Drivers’ decisions to either slow and stop or go at the onset of yellow signal impact on intersection safety. This novel study contributes to the new classification scheme for drivers. Two driving style indexes (i.e., the driving reliability index and dangerous driving index) are adopted, along with other known factors to analyze stop/go decision-making. Initially, the driving reliability index is extracted using a Hidden Markov Model (HMM). The dangerous driving index is calculated based on statistics extracted from dangerous driving records. A latent class logit model is then proposed to explore the factors which influence drivers’ decisions. Drivers are classified for analytical purposes into “low-risk” and “high-risk” categories according to driving styles and age. Results indicate that those considering “low-risk” tend to stop, while drivers considering “high-risk” are inclined to pass intersections. Furthermore, distractions from cell phones have different influences on each group of drivers. These findings help to determine driver preferences and may be used to formulate strategies to reduce unsafe driving occurring at signalized intersections.

中文翻译：

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信号交叉口黄色发车的驾驶员决策分析

驾驶员的决定是减速，停车或在黄色信号出现时走，会影响路口安全。这项新颖的研究为驾驶员的新分类方案做出了贡献。采用了两种驾驶风格指标（即驾驶可靠性指标和危险驾驶指标），以及其他已知因素来分析停/走决策。最初，使用隐马尔可夫模型（HMM）提取驾驶可靠性指标。根据从危险驾驶记录中提取的统计数据来计算危险驾驶指数。然后提出了一个潜在的类logit模型来探索影响驾驶员决策的因素。出于分析目的，根据驾驶方式和年龄，将驾驶员分为“低风险”和“高风险”类别。结果表明，那些考虑“低风险”的人倾向于停止活动，而考虑“高风险”的驾驶员则倾向于通过十字路口。此外，手机的干扰对每组驾驶员都有不同的影响。这些发现有助于确定驾驶员的偏爱，并可用于制定减少信号交叉口发生不安全驾驶的策略。