Automatic area acquisition method for fake-licensed vehicles

Abstract

The invention relates to the field of an intelligent traffic technology, and discloses an automatic area acquisition method for fake-licensed vehicles. The method comprises the steps of setting monitory points at a closed zone boundary, acquiring the vehicle passing information of the vehicles which pass over the monitory points, and judging whether the vehicles drive out or drive in the zone according to the vehicle passing information, so as to judge whether the vehicles are fake-licensed vehicles; the essential principle of the method is that if a vehicle does not drive in some road zone, but drive out the road zone, the vehicle is a suspected fake-licensed vehicle; by adopting the vehicle passing information determinate method which adopts the closed zone boundary, and the driving path of the vehicle on the roads in the zone is not needed to be monitored, so that the monitoring flow of the fake-licensed vehicles can be greatly simplified; and according to the method, the handling capacity of background data is low, the acquisition probability of the suspected fake-licensed vehicles can be greatly improved, and the omnibearing fake-licensed vehicle acquisition can be realized in space and in time.

Description

technical field [0001] The invention relates to the technical field of intelligent transportation, in particular to a method for automatically capturing areas of vehicles with license plates. Background technique [0002] A licensed vehicle refers to an illegal vehicle that uses a fake license plate with the same number on other vehicles by referring to the model and color of the genuine licensed vehicle. The appearance of deck car seriously affects road traffic safety. It has brought greater harm to vehicle management and traffic accident evidence collection. In recent years, in grass-roots road traffic management work, false military (civilian) plates, intentionally covering number plates, altering number plates, and altering number plates have occurred from time to time. A special campaign to crack down on decked vehicles was carried out, but after each campaign, similar phenomena appeared again, and the tricks were refurbished, emerging one after another. [0003] Th...

AI Technical Summary

Problems solved by technology

The technical problem of this method is: the acquisition of vehicle data needs to be obtained according to a certain time sequence, and then the data will be paired with gridded data to generate sequence grid trajectory, which is difficult to achieve in actual judgment , because some license plate vehicles are likely to enter the grid area at a certain point of time to stay, and the license plate number may be changed during the stay. Therefore, the time series cannot be continuous, and thus it is impossible to realize the Grid trajectory monitoring, so there is a possibility of missed judgment

Furthermore, the division of the grid is more complicated, combined with the combination of time series, the amount of background data processing in this way is very huge, and the judgment efficiency is low

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