A beidou-based traffic anomaly scene pre-avoiding device

Abstract

The application discloses a traffic abnormality on-site pre-avoiding device based on Beidou, which comprises a Beidou satellite, a positioning device, a target vehicle display device, a central computer, a display device and a power supply device; the Beidou satellite is used for monitoring roads and generating map information; the positioning device is used for determining the size and position of each vehicle in a photo; the target vehicle display device is used for displaying the size, position and driving direction of a target vehicle car tar; and the central computer is used for performing the following operation output route sh=ROU; and the technical problem that a vehicle cannot quickly avoid or drive away from an abnormal area after traffic abnormality in the prior art is solved.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of traffic safety, in particular to a traffic abnormality site pre-avoidance device based on Beidou. BACKGROUND

[0002] Nowadays, there are more and more vehicles in the society, but with the increase of vehicles, traffic congestion is becoming more and more serious. Sometimes, traffic congestion is also caused by natural disasters or accidents. For traffic congestion, the current traffic congestion is usually commanded by traffic police on site, and for target vehicles, the position of congestion is usually marked on a map in advance or other bypass routes are provided. However, for target vehicles that are already in the congestion area or have no bypass route, the prior art cannot provide a faster passing route.

[0003] Therefore, it is necessary to improve the prior art to solve the above technical problems. SUMMARY

[0004] Therefore, it is necessary to improve the prior art to solve the above technical problems.

[0005] The first aspect of the embodiment of the present application provides a traffic abnormality site pre-avoidance device based on Beidou, which comprises a Beidou satellite, a positioning device, a target vehicle display device, a central computer, a display device and a power supply device.

[0006] The Beidou satellite is used to monitor the road and generate map information. If an abnormal road condition is found, a photo of the abnormal place is taken, and the average speed v of the vehicles in the photo range is determined. The photo range can be set to 1 km of road, 5 km of road, 10 km of road, etc. according to actual needs. The positioning device is used to determine the size and position of each vehicle in the photo. The target vehicle display device is used to display the size, position and driving direction of the target vehicle car tar. According to the driving direction, the front and rear are determined. The information generated by the Beidou satellite, the positioning device and the target vehicle display device is refreshed every sec seconds.

[0007] S1. Obtain the size and position information of each vehicle in the positioning device, and obtain the size and position information of the target vehicle car tar.

[0008] S2. Determine that the vehicle with a speed lower than (v x a%) is a congestion vehicle, and 100 > a > 0. The positioning device determines the size and position of the congestion vehicle.

[0009] S3. The AI generates a departure route ROU for the target vehicle car tar, and the specific generation steps are:

[0010] S31. The AI continuously and randomly generates routes route1, route2, route3, …, and the conditions met by route1, route2, route3, … are: a. The distance disa between the target vehicle car tar and each vehicle is greater than or equal to a constant cona; b. The target vehicle car tar can drive from the current position post to a position in front of the last congestion vehicle in the driving direction.

[0011] S32. The shortest path route sh in route1, route2, route3, … is determined in sequence, and route sh is output as ROU. The congestion area of the vehicle may not completely block the road. If the road is completely blocked, a path is generated to bypass the congestion area from another road. If the road is not completely blocked, a path is generated to drive out of the congestion area from another lane, preventing the target vehicle from driving into the lane of the congestion area without knowing the congestion area.

[0012] Further, the center computer is also used to complete the following steps:

[0013] S4. When ROU cannot be generated after steps S1-S3 are performed on car tar, determine the vehicles car 1, car 2, …, car m installed with the device in the photo range, and perform the same steps as car tar in S3 on car 1, car 2, …, car m to determine the vehicles car`1, car`2, …, car`n that can generate the shortest path.

[0014] S5. Determine the shortest paths route sh`1, route sh`2, …, route sh`n of car`1, car`2, …, car`n, determine the shortest path route sh`min in route sh`1, route sh`2, …, route sh`n and the corresponding vehicle car`min, and send the information of route sh`min to car`min.

[0015] S6. After a period of time T, repeat steps S1-S4 until the target vehicle car tar drives to a position in front of the last congestion vehicle in the driving direction.

[0016] Further, the specific steps of S32 are:

[0017] S321. Generate route1, determine the length L1 of route1, output route1 = route sh;

[0018] S322. In the process of generating route2 in turn, if the length of the generated path is ≥ L1, stop generating path route2, still output route sh output in S321, if the length L2 of the complete route2 is < L1, output route2 = route sh, delete route sh in S321 at the same time;

[0019] …

[0020] S32k. In the process of generating routek in turn, if the length of the generated path is ≥ L(k-1), stop generating path routek, still output route sh output in S32(k-1), if the length Lk of the complete routek is < L(k-1), output routek = route sh, delete route sh in S32(k-1) at the same time, k ∈ {1, 2, …}, every certain time, generate a new path, repeat the comparison of the shortest path in the generated path for the new path, if the new path is greater than or equal to the shortest path in the process of generating the new path, stop generating the new path, if the total length of the generated new path is less than the shortest path, output the new path as route sh, so that the process of AI generating path can be faster.

[0021] Further, in the process of generating path route1, the following condition c is also met: c. When car tar has multiple directions to travel, the preferred direction is forward.

[0022] Further, the way the Beidou satellite discovers road condition abnormalities is:

[0023] A1. Monitor the vehicles within x kilometers in front and behind the road, and generate the average speed v of the vehicles within x kilometers.

[0024] A2. Determine the position of the vehicle whose speed is lower than (v × a%) within x kilometers in front and behind the road, if the distance between y vehicles and adjacent vehicles is less than mil, determine the position of the y vehicles as the traffic abnormal area.

[0025] Further, the x is set to 10, the y is set to 5, and the mil is set to 3 meters.

[0026] Further, the a is set to 10, the sec is set to 1, and the cona is set to 10 cm.

[0027] Further, in step S31, the time interval for AI to generate a random route is 0.1 seconds.

[0028] Further, the time T in step S6 is set to 10 seconds.

[0029] The positive and beneficial technical effects of the present application include: when the vehicle is not in a congested area, a route can be automatically generated to pass through the traffic anomaly area by detouring other roads or from other lanes; by sending a recommended route to other vehicles equipped with the device, the device can also quickly clear the road and alleviate traffic congestion when the target vehicle is in the traffic area; by formulating generation rules, the road can be quickly generated using AI, and the target vehicle can be quickly guided out of the traffic anomaly area; by using Beidou satellite to take photos and measuring the average speed and speed of congested vehicles, the traffic anomaly area can be quickly determined; other beneficial effects of the present application will be further described in conjunction with the specific embodiments below. BRIEF DESCRIPTION OF DRAWINGS

[0030] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following will briefly introduce the drawings needed to be used in the embodiments. It should be understood that the following drawings only show some embodiments of the present application, and therefore should not be regarded as a limitation on the scope. For those skilled in the art, other related drawings can also be obtained without creative labor on the basis of these drawings.

[0031] Figure 1 The information flow chart of the device is shown in Figure 1.

[0032] Figure 2 The operation flow chart of the central computer of the device is shown in Figure 2.

[0033] Icon:

[0034] 1-Beidou satellite; 2-positioning device; 3-target vehicle display device; 4-central computer. DETAILED DESCRIPTION

[0035] Embodiment 1: A traffic anomaly site pre-avoidance device based on Beidou, comprising a Beidou satellite 1, a positioning device 2, a target vehicle display device 3, a central computer 4, a display device and a power supply device.

[0036] The Beidou satellite 1 is used to monitor the road and generate map information. If an abnormal road condition is found, a photo of the abnormal place is taken, and the average speed v of the vehicles in the range of the photo is determined. The range of the photo can be set to 1 kilometer of road, 5 kilometers of road, 10 kilometers of road, etc. according to actual needs. The positioning device 2 is used to determine the size and position of each vehicle in the photo. The target vehicle display device 3 is used to display the size, position post, and driving direction of the target vehicle car tar. The front and rear are determined according to the driving direction. The information generated by the Beidou satellite 1, the positioning device 2, and the target vehicle display device 3 is refreshed every sec seconds. The central computer 4 is used to perform the following operations:

[0037] S1. Obtain the size and position information of each vehicle in the positioning device 2, and obtain the size and position information of the target vehicle car tar.

[0038] S2. Determine that the vehicle with a speed lower than (v x a%) is a congested vehicle, and 100 ≥ a ≥ 0. The positioning device 2 determines the size and position of the congested vehicle.

[0039] S3. Generate the driving-off route ROU of the target vehicle car tar by AI. The specific generation steps are as follows:

[0040] S31. AI continuously and randomly generates routes route1, route2, route3, …, which all satisfy the following conditions: a. The distance disa between the target vehicle car tar and each vehicle is greater than or equal to a constant cona; b. The target vehicle car tar can drive from the current position post to a position in front of the last congested vehicle in the driving direction.

[0041] S32. Determine the shortest path route sh in route1, route2, route3, … in sequence, and output routesh. routesh = ROU. The congestion area of the vehicle may not completely block the road. If the road is completely blocked, a path is generated that bypasses the congestion area from another road. If the road is not completely blocked, a path is generated that drives off the congestion area from another lane, preventing the target vehicle from driving into the lane of the congestion area without knowing the congestion area.

[0042] In this embodiment, the central computer 4 is also used to complete the following steps:

[0043] S4. When the ROU cannot be generated after the steps S1-S3 are performed on the car tar, the vehicles car 1, car 2, …, car m installed in the photo range are determined, and the same steps as in S3 are performed on the car 1, car 2, …, car m respectively to determine the vehicles car`1, car`2, …, car`n that can generate the shortest path in the car 1, car 2, …, car m;

[0044] S5. The shortest paths route sh`1, route sh`2, …, route sh`n of the car`1, car`2, …, car`n are determined, the value route sh`min of the shortest path in the route sh`1, route sh`2, …, route sh`n and the corresponding vehicle car`min are determined, and the information of the route sh`min is sent to the car`min;

[0045] S6. After the time T, the steps S1-S4 are repeated until the car tar drives to the position in front of the last congestion vehicle in the driving direction.

[0046] In the embodiment, the specific steps of the step S32 are:

[0047] S321. Generate route1, determine the length L1 of the route1, and output route1=route sh;

[0048] S322. In the process of generating route2 in sequence, if the length of the generated path is ≥L1, stop generating the path route2, and still output the route sh output in S321, if the length L2 of the complete route2 is <L1, output route2=route sh, and delete the route sh in S321;

[0049] …

[0050] S32k. In the process of generating routek in sequence, if the length of the generated path is greater than or equal to L(k-1), stop generating the path routek, and still output the route sh output in S32(k-1); if the length Lk of the complete routek is less than L(k-1), output routek=route sh, and delete route sh in S32(k-1) at the same time, k∈{1,2……}, every certain time, a new path is generated, and the shortest path in the generated path is compared repeatedly for the new path, if the new path is greater than or equal to the shortest path in the process of generating the new path, stop generating the new path, if the total length of the generated new path is less than the shortest path, output the new path as route sh, so that the process of generating the path by AI can be faster.

[0051] In the embodiment, in the process of generating the path route1, the following condition is also met: c. when there are multiple directions in which car tar can travel, the preferred direction is the front direction.

[0052] In the embodiment, the way in which the Beidou satellite 1 discovers the abnormal road condition is:

[0053] A1. Monitor the vehicles within x kilometers in front of and behind the road, and generate the average vehicle speed v of the vehicles within x kilometers.

[0054] A2. Determine the positions of the vehicles whose speed is lower than (v×a%) within x kilometers in front of and behind the road, if the distance between y vehicles and adjacent vehicles is less than mil, determine the position of the y vehicles as the traffic abnormal area.

[0055] In the embodiment, x is set to 10, y is set to 5, and mil is set to 3 meters.

[0056] In the embodiment, a is set to 10, sec is set to 1, and cona is set to 10 cm.

[0057] In the embodiment, in step S31, the time interval for AI to generate a random route is 0.1 seconds.

[0058] In the embodiment, the time T in step S6 is set to 10 seconds.

[0059] Finally, it should be pointed out that the above embodiments are only used to illustrate the technical solutions of the present application and are not limiting. Although the present application has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present application can be modified or replaced equivalently without departing from the purpose and scope of the technical solutions of the present application, and they should be covered in the scope of the claims of the present application.

Claims

1. A traffic anomaly site avoidance device based on BeiDou, characterized in that: This includes BeiDou satellites, positioning devices, target vehicle display devices, central computers, display devices, and power supply devices; The Beidou satellite is used to monitor roads and generate map information. If abnormal road conditions are detected, photos of the abnormal areas are taken and the average speed v of vehicles within the photo range is determined. The positioning device is used to determine the size and position of each vehicle in the photo; the target vehicle display device is used to display the size, position, and direction of travel of the target vehicle's car image; the information generated by the BeiDou satellite, the positioning device, and the target vehicle display device is refreshed every sec; the central computer is used to perform the following calculations: S1. Obtain the size and location information of each vehicle in the positioning device, and obtain the size and location information of the target vehicle; S2. Vehicles with a speed lower than (v×a%) are identified as congested vehicles, 100≥a≥0. The positioning device determines the size and location of the congested vehicles. S3. Generate the departure route (ROU) of the target vehicle (car tar) using AI. The specific generation steps are as follows: S31. AI continuously and randomly generates routes route1, route2, route3..., where route1, route2, route3... all satisfy the following condition: a. The distance between the target vehicle car tar and each vehicle disa ≥ cona, where cona is a constant; b. The target vehicle (car tar) can travel from its current position to the position in front of the last congested vehicle in its direction of travel; S32. Determine the shortest path sh in route1, route2, route3... in sequence, and output route sh, where route sh = ROU; S4. If ROU cannot be generated after performing steps S1-S3 on car tar, determine the vehicles car1, car2...carm within the photo range where this device is installed, and perform the same steps as in S3 on car1, car2...carm respectively to determine the vehicles car`1, car`2...car`n that can generate the shortest path; S5. Determine the shortest paths route sh`1, route sh`2, ..., route sh`n for car`1, car`2, ..., car`n; determine the shortest path value route sh`min and the corresponding vehicle car`min in route sh`1, route sh`2, ..., route sh`n; and send the route sh`min information to car`min. S6. After time T, repeat steps S1-S4 until the car tar reaches the position in front of the last congested vehicle in the direction of travel.

2. The traffic anomaly site avoidance device based on BeiDou as described in claim 1, characterized in that: The specific steps of step S32 are as follows: S321. Generate route1, determine the length L1 of route1, and output route1 = route sh; S322. During the process of generating route2, if the length of the generated path is greater than or equal to L1, then stop generating route2 and still output route sh as output in S321. If the length of the generated complete route2 is less than L1, then output route2 = route sh and delete route sh in S321. …… During the generation of routek in S32k, if the length of the generated path is greater than or equal to L(k-1), then the generation of routek stops, and route sh output in S32(k-1) is still output. If the length of the generated routek is less than L(k-1), then routek = route sh is output, and route sh in S32(k-1) is deleted. k∈{1,2……}.

3. The BeiDou-based traffic anomaly site avoidance device as described in claim 2, characterized in that: During the generation of route1, the following condition must also be met: c. When a car has multiple directions to travel in, the direction that takes priority is the direction forward.

4. The BeiDou-based traffic anomaly site avoidance device as described in claim 3, characterized in that: The BeiDou satellite detects abnormal road conditions in the following way: A1. Monitor vehicles within x kilometers before and after the road and generate the average vehicle speed v within the x-kilometer range; A2. Determine the location of vehicles with a speed lower than (v×a%) within x kilometers before and after the road. If the distance between y vehicles and more than y adjacent vehicles is less than mil, then the location of y vehicles is determined as a traffic anomaly area.

5. The BeiDou-based traffic anomaly site avoidance device as described in claim 4, characterized in that: The x is set to 10, the y is set to 5, and the mil is set to 3 meters.

6. The traffic anomaly site avoidance device based on BeiDou as described in claim 5, characterized in that: The value of 'a' is set to 10, the value of 'sec' is set to 1, and the value of 'cona' is set to 10cm.

7. The BeiDou-based traffic anomaly site avoidance device as described in claim 6, characterized in that: In step S31, the time interval for the AI ​​to generate random routes is 0.1 seconds.

8. The traffic anomaly site avoidance device based on BeiDou as described in claim 7, characterized in that: In step S6, the time T is set to 10 seconds.

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