Estimation of illegal crossing accident risk using stochastic petri nets

Pedestrian illegal crossing is strongly related to the risk of accident, due to disobedience of signal control and dedicated crossing space. The study on the pedestrian illegal crossing and accident risk normally focuses on either spatial or temporal crossing violation behavior. Thus, this paper attempts to fill the gap by analyzing accident risk of the combination illegal crossing of pedestrians, which is seldom explored. The risk of illegal crossing behavior of pedestrians at signalized intersections is modeled based on the crossing scenario observed in the study locations. Pedestrian crossing scenario captured from video provides information related to behavioral pattern, and accident event sequence valuable for the model development using Petri Nets. The combined effects of spatial and temporal illegal crossing on their crossing risk were analyzed using the steady state analysis built in this model. The results show that the risk of the temporal illegal behavior has greater effect on pedestrian safety compared to the spatial illegal behavior. Escalating pedestrian volume tends to increase the risk of the illegal crossing behavior at the signalized intersection