Analysis Of Pedestrian-vehicle Mixed Traffic Flow At Un-signalized Crosswalks: From Behavioral Perspective

Pedestrian-vehicle conflict problem is one of the main focuses of researchers in the urban traffic field,since it causes serious safety problems and the reduction of traffic efficiency.They investigated this problem by analyzing individual micro-behavior and system macro-behavior.However,they did not consider pedestrians or motorists as adaptive individuals,and did not investigate this problem from the perspective of the theory of complex adaptive system.Thus,this study aims to analyze the adaptive behavior of individuals and its influence on pedestrian-vehicle mixed traffic.(1)Pedestrian behaviors are compared under two unsafe road-crossing situations to explore whether pedestrians have behavioral consistency across situations.To explore the causes of this behavioral consistency,questionnaires are designed based on the theory of planned behavior and the theory of behavioral consistency.Over sixty percent of pedestrians show behavioral consistency across two study situations and this consistency is well explained by our model.This study analyzes pedestrian behavior from a more systemic and macroscopic perspective.(2)The heterogeneity of pedestrian behavior is considered and a cellular automaton(CA)based pedestrian-vehicle simulation model is established.Power laws are observed in the cluster sizes of group-crossing pedestrians,which has not been observed before.Meanwhile,pedestrian heterogeneity eases the traffic jam.(3)An empirical study about the power-laws observed in the previous work(2)is conducted.Empirical data and a rigorous statistical method is used.Power-laws are confirmed by the data.Then,the causes of power laws are explored from the behavioral perspective using a simulation model.It indicates that pedestrians and vehicles self-organizes to a critical situation and power laws appear.This is a new perspective to study pedestrian-vehicle mixed traffic.(4)Empirical traffic delay of pedestrians and vehicles are analyzed.It shows power-law phenomena,too.Thus,mean traffic delay is not always a typical measure of traffic efficiency.Then,a simulation study is conducted.The waiting position of pedestrians and their risky road-crossing behavior show negative impact on the traffic delay.