The dynamics of mixed traffic were analysed by examining the driving features of various vehicles based on their car-following behaviours in a test-driving circuit. By applying decision tree analysis to the observed data, we successfully compared the acceleration, velocity difference and distance gap of different vehicles during driving trials and quantitatively extracted the features of these physical values from the respective driving phases. Our investigation resulted in a short-distance gap for motorcycles in the steady phase, while a difference in the distance gap between cars and trucks appeared in the early deceleration phase. We also obtained the characteristic behaviours of these vehicle types in different driving phases. Our findings indicate that the car-following characteristics of various types of vehicles are affected by the recognition of vehicle agility. Furthermore, we propose the necessary model parameters for replicating these features in different driving phases.

中文翻译：

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不同车型在各个驾驶阶段的跟车特性

通过在试驾电路中根据车辆的跟车行为检查各种车辆的驾驶特性，分析混合交通的动态。通过对观测数据应用决策树分析，我们成功地比较了不同车辆在驾驶试验中的加速度、速度差和距离差距，并从各个驾驶阶段定量提取了这些物理值的特征。我们的调查导致摩托车在稳定阶段存在短距离差距，而汽车和卡车之间的距离差距出现在早期减速阶段。我们还获得了这些车型在不同驾驶阶段的特征行为。我们的研究结果表明，各种类型车辆的跟车特性受到车辆敏捷性识别的影响。此外，我们提出了在不同驾驶阶段复制这些特征所需的模型参数。