Vehicle trajectory prediction algorithm based on mobility characteristics in vehicular ad hoc networks

For intelligent transportation system (ITS), accurate, real-time and reliable vehicle trajectory prediction has become a hot research topic in the mobile object database. Accurate and reliable vehicle trajectory prediction can improve traffic safety and effectively promote urban road planning. Because vehicle motion is susceptible to environmental changes and user behavior, it is difficult to accurately predict its trajectory. Aiming at the low accuracy of vehicle trajectory prediction and the lack of real-time prediction, this paper proposes a new trajectory prediction method TPMC (Vehicle trajectory prediction algorithm based on mobility characteristics, TPMC). This algorithm is mainly applied to vehicle trajectory prediction under short distance. Based on the historical trajectory, the vehicle movement characteristics are analyzed, and then the appropriate vehicle movement model is designed to obtain the vehicle movement trajectory in the future. On this basis, the vehicle moving position and distance information are determined. The results of simulation indicate that the proposed method has a high prediction accuracy with less time overhead compared with other existing prediction methods. © 2019 Computer Society of the Republic of China. All rights reserved.