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Algorithm for restoring wheel path based on road attributes and real-time road conditions

A technology of driving trajectory and real-time road conditions, applied in traffic control systems, instruments, traffic control systems of road vehicles, etc., can solve problems such as difficult to determine and restore the actual driving trajectory

Active Publication Date: 2013-08-21
TONGJI UNIV
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In general, in a road network with complex topological relationships, all paths between any two points are a huge set, and it is difficult to determine and restore the actual trajectory of driving

Method used

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  • Algorithm for restoring wheel path based on road attributes and real-time road conditions
  • Algorithm for restoring wheel path based on road attributes and real-time road conditions
  • Algorithm for restoring wheel path based on road attributes and real-time road conditions

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Embodiment Construction

[0025] The technical solution of the present invention will be further described below in conjunction with the accompanying drawings.

[0026] Roads in cities generally have a maximum speed limit. For example, it is stipulated in relevant laws and regulations: Motor vehicles on roads without speed limit signs and markings, if there is only one motor vehicle lane in the same direction, the maximum speed is 70 kilometers per hour. . We believe here that under normal circumstances, there is a 20% margin for the maximum speed limit, and we believe that the speed limit is The road section can have a maximum speed , if the distance passing through road A in a route is D Km, and the highest driving speed on road A is KM / H, then the shortest time the vehicle spends on road A is . According to the maximum speed limit of each road passed on the route and the distance traveled by the route on this road, the minimum time if the vehicle travels on this route can be calculated. Fir...

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Abstract

The invention relates to an algorithm for restoring a wheel path based on road attributes and real-time road conditions, wherein the algorithm is applied in the field of traffic control. The algorithm for restoring the wheel path based on the road attributes and the real-time road conditions comprises the steps: confirming positions of a starting point and an ending point in a road network, wherein the restoring of the wheel path needs to be conducted on the starting point and the ending point, confirming the time when a vehicle is located at the starting point and the ending point, calculating a time difference Tmax, calculating all possible paths and used time of the possible paths, and finally, calculating grades of each path in a quantitative mode by being combined with actual used time of the vehicle to select the path with the highest grade as a correct path. In the network with a complex topological relation, the problem that the actual wheel path is difficult to confirm and restore is solved.

Description

technical field [0001] The invention relates to a driving trajectory restoration algorithm, which is applied to the field of traffic supervision. Background technique [0002] With the development of the traffic supervision system, many intersections in the city have cameras to take pictures of the vehicles, and the vehicles passing the intersection are identified and stored in the corresponding database. But not all intersections have cameras, and even if there are cameras, the current image processing technology cannot guarantee that all vehicles can be fully recognized. So there will be such a situation: between two intersections where the camera can identify the vehicle, there is not only one possibility for the vehicle's driving trajectory. In general, in a road network with complex topological relations, all paths between any two points are a huge set, and it is difficult to determine and restore the actual trajectory of driving. Contents of the invention [0003] ...

Claims

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Application Information

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IPC IPC(8): G08G1/123
Inventor 蒋昌俊张亚英陈闳中闫春钢丁志军刘鹏曦
Owner TONGJI UNIV
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