Driving risk field modeling and the influencing factors analysis for intelligent connected vehicle

Intelligent connected vehicle (ICV) is an important application area of artificial intelligence and has received more and more attention. In the current autonomous development of intelligent driving, it is a key and hot issue to improve the driving safety and autonomous decision-making ability of ICV under dynamic traffic flow. The existing driving safety theory mainly considers the vehicle's attributes, which cannot reflect the influence of traffic elements, and driver's behavior on driving safety. Based on the field theory, a driving risk field model considering traffic elements, vehicle state and driver behavior under dynamic traffic flow is established, and the influencing factors of each parameter in the driving risk field model are analyzed. The results of the study can provide an important theoretical basis for ICV autonomous driving decision-making.