Modelling and Analysis for Interactive Crossing Decision of Pedestrian at Non-signalized Intersection

With the development of autonomous driving technology, verifying the system by a simulator is an essential process, and pedestrians' behavior is a particularly important factor in the process. To express the pedestrians' behavior, this paper proposes the model of pedestrians' crossing decisions for a non-signalized intersection, where pedestrian fatalities are the most frequent environment in Japan. This crossing decision, whether to go through a crosswalk or to wait for a vehicle, is an interactive factor that is influenced by other traffic participants. For this reason, we developed a multi-player interactive simulator, in which vehicles and pedestrians can be controlled by the humans. This simulator makes it easy to measure the crossing decision data that takes into account the differences in individual characteristics. Besides, the decision model was constructed for this simulation data, and multi-class logistic regression was used as the model to express human decision ambiguity. The individual decision characteristics were analyzed by the logistic regression model in two- and three-person interactive situations. Finally, to evaluate the performance and decision characteristics of the model, simulation experiments were conducted for 15 groups.