基于决策—执行模型的无信号路段过街横道行人轨迹研究
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东北林业大学

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中央高校基本科研业务费专项资金资助,项目编号:2572023CT21-02;黑龙江省重点研发计划项目(JD22A014)


Study on pedestrian trajectory of crossing street in unsignaled section based on decision-executive model
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    摘要:

    【目的】为刻画无信号路段过街横道处行人的轨迹特征,并深入解析其过街行为机制,【方法】本文构建了一种基于决策-执行框架的行人过街模型。在决策层面,针对行人在横道内外的过街行为差异,采用二元Logistic回归模型建立横道内与横道外的过街决策模型,以识别关键影响因素。在执行层面,考虑传统社会力模型描述行人过街的局限性,引入行人主动超越力与横道作用力,优化行人过街运动模型。研究通过MATLAB平台验证模型的有效性,结合实测数据分析行人过街轨迹分布。【结果】表明,相较于过街横道内决策模型,看手机、存在非机动车过街对过街横道外决策结果影响显著,而改进的社会力模型能更好地模拟行人过街的轨迹变化。【结论】本文提出的行人过街决策-执行模型可有效识别影响行人安全的关键因素,为无信号路段交通安全优化及行人过街设施规划提供理论支持。

    Abstract:

    【Purpose】To depict the trajectory characteristics of pedestrians at crosswalks in signal-free sections and deeply analyze their crossing behavior mechanisms, 【Method】this paper constructs a pedestrian crossing model based on a decision-execution framework. At the decision-making level, considering the differences in pedestrian crossing behaviors inside and outside the crosswalk, a binary Logistic regression model is adopted to establish the crossing decision models for both inside and outside the crosswalk to identify key influencing factors. At the execution level, given the limitations of traditional social force models in describing pedestrian crossing behaviors, pedestrian active overtaking force and crosswalk force are introduced to optimize the microscopic movement model of pedestrians. The validity of the model is verified through the MATLAB platform, and the trajectory distribution of pedestrians crossing is analyzed in combination with field measurement data. 【Result】show that compared with the decision model for the crosswalk interior, looking at mobile phones and the presence of non-motorized vehicles crossing have a significant impact on the decision-making results outside the crosswalk, while the improved social force model can better simulate the trajectory changes of pedestrians crossing. 【Conclusion】The pedestrian crossing deci-sion-execution model proposed in this paper can effectively identify key factors affecting pedestrian safety, providing theoretical support for traffic safety optimization and pedestrian facility planning in signal-free sections.

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  • 收稿日期:2025-05-14
  • 最后修改日期:2025-06-17
  • 录用日期:2025-07-02
  • 在线发布日期: 2026-06-05
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