交通运输系统工程与信息 ›› 2025, Vol. 25 ›› Issue (2): 364-372.DOI: 10.16097/j.cnki.1009-6744.2025.02.033

• 工程应用与案例分析 • 上一篇    

手机分心条件下行人运动特性研究

姚明,王宇航,曹淑超*,马露涵   

  1. 江苏大学,汽车与交通工程学院,江苏镇江212013
  • 收稿日期:2025-01-24 修回日期:2025-02-22 接受日期:2025-02-26 出版日期:2025-04-25 发布日期:2025-04-20
  • 作者简介:姚明(1977—),男,江苏镇江人,副教授,博士。
  • 基金资助:
    国家自然科学基金 (72374087, 72001095)。

Pedestrian Movement Characteristics with Mobile Phone Distractions

YAO Ming,WANG Yuhang,CAO Shuchao*,MA Luhan   

  1. School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013, Jiangsu, China
  • Received:2025-01-24 Revised:2025-02-22 Accepted:2025-02-26 Online:2025-04-25 Published:2025-04-20
  • Supported by:
    National Natural Science Foundation of China (72374087, 72001095)。

摘要: 为探究手机分心行为对行人运动轨迹、步态特征和步行速度的影响,本文通过设计可控实验方案,开展了正常与3种分心(阅读、发消息和看视频)状态下的步行运动实验。基于图像处理技术获得高精度行人运动轨迹,量化分析不同的分心行为对运动轨迹、步长、步宽、步进时间和步行速度的影响。结果表明:分心行为使运动轨迹更加无序,其中视频组的偏移距离最大,较正常组增加33.98%。分心行为使行人加速能力变差,行人的步行速度降低,视频组的加速度下降26.78%,弛豫时间增加了44.88%,步行速度下降幅度达28.24%。从步态特征来看,整体步长随着分心程度的加重而缩短,步宽和步进时间则呈现相反趋势。其中消息组步长最短,步宽最大,步进时间最长。通过线性拟合步行速度与步态参数之间的关系发现,步长随步行速度的增大而增加,步宽和步进时间与速度成反比。

关键词: 城市交通, 行人安全, 分心行为, 运动轨迹, 步态特征

Abstract: To investigate the impact of smartphone distraction on pedestrian movement trajectories, gait characteristics, and walking speed, this paper designed a controllable experimental scheme, and performed series of walking experiments under normal and three distraction conditions (reading, sending messages, watching videos). Based on image processing technology, high precision pedestrian trajectories were obtained, and the effects of different distractions were analyzed for trajectory, step length, step width, step time and walking speed. The results indicate that distracted behaviors lead to more disordered movement trajectories, with the video group showing the largest deviation distance, which is 33.98% greater than the normal group. Distraction also impairs pedestrian acceleration abilities, reducing walking speed. The video group shows a 26.78% decrease in acceleration, a 44.88% increase in relaxation time, and a 28.24% reduction in walking speed. As for gait characteristics, step length decreases as the level of distraction increases, while step width and stride time show opposite trends. Notably, the messaging group exhibits the shortest step length, the widest step width, and the longest stride time. A linear regression analysis reveals that step length increases with walking speed, while step width and stride time are inversely related to speed.

Key words: urban traffic, pedestrian safety, distraction behavior, movement trajectory, gait characteristics

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