基于网络理论的行人从众违法过街行为模型

发布时间：2019-01-08 21:17

【摘要】：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.
[Abstract]:In order to study the mechanism of pedestrian illegal crossing at signalized intersection, the structure characteristics and evolution law of pedestrian group network under different conditions are analyzed by using network theory. First of all, the basic data of pedestrian illegal crossing are obtained by motion capture technology. Then, based on the actual traffic behavior data, the group network of pedestrians crossing the street is constructed. Finally, by analyzing the distribution of pedestrian network in different red light periods and different genders, the law of pedestrian illegal crossing is studied. The results show that the longer the waiting time is, the more pedestrians will be attracted to cross the street illegally when there is illegal crossing behavior in the crowd. Men are more likely to follow the crowd than women, and men are more likely to attract other pedestrians to cross the street.
【作者单位】：南京理工大学交通工程系;东南大学交通学院;
【基金】：国家自然科学基金资助项目(51308298) 南京理工大学自主科研专项资助项目(AE89275)
【分类号】：U491.226

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