Implementation of Driving Safety Early Warning System Based on Trajectory Prediction on the Internet of Vehicles Environment

Abstract

Traffic accidents cause a large number of casualties and economic losses every year. The primary causes of traffic accidents are the inadvertent response and inappropriate disposal of drivers. The Internet of Vehicles system is a large network based on intranets, the Internet, and mobile Internet. It performs wireless communication and information exchange between vehicles and roadways in accordance with the agreed-upon communication protocol and data exchange standards. It provides technical assistance in the implementation of vehicle hazard detection and opens up new avenues for safety early warning. In this study, a driving safety early warning system is proposed based on trajectory prediction on the Internet of Vehicles environment. After analyzing the system requirements, the driving safety system based on trajectory prediction is designed according to the demand analysis and tested. The trajectory prediction error is detected, and the collected trajectory is predicted. Data are divided into 3 groups, and to validate the performance of the system, the experiment is repeated five times. The test results show that the trajectory prediction accuracy of the trajectory prediction system designed is 89.4%, as compared to the accuracy of existing driving safety early warning systems, most of which are concentrated at accuracy lower than 89%. The proposed early warning method has the potential to reduce vehicle collisions and road traffic accidents.