Driver-vehicle association processing method and device

Abstract

The embodiment of the invention discloses a driver-vehicle association processing method and device. The method comprises the following steps that: the first positioning information of each mobile terminal on a road surface and the second positioning information of each intersection are obtained, inter-object distances between the mobile terminals are calculated; clustering analysis is carried outon the inter-object distances, so that a plurality of mobile terminal classes can be obtained, and driver terminals in the mobile terminal classes are determined; the driving tracks of vehicles are generated according to the second positioning information and the first positioning information of each driver terminal; and the license plate information of each vehicle shot at each intersection is acquired, and the vehicles with the license plate information are associated on the basis of the driving tracks, so that driver-vehicle association is completed. According to the method and device, evidence acquisition is facilitated through the first positioning information; the driver terminals are recognized through clustering analysis; the intelligent analysis of the behaviors of the vehicles is achieved; judgment on suspicious vehicles, black operation vehicles and the like is completed; and matching is performed on the license plate information of each vehicle shot at each intersection, the driving tracks of the vehicles are applied, and therefore, accurate matching can be achieved, and accurate driver-vehicle association is realized.

Description

technical field [0001] Embodiments of the present invention relate to the field of communication technologies, and in particular to a method and device for processing human-vehicle association. Background technique [0002] At present, the effective integrated application of IT technology, intelligent video technology, information technology, sensor technology and computer technology has greatly improved the efficiency of operation management, service, charging and monitoring. For operators with a large amount of user data, how to identify and mine data information, assist traffic control departments to combat illegal operations, ensure people's travel safety, ensure the orderly operation of the market, and provide users with safety advice on using operating vehicles is its embodiment. The inevitable demand of social responsibility. With the development of mobile communication technology and the rapid increase in the number of mobile phone users, there may be multiple mobil...

AI Technical Summary

Problems solved by technology

[0004] However, the mobile phone location information in the existing person-vehicle association method is only the cell information, not the precise user location. It can only track the specific license plate and associate the person when the license plate is known to be tracked. It is passive and cannot be realized. Under the background of big data, intelligently analyze vehicle behavior, identify suspicious vehicles, black operation vehicles, etc., and realize the purpose of active discovery and on-site evidence collection

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