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Computational Intelligence and Neuroscience
Volume 2014, Article ID 865750, 7 pages
Research Article

Modeling Pedestrian’s Conformity Violation Behavior: A Complex Network Based Approach

1Department of Traffic Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
2School of Transportation, Southeast University, Nanjing 210096, China

Received 19 July 2014; Accepted 25 August 2014; Published 4 November 2014

Academic Editor: Yongjun Shen

Copyright © 2014 Zhuping Zhou et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Pedestrian injuries and fatalities present a problem all over the world. Pedestrian conformity violation behaviors, which lead to many pedestrian crashes, are common phenomena at the signalized intersections in China. The concepts and metrics of complex networks are applied to analyze the structural characteristics and evolution rules of pedestrian network about the conformity violation crossings. First, a network of pedestrians crossing the street is established, and the network’s degree distributions are analyzed. Then, by using the basic idea of SI model, a spreading model of pedestrian illegal crossing behavior is proposed. Finally, through simulation analysis, pedestrian’s illegal crossing behavior trends are obtained in different network structures and different spreading rates. Some conclusions are drawn: as the waiting time increases, more pedestrians will join in the violation crossing once a pedestrian crosses on red firstly. And pedestrian’s conformity violation behavior will increase as the spreading rate increases.