Vehicle moving direction judgment method, device and equipment and storage medium

Abstract

The invention provides a vehicle moving direction judgment method, device and equipment and a storage medium. The method comprises the steps that the current track point and at least one historical track point of the current vehicle are acquired; the road section matching characteristics corresponding to the historical track points are obtained based on the track information of each historical track point; the obtained road section matching characteristics corresponding to each point are inputted to a road section matching model to perform road section matching processing so as to obtain the target matching road section corresponding to the historical track points; each historical track point is mapped to the target matching road section corresponding to the historical track points so as to obtain the target matching points corresponding to the historical track points; and the moving direction of the current vehicle is determined based on the current track point and the target matchingpoints corresponding to the historical track points adjacent to the current track point. The moving direction of the vehicle can be rapidly and accurately judged.

Description

technical field [0001] The application belongs to the technical field of intelligent transportation, and specifically relates to a method, device, equipment and storage medium for judging the moving direction of a vehicle. Background technique [0002] Global Positioning System (Global Positioning System, GPS) is a system that uses GPS positioning satellites to perform real-time positioning and navigation around the world, because GPS can provide functions such as positioning, anti-theft, anti-robbery, driving route monitoring, and call command. So its application in real life is more and more extensive. [0003] The existing technology usually matches the track points of GPS to the actual road network, and analyzes and mines the data based on this, such as judging the moving track of the vehicle, the moving direction of the vehicle, etc. However, most of the data that the existing position point matching algorithm relies on is massive road static latitude and longitude dat...

AI Technical Summary

Problems solved by technology

However, the existing position point matching algorithm relies on massive road static latitude and longitude data, and the traditional stand-alone mode is used to run the data matching work efficiently, which takes a long time and requires high manpower maintenance costs.

In addition, due to inaccurate GPS position reporting, or poor network, GPS has not reported for a period of time, etc., resulting in many low-frequency sampling points for position information, and the formed trajectory has a very obvious deviation from the actual road, making it impossible to quickly and accurately determine the location of the vehicle. direction of movement

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