DocumentCode
2945085
Title
An Improved Cellular Automaton Model for Urban Walkway Bi-directional Pedestrian Flow
Author
Wang Tao ; Chen Jun
Author_Institution
Sch. of Transp., Southeast Univ., Nanjing, China
Volume
3
fYear
2009
fDate
11-12 April 2009
Firstpage
458
Lastpage
461
Abstract
In order to describe traffic operation characteristics of bi-directional pedestrian flow in urban pedestrian walkways and work for walking safe, authors proposed an improved cellular automaton bi-directional pedestrian flow model. This model takes into account many basic pedestrian behaviors, forward move, side stepping, position exchange, lateral-move and step back, and, using MOORE Neighborhood method, provides rules of pedestrian movement combining with the characteristics of walking process , for instance, intelligent, flexible and complicated. With computer simulation, authors studied the influence of position exchange and lateral-move on the model, the parameters of bi-directional pedestrian flow such as velocity and volume were discussed also. The results demonstrated that position exchange and lateral-move make the pedestrian behavior more comprehensive; the model could be better applied to simulate the high-density bi-directional pedestrian flow and provided reasonable traffic operation parameters of bi-directional pedestrian flow.
Keywords
cellular automata; traffic; MOORE Neighborhood method; cellular automaton model; lateral move; pedestrian behavior; pedestrian movement; position exchange; safe walking; traffic operation characteristics; traffic operation parameter; urban walkway bidirectional pedestrian flow; walking process; Automata; Bidirectional control; Computational modeling; Computer simulation; Electronic mail; Fluid flow measurement; Lattices; Legged locomotion; Traffic control; Vehicles; bi-directional pedestrian flow; cellular automaton; computer simulation; lateral-move; position exchange;
fLanguage
English
Publisher
ieee
Conference_Titel
Measuring Technology and Mechatronics Automation, 2009. ICMTMA '09. International Conference on
Conference_Location
Zhangjiajie, Hunan
Print_ISBN
978-0-7695-3583-8
Type
conf
DOI
10.1109/ICMTMA.2009.252
Filename
5203242
Link To Document