Zhou Zhuping, Hu Qizhou, Wang Wei
Department of Traffic Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.
School of Transportation, Southeast University, Nanjing 210096, China.
Comput Intell Neurosci. 2014;2014:865750. doi: 10.1155/2014/865750. Epub 2014 Nov 4.
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.
行人伤亡问题在全球范围内都存在。行人违反规则的行为会导致许多行人交通事故，在中国的信号交叉口，这种现象很常见。复杂网络的概念和度量方法被应用于分析行人网络中违规过街行为的结构特征和演化规律。首先，建立了行人过街网络，并分析了网络的度分布。然后，利用SI模型的基本思想，提出了行人违规过街行为的传播模型。最后，通过仿真分析，得出了不同网络结构和不同传播速率下行人违规过街行为的趋势。得出了一些结论：随着等待时间的增加，一旦有行人首先闯红灯过街，就会有更多行人加入违规过街的行列。并且行人的违规行为会随着传播速率的增加而增加。
