Citation

Li X, Qin W. Procedia Eng. 2012; 29: 2887-2893.

Copyright

(Copyright © 2012, Elsevier Publishing)

DOI

10.1016/j.proeng.2012.01.409

PMID

unavailable

Abstract

A crowd behavior model based on reciprocal velocity obstacle algorithm is proposed in this paper. The model is the combination autonomous navigation and crowd behavior strategy module. Reciprocal Velocity Obstacle algorithm is adopted to achieve global path planning. individuals act quite differently under various circumstances, and several behavior strategies are applied in crowd simulation on the basis of social theory: in normal condition people show their humility confronting interaction, therefore they queue up with the application of stop rules; while in emergency circumstances, competition feature appears during inter-individual interactive process, as a result they decelerate towards their goals with the arching and congestion phenomena observed. The results show the good performance for crowd evacuation in real time and realism of the simulation process.