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摘要
Route patterns prediction in Vehicular Ad-hoc Network (VANET) has been receiving increasing attention due to the enabling of on-demand, intelligent traffic analysis and real time responses to traffic issues. Sequential patterns describe the occurrence of events in a timely and ordered fashion. In VANET, these events are defined as an ordered list of road segments traversed by vehicles from a starting point to final intended destination. The data collection scheme based on secure authentication to collect the data from the vehicles is proposed in the paper. The collected data is stored at Road Side Units (RSU). From these collected routs, the common and frequent routes opted by the vehicles in a certain region are determined by using data mining approach. The proposed data collection scheme is compared with INSA and the results show that the proposed scheme has better performances than INSA in communication overhead, throughput and packet delivery ratio. An estimation model is used to decide the next route opted by the vehicles in unusual situations. The proposed scheme will help users in reducing the waiting time in emergency situations and normal conditions. ? 2020, Editorial Department of Journal of Beijing Jiaotong University. All right reserved.
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