Journal of Transportation Systems Engineering and Information Technology ›› 2022, Vol. 22 ›› Issue (5): 215-222.DOI: 10.16097/j.cnki.1009-6744.2022.05.022

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Pedestrian Crossing Style Recognition Based on Multi-source Parameter Fusion

PENG Jin-shuan* , ZHAO Liu-chang, YANG Huan-huan   

  1. College of Traffic & Transportation, Chongqing Jiaotong University, Chongqing 400074, China
  • Received:2022-06-06 Revised:2022-06-27 Accepted:2022-07-04 Online:2022-10-25 Published:2022-10-22
  • Supported by:
    National Key Research and Development Program of China(2018YFB1600501);University Creative Research Group Project of Chongqing(CXQT21022)。

行人过街风格多参数融合识别

彭金栓* ,赵刘昌,杨欢欢   

  1. 重庆交通大学,交通运输学院,重庆 400074
  • 作者简介:彭金栓(1982- ),男,安徽太和人,教授,博士。
  • 基金资助:
    国家重点研发计划;重庆市高校创新研究群体项目。

Abstract: Pedestrians are the vulnerable group in the urban traffic system. It is of great significance to explore the characteristics of pedestrian crossing behavior to reduce human-vehicle conflict and improve the safety of pedestrian crossing. This paper designed a pedestrian crossing experiment under two scenarios (free crossing and psychological critical crossing) to investigate the coupling relationship among crossing speed, psychological critical time window, visual characteristics, and other major parameters. The risk perception factor and critical safety factor were selected as the representation indexes of pedestrian style under psychological critical crossing state. The crossing style recognition model was developed to analyze the reliability of different styles of pedestrian crossing behavior. The results show that the age of pedestrian significantly affects crossing speed/mental critical time window. The psychological critical time window is negatively correlated with crossing speed/signal light area fixation probability and positively correlated with traffic area fixation probability. In the state of psychological critical crossing, from the result of style recognition, male is more cautious than female. The failure rate of risky crossing behavior is 65.22%. There are significant deficiencies in the assessment ability of moving function and visual exploration features of some elderly pedestrians performing risky crossings. The study results provide reference for the design and optimization of intersection facilities, pedestrian crossing education and training, etc.

Key words: urban traffic, crossing style recognition, cluster analysis, pedestrian crossing characteristics, psychological critical time window, eye movement behavior

摘要: 行人作为城市慢行交通系统中的弱势群体,探究其过街行为特征,对减少人车冲突,提升行人过街的本质安全具有重要的现实意义。本文针对特定交叉口,设计自由过街及心理临界过街两种场景状态下的行人过街试验。分析过街速度、心理临界时窗及视觉特性等参数之间的耦合关系,选取风险感知因子与临界安全系数作为心理临界过街状态下行人风格的表征指标,构建过街风格识别模型,透析不同风格行人过街行为可靠性。结果表明:年龄对过街速度和心理临界时窗有显著影响;心理临界时窗与过街速度和信号灯区域注视概率呈负相关关系,与车行区域注视概率呈正相关;心理临界过街状态下,依据风格识别结果,男性谨慎程度高于女性,冒险型行人过街失败率为65.22%;冒险型老年人对自身运动机能的评估能力以及视觉搜索特征存在重要缺憾。研究结果可为交叉口基础设施设计与优化,行人过街教育与培训等提供参考。

关键词: 城市交通, 过街风格识别, 聚类分析, 行人过街特性, 心理临界时窗, 眼动行为

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