Multi-dimensional Safety of Intelligent and Connected Vehicles for Future Traffic Scenarios

Abstract

The multi-dimensional safety of intelligent and connected vehicles (ICV) refers to the comprehensive safety characteristics integrating the requirements of the safety of functions, the safety of human–computer interaction, the security of information and communication, and space–time safety. It is the essential condition to implement the application of ICV. This paper discusses and analyzes the safety of ICV for future traffic scenarios. Firstly, as the basic guarantee for the safe operation of vehicles, the perception and decision-making and control functions of ICV are still unable to help to obtain high-quality perception data, high-speed reliable decision-making and accurate execution and control, and a series of problems. Moreover, the diversity of human–computer interaction brings greater challenges to the safety protection of occupant and vulnerable road users. In addition, information and communication security become more important in future intelligent cooperative transportation system. Furthermore, the diversification of spatiotemporal scenarios brings complex and changeable risks and challenges. By summarizing the multi-dimensional risk and safety problems that ICV may face in advance, the research results of this paper provide insightful references for the new concept design of ICV and future traffic safety management.