Modeling decision-making process of drivers during yellow signal phase at intersections based on drift–diffusion model

IF 3.5 2区 工程技术 Q1 PSYCHOLOGY, APPLIED
Pengfei Liu , Jing Zhao , Fanlei Zhang , Hwasoo Yeo
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Abstract

The decision-making behavior of drivers during the yellow signal phase has a significant impact on intersection safety. To analyze the decision-making process, we conducted surveys on driver behavior during yellow signal phase. A drift–diffusion model was established to analyze factors associated with driver decisions. The model can accurately predict driving decision outcomes (whether to proceed through the intersection during the yellow signal phase) and the decision-making times of different drivers. Driving data were collected using a driving simulator, including 15 participants in 210 tests in seven scenarios (3150 experimental samples). Drivers with similar driving behaviors were grouped. The model was validated using both in-sample and out-of-sample data for both individual and representative drivers. It was found that the error rate of the predicted data was approximately 7 %. Different arrival times had a significant impact on decision response time. Drivers tended to make faster decisions when the arrival time was less than 2 s due to the urgency of the decision. The findings can help understand the underlying cognitive mechanisms of driver behavior during the yellow signal phase.

基于漂移-扩散模型的交叉口黄灯信号阶段驾驶员决策过程建模
驾驶员在黄灯信号阶段的决策行为对交叉口安全有重大影响。为了分析决策过程,我们对黄灯信号阶段的驾驶员行为进行了调查。我们建立了一个漂移-扩散模型来分析与驾驶员决策相关的因素。该模型可准确预测驾驶决策结果(是否在黄灯信号阶段继续通过交叉路口)以及不同驾驶员的决策时间。我们使用驾驶模拟器收集了驾驶数据,其中包括 15 名参与者在 7 个场景中进行的 210 次测试(3150 个实验样本)。对驾驶行为相似的驾驶员进行了分组。利用样本内和样本外数据对模型进行了验证,验证对象包括个体驾驶员和具有代表性的驾驶员。结果发现,预测数据的误差率约为 7%。不同的到达时间对决策响应时间有显著影响。由于决策的紧迫性,当到达时间小于 2 秒时,驾驶员倾向于更快地做出决策。这些发现有助于理解黄色信号灯阶段驾驶员行为的潜在认知机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.60
自引率
14.60%
发文量
239
审稿时长
71 days
期刊介绍: Transportation Research Part F: Traffic Psychology and Behaviour focuses on the behavioural and psychological aspects of traffic and transport. The aim of the journal is to enhance theory development, improve the quality of empirical studies and to stimulate the application of research findings in practice. TRF provides a focus and a means of communication for the considerable amount of research activities that are now being carried out in this field. The journal provides a forum for transportation researchers, psychologists, ergonomists, engineers and policy-makers with an interest in traffic and transport psychology.
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