Hybrid traffic flow motion behavior modeling method based on inference graph

Abstract

The disclosed relates to a hybrid traffic flow motion behavior modeling method based on an inference graph, wherein the method comprises: obtaining scene information, representing all traffic participants in the scene as vertices, and using directed edges to represent interaction relationships among traffic participants, so as to obtain the interaction graph; obtaining all possible interaction situations according to the interaction graph; based on each possible interaction situation, estimating the trajectory of each traffic participant in the interaction situation, and judging whether the trajectory conforms to a preset empirical decision-making criteria, so as to judge rationality of the interaction situation; and judging the rationality of all possible interaction situations obtained in the interaction situation generation step in turn until an interaction situation satisfying the rationality is found, and taking a trajectory of each traffic participant corresponding to the interaction situation as a final execution trajectory.