Pedestrian movement intention identification model in mixed pedestrian-bicycle sections based on phase-field coupling theory

Abstract

Pedestrian is an important factor for traffic safety and capacity in the sections mixed with bicycle. It is important for improving active safety to implement timely pedestrian safety warning under the condition of Internet of pedestrian and bicycle. The mutual influence of pedestrian and its surrounding traffic participants in mixed pedestrian-bicycle sections was comprehensively analyzed, and the phase of pedestrian-bicycle traffic was partitioned and reduced on the basis of previous researches and phase-field coupling theory. Fuzzy logic method was used to build the pedestrian movement intention identification model. The pedestrian safety and the satisfaction for walking speed and space were synthetically considered in this model. The experimental verifications show that the result of pedestrian movement intention identification model is consistent with the actual situation, and this study can provide theoretical support for the realization of the pedestrian active safety under the condition of Internet of Things.