A system and method for identifying a driver of a vehicle by a trajectory association degree

Abstract

The invention discloses a system for identifying a vehicle driver through track association degree. The system comprises a time sequence track acquisition module, a data cleaning module and a track association degree calculation module. The time sequence track acquisition module is used for acquiring time sequence track data comprising the vehicle driving track and the behavior track of the driverand forming a track database. The data cleaning module is used for processing and integrating data including vehicle information and driver information and after classifying and matching the collected track data, performing track restoration by combining time and space dimensions, determining and dividing dimension intervals according to business requirements, and respectively forming a three-dimensional resonance image taking the vehicle track scene and the behavior track, time and space of the driver as three elements. And the track correlation degree calculation module is used for comparing the vehicle track with the behavior track of the driver according to the determined dimension interval, setting a resonance threshold value according to business requirements, setting a group exceeding the threshold value as a group with high track matching degree, and determining the current driver of the vehicle from the group.

Description

technical field [0001] The invention belongs to the technical field of traffic big data, and in particular relates to a system and method for identifying vehicle drivers through trajectory correlation. Background technique [0002] The rapid expansion of the city has brought about the rapid expansion of the urban population, followed by traffic jams caused by vehicles and frequent traffic accidents, which have increased the cost of maintaining urban road order. In the handling of vehicle accidents, quickly determining the driver information of the accident vehicle is a very important link for improving the efficiency of subsequent accident handling events and reducing law enforcement costs. [0003] At the same time, with the rapid development of positioning technology and the improvement of road monitoring systems, it is feasible to establish an analysis system for vehicle behavior in terms of improving urban traffic flow and quickly locating drivers at the time. Because i...

AI Technical Summary

Problems solved by technology

[0002] The rapid expansion of the city has brought about the rapid expansion of the urban population, followed by traffic congestion and frequent traffic accidents caused by vehicles, increasing the cost of maintaining urban road order

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