Research on accompanying cars recognition in practical application

In massive dynamic traffic flows, it is very common to see the cars moving in a queue. In some scenarios, these cars are regarded as accompanying cars and suspected of gang crime support each other when that condition occurs in a high rate. It is very important to identify the accompanying vehicles as early as possible and to reduce potential risks of road traffic system and to reduce road-related public security cases and criminal cases. Based on the automatic license plate recognition database and data mining technology, this paper proposes a set of algorithms in identifying accompanying cars and a field test is conducted. The results demonstrate the performance of the algorithm with effectiveness, low detection error, wide application and capability for further investigation.