Directional fake-licensed car detection method based on vast traffic data statistics

Abstract

The invention discloses a directional fake-licensed car detection method based on vast traffic data statistics. The method comprises the following steps of: step 1, arranging an initial time t0, delimiting a time range T1, counting all bayonet driving data in the time range (t0-T1, t0) according to a license number, counting the appearance times of each license number, and sorting the license numbers according to the appearance times in a decreasing manner; step 2, collecting top N license numbers sorted in a decreasing manner according to the appearance times of the license numbers; step 3, inquiring all data record of the N license numbers from the bayonet driving data in the time range (t0-T1, t0); and step 4, judging a track formed by a vehicle according to a bayonet data record set corresponding to the license number and a vehicle driving time and a bayonet site of the bayonet driving data record, and when the track is unreasonable, determining that the vehicle is a fake-licensed car, and otherwise, determining that the vehicle is not a fake-licensed car.

Description

technical field [0001] The invention belongs to the field of vehicle detection with false license plates, and in particular relates to a detection method for directional vehicle with false license plates based on massive traffic data statistics. Background technique [0002] A license plate vehicle refers to a vehicle that does not use a license plate handled by the corresponding traffic management department in accordance with the law, but hangs a forged or embezzled license plate on the road. Applying another person's license plate is a traffic violation that violates the legal rights of others and poses a great safety hazard to the society. With the rapid development of our country's social economy, the number of automobiles in our country has increased rapidly. In various criminal cases, the cases of using automobiles as a means of transportation have also increased sharply. The use of decks and false cards as a common means for criminals to evade public security organs...

AI Technical Summary

Problems solved by technology

However, this analysis method still looks at the problem from a microscopic perspective. In the case of massive data, the amount of calculation must increase several times with the increase of data. Not only is the calculation complicated, but it is also difficult to guarantee real-time performance.

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