship of all electronic fence monitoring areas;
[0007] Acquire the target's location data and determine whether the target is located inside the electronic fence monitoring area based on the location data. When the target is located inside the electronic fence monitoring area, record the identification time.
[0008] When the target is located inside at least two electronic fence monitoring areas, it is determined whether all the electronic fence monitoring areas where the target is located belong to the same trip based on the topological pointing relationship and the identification time.
[0009] In one possible implementation of the first aspect, an electronic fence monitoring area is drawn at a preset location on the electronic map, specifically including:
[0010] When performing trip identification for vehicles, electronic fence monitoring areas are drawn at the gantries or toll stations of the national highway network on the electronic map, or virtual waypoints are set on the roads on the electronic map, and electronic fence monitoring areas are drawn at the virtual waypoints.
[0011] In one possible implementation of the first aspect, determining whether the target is located inside the electronic fence monitoring area based on the positioning data specifically includes:
[0012] The target location in the electronic map is determined based on the positioning data;
[0013] With the target location as the center, draw rays in any direction. When the number of intersections between at least one ray and the edge of the first electronic fence monitoring area is even, the target location is inside the first electronic fence monitoring area.
[0014] The first electronic fence monitoring area is any one of all electronic fence monitoring areas.
[0015] In one possible implementation of the first aspect, determining whether all electronic fence monitoring areas where the target is located belong to the same route based on the topological pointing relationship and the identification time specifically includes:
[0016] Based on the topological pointing relationship, determine whether the adjacent electronic fence monitoring areas where the target is located have a topological relationship;
[0017] Based on the identification time, determine whether the target passes through the adjacent electronic fence monitoring area within a preset time;
[0018] When adjacent electronic fence monitoring areas have a topological relationship and the target passes through the adjacent electronic fence monitoring areas within a preset time, the adjacent electronic fence monitoring areas belong to the same travel route; otherwise, they belong to different travel routes.
[0019] One possible implementation of the first aspect also includes:
[0020] Different travel routes are assigned different travel identification codes, and the name, identification time, and travel identification code of the electronic fence monitoring area that the target passes through and belongs to the same travel route are output.
[0021] Secondly, a target journey recognition system is provided, comprising:
[0022] The fence determination unit is used to draw the electronic fence monitoring area at a preset location on the electronic map and determine the topological orientation relationship of all electronic fence monitoring areas.
[0023] The fence determination unit is used to acquire the target's location data and determine whether the target is located inside the electronic fence monitoring area based on the location data. When the target is located inside the electronic fence monitoring area, the identification time is recorded.
[0024] The travel determination unit is used to determine, based on the topological pointing relationship and the identification time, whether all the electronic fence monitoring areas where the target is located belong to the same travel when the target is located inside at least two electronic fence monitoring areas.
[0025] In one possible implementation of the second aspect, the fence determination unit is specifically used to draw an electronic fence monitoring area at the national highway network gantry or toll station on the electronic map when performing trip identification of a vehicle, or to set up virtual waypoints on the road in the electronic map and draw an electronic fence monitoring area at the virtual waypoints.
[0026] In one possible implementation of the second aspect, the fence determination unit is specifically used to determine the target location of the target in the electronic map based on the positioning data; with the target location as the center, rays are drawn in any direction, and when the number of intersections between at least one ray and the edge of the first electronic fence monitoring area is even, the target location is inside the first electronic fence monitoring area;
[0027] The first electronic fence monitoring area is any one of all electronic fence monitoring areas.
[0028] In one possible implementation of the second aspect, the journey determination unit is specifically used to determine whether the adjacent electronic fence monitoring areas where the target is located have a topological relationship based on the topological pointing relationship; to determine whether the target passes through the adjacent electronic fence monitoring areas within a preset time based on the identification time; when the adjacent electronic fence monitoring areas have a topological relationship and the target passes through the adjacent electronic fence monitoring areas within the preset time, the adjacent electronic fence monitoring areas belong to the same journey; otherwise, they belong to different journeys.
[0029] One possible implementation of the second aspect also includes:
[0030] The travel output unit is used to assign different travel identification codes to different travel routes and output the name, identification time and travel identification code of the electronic fence monitoring area that the target passes through and belongs to the same travel route.
[0031] This solution uses electronic fences to monitor areas on an electronic map, defines roads using these fences, and determines whether a target enters the fence based on its location data. This enables vehicle journey identification and waypoint recognition, matching discrete vehicle location trajectory information with road information. This solution does not rely on field equipment, nor does it require deploying large amounts of server computing resources or purchasing GIS maps. Utilizing minimal computational overhead, it can quickly correlate vehicle BeiDou trajectory information with road information, outputting vehicle journey information and laying the foundation for various road traffic analyses.
[0032] The advantages of additional aspects of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. Attached Figure Description
[0033] Figure 1 A flowchart illustrating an embodiment of the target journey identification method of the present invention;
[0034] Figure 2 A schematic diagram illustrating intersection point determination provided for an embodiment of the target journey identification method of the present invention;
[0035] Figure 3 A flowchart illustrating other embodiments of the target journey identification method of the present invention;
[0036] Figure 4 This is a schematic diagram of an electronic fence monitoring area provided for another embodiment of the target travel identification method of the present invention. Detailed Implementation
[0037] The principles and features of the present invention are described below with reference to the accompanying drawings. The embodiments described are only for explaining the present invention and are not intended to limit the scope of the present invention.
[0038] like Figure 1 The diagram shown is a flowchart illustrating an embodiment of the target travel identification method of the present invention. The target travel identification method includes:
[0039] S1, Draw the electronic fence monitoring area at the preset location on the electronic map and determine the topological orientation relationship of all electronic fence monitoring areas;
[0040] It should be noted that the preset location can be set according to actual needs. For example, taking vehicle recognition as an example, the preset location can be a toll station on a real road or a virtual waypoint set by yourself. For example, taking ship recognition as an example, the preset location can be a virtual waypoint on a shipping route.
[0041] The shape of the electronic fence monitoring area can be set according to actual needs. For ease of subsequent judgment, a convex polygon is preferred.
[0042] Topological pointing relationship refers to a defined passage relationship. For example, if three electronic fence monitoring areas are set up sequentially on a road, then these three electronic fence monitoring areas have a topological pointing relationship. Suppose there are two electronic fence monitoring areas on another road, but the two roads are not connected, then the electronic fence monitoring areas on the two roads do not have a topological pointing relationship.
[0043] S2, acquire the target's location data, and determine whether the target is located inside the electronic fence monitoring area based on the location data. When the target is located inside the electronic fence monitoring area, record the recognition time.
[0044] It should be noted that the BeiDou positioning data of the target can be obtained through the satellite BeiDou vehicle terminal installed in the vehicle.
[0045] Optionally, the location of a target within the electronic fence monitoring area can be determined by the point-to-surface relationship. The target's location data is considered as a point element, and the electronic fence monitoring area is considered as a surface element. By identifying the spatial relationship between the point element and the surface element, it can be determined whether the target is located within the electronic fence monitoring area.
[0046] S3, when the target is located inside at least two electronic fence monitoring areas, determine whether all electronic fence monitoring areas where the target is located belong to the same trip based on the topological pointing relationship and the identification time.
[0047] It should be noted that when two electronic fence monitoring areas have a topological relationship, that is, the two electronic fence monitoring areas are passable and there are no other electronic fence monitoring areas between the two electronic fence monitoring areas, then the two electronic fence monitoring areas are considered to have a topological relationship, and the time when the vehicle passes through the two electronic fence monitoring areas is continuous, then the two electronic fence monitoring areas belong to the same trip.
[0048] This embodiment uses electronic fences to create monitoring areas on an electronic map and defines roads through these fences. Based on the target's location data, it determines whether the target has entered the electronic fence, thereby achieving vehicle journey identification and waypoint identification. It matches discrete vehicle location trajectory information with road information. This solution does not rely on field equipment, nor does it require deploying large amounts of server computing resources or purchasing GIS maps. Utilizing minimal computational overhead, it can quickly correlate vehicle BeiDou trajectory information with road information, outputting vehicle journey information and laying the foundation for various road traffic analyses.
[0049] Compared to methods that rely on ETC gantries to generate rectangles for trip identification, this embodiment does not require the installation of roadside equipment along highways. The electronic fence monitoring area can be drawn according to actual needs, and can be a toll station on the road, a marker in farmland, a reef or lighthouse at sea, or a virtual waypoint set at a preset location. Therefore, it has a wide range of applicable scenarios, does not require the installation of expensive equipment, and has the advantages of low cost and high flexibility. The monitoring object is not limited to the gantries on the actual road and can be flexibly set and modified according to individual needs. When the road or location to be monitored changes, only the electronic fence information needs to be modified, without involving the maintenance of road network information.
[0050] Compared to the road matching method that pre-matches the location points to the corresponding roads and then calculates the corresponding waypoints and other information, this solution does not need to perform a matching algorithm on all location points. Therefore, the computational efficiency is relatively high, and it does not require a lot of computing resources. It only needs to perform point-to-area discrimination and topology judgment, and can process large-scale location point data streams in real time.
[0051] Furthermore, as a prerequisite algorithm for trip identification, the road matching method will inevitably lead to errors in subsequent trip identification if the road matching calculation is incorrect. Therefore, the accuracy of trip identification using the road matching method is low when the positioning point offset is large. However, the electronic fence monitoring area of this solution is large, so even when the positioning point offset is large, the vehicle trip can still be reliably identified.
[0052] Furthermore, both road matching and grid-based methods require road network data to execute, but open-source road network data has a certain lag and therefore cannot fully reflect the road conditions. Real-time and accurate road networks generally need to be purchased from map providers and require continuous maintenance as roads change, resulting in high usage costs. Since both road matching and grid-based methods require road network data, their application is limited to actual roads and cannot be extended to non-road scenarios. In contrast, the electronic fence monitoring area of this solution does not depend on road network data, can be extended to a variety of applicable scenarios, and is more practical.
[0053] Optionally, in some possible implementations, an electronic fence monitoring area is drawn at a preset location on the electronic map, specifically including:
[0054] When performing trip identification for vehicles, electronic fence monitoring areas are drawn at the gantries or toll stations of the national highway network on the electronic map, or virtual waypoints are set on the roads on the electronic map, and electronic fence monitoring areas are drawn at the virtual waypoints.
[0055] Optionally, in some possible implementations, determining whether the target is located inside the electronic fence monitoring area based on positioning data specifically includes:
[0056] Determine the target's location on the electronic map based on the positioning data;
[0057] With the target location as the center, draw rays in any direction. When there is at least one ray that intersects with the edge of the first electronic fence monitoring area at an even number of points, the target location is inside the first electronic fence monitoring area.
[0058] The first electronic fence monitoring area is any one of all electronic fence monitoring areas.
[0059] For example, such as Figure 2 As shown, four examples are given. When the number of intersections between the point and the polygon is 1 and 3, the point is inside the polygon; when the number of intersections is 2 and 4, the point is outside the polygon.
[0060] It should be understood that, in order to improve the recognition speed, the system can be set to center on the target location and determine the number of intersections of the electronic fence monitoring area closest to the center.
[0061] It can also be set to identify the number of intersections of all electronic fence monitoring areas within a certain radius centered on the target location.
[0062] Optionally, in some possible implementations, it is determined whether all electronic fence monitoring areas where the target is located belong to the same trip based on topological pointing relationships and identification time, specifically including:
[0063] Determine whether the adjacent electronic fence monitoring areas where the target is located have a topological relationship based on the topological pointing relationship;
[0064] The system determines whether the target passed through the adjacent electronic fence monitoring area within a preset time based on the identification time.
[0065] When adjacent electronic fence monitoring areas have a topological relationship and a target passes through an adjacent electronic fence monitoring area within a preset time, the adjacent electronic fence monitoring areas belong to the same travel path; otherwise, they belong to different travel paths.
[0066] It should be understood that having a topological relationship means that there is a passable path between two electronic fence monitoring areas, that is, starting from A, you can reach B without passing through other waypoints. In this case, A and B are considered to belong to the same route.
[0067] For example, if a vehicle passes through electronic fence monitoring areas A and B in sequence within a certain period of time, and there is only one road between electronic fence monitoring areas A and B, and there are no other electronic fence monitoring areas between electronic fence monitoring areas A and B, then it can be determined that electronic fence monitoring areas A and B belong to the same journey.
[0068] It should be noted that the preset time can be set according to actual needs. The preset time is used to ensure the continuity of the journey. For example, if the slowest time from the electronic fence monitoring area A to B is 5 hours, then only if the vehicle travels from the electronic fence monitoring area A to B within 5 hours will it be considered that the electronic fence monitoring areas A and B belong to the same journey. Otherwise, the electronic fence monitoring areas A and B do not belong to the same journey.
[0069] Optionally, the electronic fence monitoring areas for the same journey can be sorted by identification time to identify the round-trip journey of the vehicle.
[0070] For example, ABC are electronic fence monitoring areas with a topological relationship. Suppose a vehicle starts from B, reaches C, returns to B, and finally arrives at A, with the vehicle's journey being BCBA. If we only judge based on the topological relationship, since the vehicle falls into A after being identified, it is difficult to determine whether the vehicle started from B and arrived at A, or arrived at A after returning from C. However, by adding the identification time, this problem can be solved. By adding the identification time and sorting the electronic fence monitoring areas that the vehicle passes through in chronological order, the complete journey of the vehicle can be determined, thus identifying the vehicle's round trip.
[0071] Optionally, in some possible implementations, it also includes:
[0072] Different travel routes are assigned different travel identification codes, and the names, identification times and travel identification codes of the electronic fence monitoring areas that the target passes through and that belong to the same travel route are output.
[0073] like Figure 3 As shown, taking vehicle trip recognition as an example, a more specific recognition method is given below. Figure 3 The present invention will be further described below.
[0074] First, collect and organize data on the national expressway network, including information on gantries or toll stations. Specifically, this includes collecting the gantry's number, name, latitude and longitude location, and the toll station's number, toll mileage, and toll start and end latitude and longitude.
[0075] Then, based on the toll mileage and toll range or toll station entry and exit of the gantry, draw the electronic fence monitoring area on the electronic map, or set up virtual waypoints on the road according to actual needs and draw the electronic fence monitoring area for them, and write the drawn electronic fence monitoring area into the fence cache.
[0076] like Figure 4 As shown, a schematic diagram of the electronic fence monitoring area is presented.
[0077] It should be understood that the topological pointing relationship between waypoints also needs to be configured in advance, that is, to mark the next waypoint that can be reached directly from a certain waypoint without passing through other waypoints.
[0078] It can receive and acquire vehicle BeiDou positioning data in real time, including but not limited to license plate, license plate color, latitude and longitude, travel time and other travel information.
[0079] Then, electronic fence identification is performed to determine the relationship between the vehicle's latitude and longitude location point elements and the plotted electronic fence area elements, that is, whether the point element is inside the area element. If the point element is inside the area, the vehicle can travel on the target road segment. The license plate, license plate color, waypoint number, waypoint name, and identification time are output.
[0080] Finally, topology relationship determination is performed. When a vehicle falls into two or more electronic fences, it is determined whether the two waypoints belong to the same trip based on the topology relationship and time relationship. Based on the determination, a trip ID is assigned to the output result, and the license plate, license plate color, waypoint number, waypoint name, recognition time, and trip ID are output. The recognition result is written to the cache.
[0081] The present invention also provides a target travel recognition system, comprising:
[0082] The fence determination unit is used to draw the electronic fence monitoring area at a preset location on the electronic map and determine the topological orientation relationship of all electronic fence monitoring areas.
[0083] The fence judgment unit is used to acquire the target's location data and determine whether the target is located inside the electronic fence monitoring area based on the location data. When the target is located inside the electronic fence monitoring area, the recognition time is recorded.
[0084] The travel determination unit is used to determine whether all the electronic fence monitoring areas where the target is located belong to the same travel path based on the topological pointing relationship and the identification time when the target is located inside at least two electronic fence monitoring areas.
[0085] This embodiment uses electronic fences to create monitoring areas on an electronic map and defines roads through these fences. Based on the target's location data, it determines whether the target has entered the electronic fence, thereby achieving vehicle journey identification and waypoint identification. It matches discrete vehicle location trajectory information with road information. This solution does not rely on field equipment, nor does it require deploying large amounts of server computing resources or purchasing GIS maps. Utilizing minimal computational overhead, it can quickly correlate vehicle BeiDou trajectory information with road information, outputting vehicle journey information and laying the foundation for various road traffic analyses.
[0086] Optionally, in some possible implementations, the fence determination unit is specifically used to draw an electronic fence monitoring area at the national highway network gantry or toll station on the electronic map when performing trip identification of vehicles, or to set up virtual waypoints on the roads of the electronic map and draw an electronic fence monitoring area at the virtual waypoints.
[0087] Optionally, in some possible implementations, the fence determination unit is specifically used to determine the target location in the electronic map based on the positioning data; with the target location as the center, rays are drawn in any direction, and when the number of intersections between at least one ray and the edge of the first electronic fence monitoring area is even, the target location is inside the first electronic fence monitoring area.
[0088] The first electronic fence monitoring area is any one of all electronic fence monitoring areas.
[0089] Optionally, in some possible implementations, the journey determination unit is specifically used to determine whether the adjacent electronic fence monitoring areas where the target is located have a topological relationship based on the topological pointing relationship; to determine whether the target passes through the adjacent electronic fence monitoring areas within a preset time based on the identification time; when the adjacent electronic fence monitoring areas have a topological relationship and the target passes through the adjacent electronic fence monitoring areas within a preset time, the adjacent electronic fence monitoring areas belong to the same journey; otherwise, they belong to different journeys.
[0090] Optionally, in some possible implementations, it also includes:
[0091] The travel output unit is used to assign different travel identification codes to different travel routes, and outputs the name, identification time and travel identification code of the electronic fence monitoring area that the target passes through and belongs to the same travel route.
[0092] It should be understood that the above implementation methods are product implementation methods corresponding to the prior method implementation methods. For a description of the product implementation methods, please refer to the description of the prior method implementation methods, which will not be repeated here.
[0093] It should be understood that, without departing from the concept of the present invention, those skilled in the art can combine the above embodiments in any way, and all such combinations are within the protection scope of the present invention.
[0094] Readers should understand that in the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are included in at least one embodiment or example of the present invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Furthermore, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.
[0095] In the several embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the method embodiments described above are merely illustrative. For instance, the division of steps is only a logical functional division, and there may be other division methods in actual implementation. For example, multiple steps may be combined or integrated into another step, or some features may be ignored or not executed.
[0096] If the above methods are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, in essence, or the part that contributes to the prior art, or all or part 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 of the various embodiments of this invention. 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.
[0097] The above are merely specific embodiments of the present invention, but the scope of protection of the present invention is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications or substitutions within the technical scope disclosed in the present invention, and these modifications or substitutions should all be covered within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.
Claims
1. A target journey identification method, characterized in that, include: Draw the electronic fence monitoring area at the preset location on the electronic map and determine the topological orientation relationship of all electronic fence monitoring areas; Acquire the target's location data and determine whether the target is located inside the electronic fence monitoring area based on the location data. When the target is located inside the electronic fence monitoring area, record the identification time. When the target is located inside at least two electronic fence monitoring areas, it is determined whether all the electronic fence monitoring areas where the target is located belong to the same trip based on the topological pointing relationship and the identification time. Based on the topological pointing relationship and the identification time, it is determined whether all the electronic fence monitoring areas where the target is located belong to the same trip, specifically including: Based on the topological pointing relationship, determine whether the adjacent electronic fence monitoring areas where the target is located have a topological relationship; Based on the identification time, determine whether the target passes through the adjacent electronic fence monitoring area within a preset time; When the adjacent electronic fence monitoring areas have a topological relationship and the target passes through the adjacent electronic fence monitoring areas within a preset time, the adjacent electronic fence monitoring areas belong to the same route; otherwise, they belong to different routes. Having a topological relationship means that there is a passable path between two electronic fence monitoring areas.
2. The target journey identification method according to claim 1, characterized in that, The electronic fence monitoring area is drawn at a preset location on the electronic map, specifically including: When performing trip identification for vehicles, electronic fence monitoring areas are drawn at the gantries or toll stations of the national highway network on the electronic map, or virtual waypoints are set on the roads on the electronic map, and electronic fence monitoring areas are drawn at the virtual waypoints.
3. The target journey identification method according to claim 1, characterized in that, Determining whether the target is located within the electronic fence monitoring area based on the positioning data specifically includes: The target location in the electronic map is determined based on the positioning data; With the target location as the center, draw rays in any direction. When the number of intersections between at least one ray and the edge of the first electronic fence monitoring area is odd, the target location is inside the first electronic fence monitoring area. The first electronic fence monitoring area is any one of all electronic fence monitoring areas.
4. The target journey identification method according to claim 1, characterized in that, Also includes: Different travel routes are assigned different travel identification codes, and the name, identification time, and travel identification code of the electronic fence monitoring area that the target passes through and belongs to the same travel route are output.
5. A target journey recognition system, characterized in that, include: The fence determination unit is used to draw the electronic fence monitoring area at a preset location on the electronic map and determine the topological orientation relationship of all electronic fence monitoring areas. The fence determination unit is used to acquire the target's location data and determine whether the target is located inside the electronic fence monitoring area based on the location data. When the target is located inside the electronic fence monitoring area, the identification time is recorded. The travel determination unit is used to determine, based on the topological pointing relationship and the identification time, whether all the electronic fence monitoring areas where the target is located belong to the same travel when the target is located inside at least two electronic fence monitoring areas; Based on the topological pointing relationship and the identification time, it is determined whether all the electronic fence monitoring areas where the target is located belong to the same trip, specifically including: Based on the topological pointing relationship, determine whether the adjacent electronic fence monitoring areas where the target is located have a topological relationship; Based on the identification time, determine whether the target passes through the adjacent electronic fence monitoring area within a preset time; When the adjacent electronic fence monitoring areas have a topological relationship and the target passes through the adjacent electronic fence monitoring areas within a preset time, the adjacent electronic fence monitoring areas belong to the same route; otherwise, they belong to different routes. Having a topological relationship means that there is a passable path between two electronic fence monitoring areas.
6. The target journey recognition system according to claim 5, characterized in that, The fence determination unit is specifically used to draw an electronic fence monitoring area at the gantry or toll station of the national highway network on the electronic map when performing trip identification of vehicles, or to set up virtual waypoints on the roads of the electronic map and draw an electronic fence monitoring area at the virtual waypoints.
7. The target journey recognition system according to claim 5, characterized in that, The fence determination unit is specifically used to determine the target location of the target in the electronic map based on the positioning data; with the target location as the center, a ray is drawn in any direction, and when the number of intersections between at least one ray and the edge of the first electronic fence monitoring area is odd, the target location is inside the first electronic fence monitoring area; The first electronic fence monitoring area is any one of all electronic fence monitoring areas.
8. The target journey recognition system according to claim 5, characterized in that, Also includes: The travel output unit is used to assign different travel identification codes to different travel routes and output the name, identification time and travel identification code of the electronic fence monitoring area that the target passes through and belongs to the same travel route.
Citation Information
Patent Citations
Vehicle management and control area travel identification method and device, electronic equipment and storage medium
CN115082277A
Automatic geofence determination
US20160003627A1