Vehicle trajectory deviation detection method, system and storage medium

Abstract

The invention discloses a vehicle trajectory deviation detection method, a system, and a storage medium. The method comprises the following steps: extracting a starting point, an ending point and a turning point from a GPS data set of a driving route as key positions; performing trajectory matching in a historical trajectory data set and / or a planned trajectory data set obtained from an online mapservice according to the coordinates of the plurality of key positions; when historical trajectory data or planned trajectory data is matched, storing trajectories described by the plurality of key positions into a historical trajectory data set; and when the historical trajectory data or the planned trajectory data is not matched, judging that the driving route deviates from the trajectory. Keypoints are extracted from a GPS data set, so that the number of coordinate points for path matching is reduced, and resources occupied by storage and operation can be reduced; useless details can be shielded, and the matching precision is prevented from being affected by a large number of tiny errors. The method can be widely applied to the field of big data.

Description

technical field [0001] The invention relates to the field of big data, in particular to a vehicle track deviation detection method, system and storage medium. Background technique [0002] With the development of the Internet, online car-hailing has become a choice for many people to travel. However, illegal activities related to online car-hailing have occurred from time to time. In order to restrict the driving behavior of online car-hailing drivers, a large number of online car-hailing monitoring methods have been proposed. These detection methods include identity monitoring and route monitoring. [0003] Wherein, the route monitoring usually utilizes GPS data for detection, and its principle is to realize the detection of deviation from the route by comparing the difference between the planned route and the actual driving route. However, in the existing technology, a large number of GPS coordinate points are often collected to describe the route. On the one hand, it w...

AI Technical Summary

Problems solved by technology

However, in the existing technology, a large number of GPS coordinate points are often collected to describe the route. On the one hand, it will increase the amount of data, occupy storage and computing resources, etc.; Lane changes, slight turns, etc. Therefore, using a large number of GPS coordinate points to describe the route will introduce too many subtle errors, resulting in reduced matching accuracy

Images