A yaw processing method and system based on vehicle remote positioning electronic fence

Abstract

The present invention relates to the field of vehicle remote monitoring technology, in particular to a yaw processing method and system based on vehicle remote positioning electronic fence, comprising the following steps: confirming the initial route and constructing the initial electronic fence; judging whether the vehicle reasonably deviates from the electronic fence; if the vehicle reasonably deviates from the electronic fence, reconfirming the yaw route according to the current position of the vehicle, and constructing a dynamic electronic fence; if the vehicle abnormally deviates from the electronic fence, yaw processing is performed. The system includes a navigation module, a vehicle positioning module, an electronic fence construction module and a yaw processing module. It can reasonably judge whether the vehicle is reasonably yawed, that is, it can accurately regulate the driver's yaw behavior, and can give the driver a certain degree of freedom to choose the route independently; it has the advantage of improving transportation efficiency.

Description

Technical Field

[0001] The present invention belongs to the technical field of vehicle remote monitoring, and in particular to a yaw processing method and system based on vehicle remote positioning electronic fence. Background Art

[0002] With the development of freight and passenger transport industries, it is becoming increasingly difficult for operating platforms to control remote vehicles. Vehicles often deviate from their normal routes, and drivers often take on private jobs or take detours.

[0003] In order to prevent drivers of remote vehicles from deviating from their routes, operating platforms often set up electronic fences based on the navigation-planned paths for control and warning or processing of drivers' deviations. However, due to the limitations of navigation path planning and the lack of timely road updates, remote drivers often need to make appropriate deviations based on different situations. Therefore, when the platform's control is strict, it is difficult for remote drivers to independently choose a more efficient route, which affects operational efficiency and increases operating costs. When the platform's control is weak, it is often difficult to control remote drivers' violations, resulting in ineffective control.

[0004] Therefore, there is an urgent need for a yaw processing method that can reasonably judge whether a long-distance vehicle has deviated from its route and give the driver reasonable autonomy to choose. Summary of the invention

[0005] 1. Technical problem to be solved by the invention

[0006] The purpose of the present invention is to solve the existing problem of how to control the deviation behavior of remote vehicles.

[0007] 2. Technical solution

[0008] To achieve the above object, the present invention provides a technical solution: a yaw processing method based on vehicle remote positioning electronic fence, comprising the following steps:

[0009] Confirm the initial route and build the initial electronic fence;

[0010] Determine whether the vehicle has reasonably deviated from the electronic fence;

[0011] If the vehicle deviates from the electronic fence reasonably, the deviation route will be reconfirmed according to the current position of the vehicle and a dynamic electronic fence will be constructed;

[0012] If the vehicle deviates abnormally from the electronic fence, deviation processing will be performed.

[0013] Preferably, the initial electronic fence and the dynamic electronic fence are constructed as follows:

[0014] Plan several driving routes from the vehicle location to the destination according to different priorities;

[0015] The area formed by closing a plurality of the driving routes is set as an electronic fence;

[0016] Preferably, the judgment process when a vehicle deviates from the electronic fence is as follows:

[0017] Determine the deviation distance in real time;

[0018] If the deviation distance exceeds the set value, the driving route is reconstructed based on the vehicle's current position;

[0019] Determine whether the reconstructed driving route is reasonable;

[0020] If the reconstructed driving route is reasonable, it is judged that the vehicle has reasonably deviated from the electronic fence;

[0021] Otherwise, it is judged that the vehicle has abnormally deviated from the electronic fence.

[0022] Preferably, the reconstructed driving route determination process is as follows:

[0023] Calculate the estimated travel time, route distance and congestion of the reconstructed driving route;

[0024] Calculate the estimated travel time, route distance and congestion of the initial route;

[0025] If the estimated travel time, route distance and congestion of the reconstructed driving route all exceed the reasonable proportion of the initial route, the reconstructed driving route is judged to be unreasonable, otherwise the reconstructed driving route is judged to be reasonable.

[0026] Preferably, the yaw distance determination process is as follows:

[0027] Determine the vehicle location information; construct a number of positioning points at the edge of the electronic fence;

[0028] Determine whether the vehicle is within the electronic fence area; if the vehicle is within the electronic fence area, the yaw distance is 0;

[0029] If the vehicle drives out of the electronic fence area, the distance between the vehicle and the nearest positioning point is the yaw distance.

[0030] Preferably, a maximum deviation distance is set according to the initial electronic fence, and if the vehicle exceeds the maximum deviation distance, deviation processing is performed.

[0031] Preferably, the deviation processing includes one or more of prompting deviation, issuing a warning, confirming the situation with the driver through a wireless communication tool, providing feedback to a vehicle operation platform, and remotely locking the vehicle.

[0032] Preferably, when the vehicle deviates from the electronic fence, a deviation prompt is given and a return route is planned; if the vehicle returns to the electronic fence according to the return route, no deviation processing is performed.

[0033] Preferably, if the vehicle deviates from the initial route or the off-course route and is within the electronic fence area, a return route is planned or a travel route is replanned for the driver to choose.

[0034] A system using a yaw processing method based on vehicle remote positioning electronic fence includes a navigation module for route planning; a vehicle positioning module for real-time positioning of vehicle position information; an electronic fence construction module for demarcating an electronic fence area according to a path planned by the navigation module; and a yaw processing module for performing yaw processing.

[0035] 3. Beneficial effects

[0036] Compared with the prior art, the technical solution provided by the present invention has the following beneficial effects:

[0037] The present invention discloses a yaw processing method based on a vehicle remote positioning electronic fence, comprising the following steps: confirming the initial route and constructing the initial electronic fence; judging whether the vehicle reasonably deviates from the electronic fence; if the vehicle reasonably deviates from the electronic fence, reconfirming the yaw route according to the current position of the vehicle and constructing a dynamic electronic fence; if the vehicle abnormally deviates from the electronic fence, performing yaw processing. The system comprises a navigation module, a vehicle positioning module, an electronic fence construction module and a yaw processing module. It can reasonably judge whether the vehicle is reasonably yawed, that is, it can accurately regulate the driver's yaw behavior, and can give the driver a certain degree of freedom to choose the route independently; it has the advantage of improving transportation efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 A schematic diagram of the steps of the invented yaw processing method;

[0039] Figure 2 This is a module schematic diagram of a system for applying the yaw processing method of the present invention. DETAILED DESCRIPTION

[0040] To facilitate understanding of the present invention, the present invention will be described more comprehensively below. The present invention can be implemented in many different forms and is not limited to the embodiments described herein. On the contrary, the purpose of providing embodiments is to make the disclosure of the present invention more thorough and comprehensive.

[0041] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by technicians in the technical field to which the present invention belongs; the terms used in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention; the term "and / or" used herein includes any and all combinations of one or more related listed items.

[0042] Example 1

[0043] This embodiment provides a technical solution:

[0044] A system using a yaw processing method based on vehicle remote positioning electronic fence includes a navigation module for route planning; the navigation module uses Amap, Baidu Map, Google Map or 360 Map to plan the path.

[0045] The vehicle positioning module is used to locate the position information of the vehicle in real time; the vehicle positioning module is set in the TBOX of the vehicle and transmits the positioning information through the GPS BD of the vehicle TBOX.

[0046] An electronic fence construction module, used to define an electronic fence area according to the path planned by the navigation module;

[0047] The yaw processing module is used for yaw processing.

[0048] A yaw processing method based on vehicle remote positioning electronic fence includes the following steps:

[0049] Confirm the initial route and build an initial electronic fence; the initial route confirmation process is as follows: the service background confirms the starting and ending positions of the order, and after confirming that the vehicle has arrived at the designated starting position through the vehicle positioning module, the navigation module plans several driving routes from the vehicle position to the end point according to different priorities, and the driver independently selects the initial route, or determines the default recommended route as the initial route.

[0050] Determine whether the vehicle has reasonably deviated from the electronic fence;

[0051] If the vehicle deviates from the electronic fence reasonably, the yaw route is reconfirmed according to the current position of the vehicle, and a dynamic electronic fence is constructed; when the vehicle continues to deviate from the dynamic electronic fence and is judged to be reasonable, the new yaw route is repeatedly constructed and confirmed, and a new dynamic electronic fence is constructed.

[0052] If the vehicle deviates abnormally from the electronic fence, in order to prevent the driver from taking private work or using the power for personal gain, the vehicle will be deviated and the driver will be stopped from deviating in time.

[0053] In a preferred embodiment, the initial electronic fence and the dynamic electronic fence are constructed as follows:

[0054] Several driving routes from the vehicle location to the destination are planned according to different priorities; different priorities include sorting by factors such as shortest driving time, least congested route, shortest driving distance or longest highway distance.

[0055] The electronic fence construction module sets the area formed by the above-mentioned multiple different driving routes as an electronic fence; within the electronic fence area, the driver can independently choose a driving route or change the driving route according to actual conditions.

[0056] In the preferred solution, the judgment process when a vehicle deviates from the electronic fence is as follows:

[0057] Determine the deviation distance in real time;

[0058] If the deviation distance exceeds the set value, the driving route is reconstructed based on the current position of the vehicle; the set value range is 500m to 1000m. This distance range is established based on the distance between the expressway route and the expressway exit. In long-distance transportation, vehicles usually travel on expressways. If the vehicle's deviation distance exceeds the set value, it means that the vehicle has exited the expressway exit and there is a possibility that the driver has deviated without authorization.

[0059] The driving route is reconstructed based on the position of the vehicle when the deviation is confirmed, and whether the reconstructed driving route is reasonable is judged; further, it is judged whether the driver has independently selected a reasonable driving route.

[0060] If the reconstructed driving route is reasonable, it is judged that the vehicle has reasonably deviated from the electronic fence;

[0061] Otherwise, the vehicle is judged to have deviated abnormally from the electronic fence and needs to be processed to control the driver's illegal behavior.

[0062] In the preferred embodiment, the reconstructed driving route determination process is as follows:

[0063] Calculate the estimated travel time, route distance and congestion of the reconstructed driving route;

[0064] Calculate the estimated travel time, route distance and congestion of the initial route;

[0065] If the estimated travel time, route distance and congestion of the reconstructed travel route all exceed the reasonable proportion of the initial route, the reasonable proportion is preferably 30%, that is, the estimated travel time is greater than 130% of the initial route, the route distance is greater than 130% of the initial route, and the congestion reference value is greater than 130% of the initial route, then the reconstructed travel route is judged to be unreasonable, otherwise the reconstructed travel route is judged to be reasonable. In addition, different reasonable proportions can be set for different judgment factors.

[0066] The congestion situation is calculated as follows: confirm the congested sections, calculate the expected travel time of different congested sections and the total distance of the congested sections respectively, and divide the total distance of the congested sections by the sum of the expected travel time of different congested sections to obtain the congestion situation reference value.

[0067] In the preferred embodiment, the process of determining the yaw distance is as follows:

[0068] Determine vehicle location information; construct a plurality of positioning points at the edge of the electronic fence; the method of constructing the positioning points includes setting the positioning points at a certain interval or setting all intersections at the edge of the electronic fence as positioning points.

[0069] Determine whether the vehicle is within the electronic fence area; if the vehicle is within the electronic fence area, the yaw distance is 0;

[0070] If the vehicle drives out of the electronic fence area, the distance between the vehicle and the nearest positioning point is the deviation distance. When the deviation distance exceeds the set value, the positioning point closest to the vehicle is set as the deviation point.

[0071] In the preferred embodiment, a maximum deviation distance is set according to the initial electronic fence. If the vehicle exceeds the maximum deviation distance, deviation processing is performed. The maximum deviation distance is set to be more than 2000m. When the vehicle deviates from the initial electronic fence by a large distance, the probability that the driver will autonomously choose a reasonable route is low. Therefore, deviation processing is required to verify whether the driver has violated the regulations.

[0072] In a preferred embodiment, the deviation processing includes prompting deviation, issuing a warning, and reminding the driver to consciously return to the electronic fence;

[0073] Or contact the driver through SMS, WeChat client and other wireless communication tools to confirm the situation, find out the cause, and decide whether to cancel the warning and prompt according to the specific situation;

[0074] If contact cannot be made and the vehicle continues to deviate, feedback will be provided to the vehicle operation platform;

[0075] When the vehicle is severely yawed and stopped, the vehicle can be locked remotely.

[0076] In the preferred solution, when the vehicle deviates from the electronic fence, it will be prompted to deviate and a return route will be planned; if the vehicle returns to the electronic fence along the return route, no deviation processing will be performed. In order to prevent the driver from mistakenly leaving the electronic fence, when the vehicle deviates, it will be prompted to deviate and a return route will be planned, so that the driver can return to the electronic fence reasonably and in a timely manner.

[0077] In a preferred solution, if the vehicle deviates from the initial route or the off-course route and is within the electronic fence area, a return route is planned or a travel route is replanned for the driver to choose.

[0078] The above-described embodiments only express a certain implementation mode of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the patent scope of the present invention. It should be pointed out that, for ordinary technicians in this field, several modifications and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be based on the attached claims.

Claims

1. A yaw processing method based on vehicle remote positioning electronic fence, characterized in that: The steps include: Confirm the initial route and build the initial electronic fence; Determine whether the vehicle has reasonably deviated from the electronic fence; the judgment process when the vehicle deviates from the electronic fence is as follows: Determine the deviation distance in real time; If the deviation distance exceeds the set value, the driving route is reconstructed based on the current position of the vehicle; the set value range is 500m to 1000m; Determine whether the reconstructed driving route is reasonable; the determination process of the reconstructed driving route is as follows: Calculate the estimated travel time, route distance and congestion of the reconstructed driving route; Calculate the estimated travel time, route distance and congestion of the initial route; If the estimated travel time, route distance and congestion of the reconstructed driving route all exceed the reasonable proportion of the initial route, the reconstructed driving route is judged to be unreasonable, otherwise the reconstructed driving route is judged to be reasonable; If the reconstructed driving route is reasonable, it is judged that the vehicle has reasonably deviated from the electronic fence; Otherwise, it is judged that the vehicle has abnormally deviated from the electronic fence; If the vehicle deviates from the electronic fence reasonably, the deviation route will be reconfirmed according to the current position of the vehicle and a dynamic electronic fence will be constructed; If the vehicle deviates abnormally from the electronic fence, deviation processing will be performed; The process of determining the yaw distance is as follows: Determine the vehicle location information; construct a number of positioning points at the edge of the electronic fence; Determine whether the vehicle is within the electronic fence area; if the vehicle is within the electronic fence area, the yaw distance is 0; If the vehicle goes out of the electronic fence area, the distance between the vehicle and the nearest positioning point is the yaw distance.

2. A yaw processing method based on vehicle remote positioning electronic fence according to claim 1, characterized in that: The initial electronic fence and the dynamic electronic fence are constructed as follows: Plan several driving routes from the vehicle location to the destination according to different priorities; An area formed by closing a plurality of the driving routes is set as an electronic fence.

3. The yaw processing method based on vehicle remote positioning electronic fence according to claim 1 is characterized by: According to the initial electronic fence, a maximum deviation distance is set. If the vehicle exceeds the maximum deviation distance, deviation processing is performed.

4. The yaw processing method based on vehicle remote positioning electronic fence according to claim 1 is characterized by: The deviation processing includes one or more of the following methods: prompting deviation, issuing warnings, confirming the situation with the driver through wireless communication tools, providing feedback to the vehicle operation platform, and remotely locking the vehicle.

5. The yaw processing method based on vehicle remote positioning electronic fence according to claim 1 is characterized by: When the vehicle deviates from the electronic fence, a deviation prompt is given and a return route is planned; if the vehicle returns to the electronic fence along the return route, no deviation processing is performed.

6. A yaw processing method based on vehicle remote positioning electronic fence according to claim 2, characterized in that: If the vehicle deviates from the initial route or the deviated route and is within the electronic fence area, a return route will be planned or the route will be replanned for the driver to choose.

7. A system using any one of the vehicle remote positioning electronic fence yaw processing methods according to claims 1 to 6, characterized in that: Includes a navigation module for route planning; Vehicle positioning module, used to locate the vehicle's position information in real time; An electronic fence construction module, used to define an electronic fence area according to the path planned by the navigation module; The yaw processing module is used for yaw processing.

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