Crossroad Accident Responsibility Prediction Based on a Multi-agent System

Abstract

With the increasing number of motorized vehicles, road accidents are increasing year by year all over the world.. After an accident, the police investigate the circumstances of the incident and determine each actor’s responsibilities. Our goal is to create a police support system. We focused on a multi-agent system that predicts each actor’s responsibility in a road accident (especially crossroad accidents). The system uses the driving recorder video of a vehicle as the input data source, and it outputs the prediction of the responsibility of each actor in the accident. It consists of three agents: (1) Crash time detection and crash video split into images; (2) Traffic signs detection in the crash video; (3) Responsibility prediction using a knowledge system.