基于网络理论的行人从众违法过街行为模型

为研究信号交叉口行人从众违法过街行为机理,运用网络理论,分析不同条件下行人群体网络的结构特征及演化规律.首先,借助动作捕捉技术获取行人从众违法过街行为的基础数据.然后,以实际交通行为数据为基础,构建行人过街的群体网络.最后,通过分析不同红灯时段以及不同性别的行人网络度分布情况,研究行人违法过街行为的规律.结果表明:等待时间越长,当人群中出现违法过街行为时,吸引从众违法过街的行人就越多;在过街行为方面,男性较女性更易从众,且男性的违法过街行为更易吸引其他行人违法过街.

Modeling Pedestrian's Conformity Violation Behavior Based on Networks Analysis

In order to analyze conformity in pedestrian 's violation crossing behavior, structural characteristics and evolution rules of pedestrian network were studied by using the theory of network. First,some pedestrian violation crossing behavior was observed by the motion capture technology. Second based on the pedestrian 's real crossing behavior,pedestrian network was built. Finally,pedestrian illegal crossing behavior trends were studied by analyzing the network degree under the conditions of different red light time and different gender distribution. It is concluded that when waiting time is longer, more pedestrians will join in the violation crossing once one pedestrian crossing on red signal occurs. In addition,male pedestrians are more likely to cross in conformity,and their behavior would attract other pedestrians committing violation.