title: Cellular automata modeling of pedestrian's crossing dynamics.
abstract: Cellular automata modeling techniques and the characteristics of mixed traffic flow were used to derive the 2-dimensional model presented here for simulation of pedestrian's crossing dynamics. A conception of "stop point" is introduced to deal with traffic obstacles and resolve conflicts among pedestrians or between pedestrians and the other vehicles on the crosswalk. The model can be easily extended, is very efficient for simulation of pedestrian's crossing dynamics, can be integrated into traffic simulation software, and has been proved feasible by simulation experiments.
authors.affiliation: Institute of Industry Process Control, Zhejiang University, Hangzhou 310027, China. jinzhang@iipc.zju.edu.cn
authors.forename: Jin
authors.initials: J
authors.lastname: Zhang
authors.forename: Hui
authors.initials: H
authors.lastname: Wang
authors.forename: Ping
authors.initials: P
authors.lastname: Li
mesh_terms: D000063:Accidents, Traffic / Q000517:prevention & control*; D000465:Algorithms; D001185:Artificial Intelligence; D032701:Biomimetics / Q000379:methods; D002468:Cell Physiological Phenomena; D003198:Computer Simulation; D003657:Decision Making / Q000502:physiology*; D008124:Locomotion / Q000502:physiology*; D008954:Models, Biological; D018986:Motor Vehicles; D017711:Nonlinear Dynamics