Research on active collision avoidance strategy of autonomous vehicles based on risk assessment

With the continuous increase of car ownership in our country, road traffic safety has become a social issue that cannot be ignored today. Pedestrians and cyclists, as vulnerable road users, are often more prone to accidents when traffic accidents occur. Therefore, smart car active collision avoidance technology for vulnerable road users has become a current research hotspot. Therefore, this article mainly studies autonomous vehicle collision avoidance strategies for pedestrians. First, a vehicle collision risk assessment model is constructed based on pedestrian trajectory prediction. Secondly, determine the active collision avoidance strategy of autonomous vehicles based on the collision safety distance between humans and vehicles based on the risk assessment model. Finally, SUMO, Unity, and Python software were used to build a joint simulation platform to study the feasibility and safety of the research strategy in this article.