Event-Based Modeling of Driver Yielding Behavior at Unsignalized Crosswalks.
Event-Based Modeling of Driver Yielding Behavior at Unsignalized Crosswalks.
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DOI：
10.1061/(asce)te.1943-5436.0000225
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发表时间：
2011-07
影响因子：
--
通讯作者：
Rouphail NM
中科院分区：
文献类型：
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作者：
Schroeder BJ;Rouphail NM
本研究探讨了与驾驶员在无信号人行横道处让行行为相关的因素，并使用逻辑回归开发了让行预测模型。它考虑了描述驾驶员属性、行人特征和人行横道并发条件的变量对屈服响应的影响。特别考虑了“车辆动力学约束”，它构成了屈服潜力的阈值。识别出与驾驶员响应信号交叉口“琥珀色”指示的反应的相似之处。 Logit 模型是根据在北卡罗来纳州两个无信号的街区中间人行横道收集的数据开发的。这些数据包括对两项行人安全处理、街内行人过路标志和行人驱动的道路警示灯“之前”和“之后”的观察。分析表明，司机更有可能让行人在接近人行横道时轻快地行走。反过来，当速度、减速度较高且车辆成排行驶时，屈服概率也会降低。事实证明，治疗效果显着，并增加了驾驶员让行的倾向，但其有效性可能取决于行人是否启动治疗。这项研究的结果为无信号十字路口行人和车辆的复杂交互提供了新的见解，并对未来驾驶员让行行为预测模型的研究具有重要意义。开发的 Logit 模型可以为在微观仿真建模环境中表示驾驶员让行行为提供基础。
This research explores factors associated with driver yielding behavior at unsignalized pedestrian crossings and develops predictive models for yielding using logistic regression. It considers the effect of variables describing driver attributes, pedestrian characteristics and concurrent conditions at the crosswalk on the yield response. Special consideration is given to ‘vehicle dynamics constraints’ that form a threshold for the potential to yield. Similarities are identified to driver reaction in response to the ‘amber’ indication at a signalized intersection. The logit models were developed from data collected at two unsignalized mid-block crosswalks in North Carolina. The data include ‘before’ and ‘after’ observations of two pedestrian safety treatments, an in-street pedestrian crossing sign and pedestrian-actuated in-roadway warning lights. The analysis suggests that drivers are more likely to yield to assertive pedestrians who walk briskly in their approach to the crosswalk. In turn, the yield probability is reduced with higher speeds, deceleration rates and if vehicles are traveling in platoons. The treatment effects proved to be significant and increased the propensity of drivers to yield, but their effectiveness may be dependent on whether the pedestrian activates the treatment. The results of this research provide new insights on the complex interaction of pedestrians and vehicles at unsignalized intersections and have implications for future work towards predictive models for driver yielding behavior. The developed logit models can provide the basis for representing driver yielding behavior in a microsimulation modeling environment.