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Analysis on Illegal Crossing Behavior of Pedestrians at Signalized Intersections Based on Bayesian Network

机译:基于贝叶斯网络的信号交叉口行人非法交叉行为分析

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Pedestrians do not always comply with the crossing rules of when and/or where to cross the road at signalized intersections. This risky behavior tends to undermine greatly the effectiveness of safety countermeasures at such locations. Thus, it is very important to understand illegal behavior to develop more effective and targeting measures. In order to address the problem, this paper aimed to analyze characteristics of illegal crossings and their impact on behavior choice. Firstly, illegal crossing behaviors at signalized intersections were classified into two categories, including “crossing at a red light” and “crossing outside of a crosswalk.” Secondly, two sets of data were collected to understand the behaviors. One set of data was collected from video-based observation conducted at 3 signalized intersections in Guangzhou, China, capturing 3334 valid illegal crossing cases in total. Another set of data, from a questionnaire survey conducted online, resulted in 275 valid responses. Finally, presentational characteristics of illegal crossings at signalized intersection were analyzed and two Bayesian network-based behavior models were developed to investigate the characteristics and their impacts on the two types of illegal crossing behaviors, “crossing at a red light” and “crossing outside of a crosswalk,” respectively. Findings reveal that, (i) illegal crossings occur at various types of signalized intersections, with a higher probability for “crossing outside of a crosswalk” compared to “crossing at a red light;” (ii) Arc routing crossing has the highest probability to occur at signalized intersections compared to other types of out-side-crosswalk crossings. (iii) The location of origin and destination of a pedestrian has a significant effect on crossing outside of a crosswalk, the location of origin and destination of “one is inside of a crosswalk and another is outside of a crosswalk” has a highest proportion. These findings provide better understanding of illegal crossings and their impact factors so that the effectiveness of management and control of pedestrians at signalized intersections can be improved.
机译:行人并不总是遵守在信号交叉路口的何时和/或地点的交叉规则遵守交叉规则。这种危险的行为倾向于破坏这些地点安全对策的有效性。因此,了解非法行为以发展更有效和瞄准措施是非常重要的。为了解决这个问题,本文旨在分析非法交叉口的特点及其对行为选择的影响。首先,信号交叉点的非法交叉行为被分为两类,包括“穿过红光”和“穿越人行横道”。其次,收集了两组数据以了解行为。从中国广州广州3个信号交叉口进行的基于视频的观察中收集了一组数据,捕获了3334年的非法交叉案件。另一组数据来自在线调查调查,导致了275个有效的回复。最后,分析了信号交叉点的非法交叉口的表现特征,并开发了两个贝叶斯网络的行为模型来调查对两种非法交叉行为的特点及其影响,“在红灯中交叉”和“穿越外面分别是人行横道。结果表明,(i)非法交叉发生在各种类型的信号交叉口,与“穿越红光交叉”相比,“穿越人行横道外面的交叉”的概率更高; (ii)与其他类型的外侧面交叉口相比,电弧路由交叉具有在信号交叉口发生的最高概率。 (iii)行人的原产地和目的地的位置对穿越人行横道的交叉有显着影响,“一个人在人行横道内部的目的地和另一个位于人行横道之外的位置具有最高比例。这些调查结果可以更好地了解非法交叉口及其影响因素,以便可以提高信号交叉口管理和控制行人的有效性。

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