Vehicle Yielding Behavior Analysis for Unsignalized
 Midblock Pedestrian Crosswalks

doi:10.16097/j.cnki.1009-6744.2025.05.019

Abstract

Abstract: Unsignalized midblock crosswalks are high-risk zones for traffic accidents, with vehicle yielding behavior serving as a core factor in balancing pedestrian safety and traffic efficiency. Considering low vehicle yielding rates and oversimplified violation criteria at such crosswalks, this paper proposes a heterogeneous vehicle yielding behavior model and a decision-space partitioning framework. The study collect 1511 vehicle-pedestrian interaction events at a midblock crosswalk on Yanta Road in Xi'an city and analyzed them using kinetic modeling and Logistic regression. The results show that: (1) Heterogeneous yielding behaviors exist across vehicle types, buses exhibit the highest yielding rates, taxis demonstrate the highest approach speeds driven by economic incentives, and private vehicles show the lowest yielding rates. (2) Velocity and distance are identified as core kinetic variables, a 1 m·s^-1 increase in vehicle speed reduces yielding probability by 18.6%, while a 1 m extension in longitudinal distance increases yielding probability by 13.7%. Pedestrian speed shows a disproportionate effect, with a 1 m·s^-1 rise significantly elevating yielding probability by 317%. (3) Social-environmental factors drive behavioral compliance, parallel vehicles trigger a "normative effect", increasing yielding probability by 146%. During low-traffic periods, violation risks escalate, necessitating warning facilities to compensate for regulatory gaps. This study provides theoretical support for differentiated law enforcement, vehicle-specific control strategies, and infrastructure optimization.

Key words: urban traffic, vehicle yielding behavior, machine vision, pedestrian-vehicle conflict, yielding decision space

摘要： 无信号灯控制路段人行横道作为交通事故高发区域，其车辆让行行为是平衡行人安全与交通效率的核心问题。本文针对无信号灯控制路段人行横道车辆让行率低与违法判定标准单一化问题，提出异质性车辆让行行为模型与决策空间分区框架。基于西安市雁塔路中段人行横道1511起人车交互事件数据，结合动力学模型与Logistic回归分析，得出以下结论：车辆让行行为群体异质性显著，公交车让行率最高，出租车因经济激励驱动接近速度最高，私家车让行率最低。速度-距离为核心动力学变量，车速每增1 m·s^-1，让行概率降18.6%；纵向距离每扩1m，让行概率升13.7%；行人速度每升1m·s-1显著提升让行概率317%。社会环境驱动行为合规性，并行车辆触发“规范性效应”，使让行概率提升146%；低流量时段违法风险显著上升，需通过警示设施弥补监管缺口。本文可为差异化执法、车辆群体管控及设施优化提供理论支撑。

关键词: 城市交通, 车辆让行行为, 机器视觉, 人车冲突, 让行决策空间

CLC Number:

U121

CHEN Wenqiang, XUE Panpan, WANG Tao, GU Yulei. Vehicle Yielding Behavior Analysis for Unsignalized Midblock Pedestrian Crosswalks[J]. Journal of Transportation Systems Engineering and Information Technology, 2025, 25(5): 215-225.

陈文强, 薛盼盼, 王涛, 顾玉磊. 无信号灯控制路段人行横道车辆让行行为研究[J]. 交通运输系统工程与信息, 2025, 25(5): 215-225.

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URL: http://www.tseit.org.cn/EN/10.16097/j.cnki.1009-6744.2025.05.019

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Vehicle Yielding Behavior Analysis for Unsignalized Midblock Pedestrian Crosswalks

无信号灯控制路段人行横道车辆让行行为研究

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