Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong.
Accid Anal Prev. 2024 Nov;207:107767. doi: 10.1016/j.aap.2024.107767. Epub 2024 Sep 4.
Yellow dilemma, at which a driver can neither stop nor go safely after the onset of yellow signals, is one of the major crash contributory factors at the signal junctions. Studies have visited the yellow dilemma problem using observation surveys. Factors including road environment, traffic conditions, and driver characteristics that affect the driver behaviours are revealed. However, it is rare that the joint effects of situational and attitudinal factors on the driver behaviours at the yellow dilemma zone are considered. In this study, drivers' propensity to stop after the onset of yellow signals is examined using the driving simulator approach. For instances, the association between driver propensity, socio-demographics, safety perception, traffic signals, and traffic and weather conditions are measured using a binary logit model. Additionally, variations in the effect of influencing factors on driver behaviours are accommodated by adding the interaction terms for driver characteristics, traffic flow characteristics, traffic signals, and weather conditions. Results indicate that weather conditions, traffic volume, position of yellow dilemma in the sequence, driver age and safety perception significantly affect the drivers' propensity to stop after the onset of yellow signals. Furthermore, there are remarkable interactions for the effects of driver gender and location of yellow dilemma.
黄灯困境是指驾驶员在遇到黄灯信号后既不能停车也不能安全行驶,这是信号灯交叉口重大碰撞事故的主要原因之一。研究已经使用观察调查的方法研究了黄灯困境问题。揭示了影响驾驶员行为的道路环境、交通状况和驾驶员特征等因素。然而,很少有研究考虑情境因素和态度因素对驾驶员在黄灯困境区域的行为的综合影响。在这项研究中,使用驾驶模拟器方法来检验驾驶员在遇到黄灯信号后的停车倾向。例如,使用二元逻辑回归模型测量了驾驶员倾向、社会人口统计学、安全感知、交通信号以及交通和天气条件之间的关联。此外,通过添加驾驶员特征、交通流量特征、交通信号和天气条件的交互项,来适应影响因素对驾驶员行为的影响变化。结果表明,天气条件、交通量、黄灯困境在序列中的位置、驾驶员年龄和安全感知显著影响驾驶员在遇到黄灯信号后的停车倾向。此外,驾驶员性别和黄灯困境位置的影响存在显著的交互作用。