Multi-class traffic flow modelling has various approaches several of which have focused on analytical proofs. A key limitation in this field of research is the limited field data applications. This study proposes a speed-gradient-based multi-class second-order model and shows its application to three different road sections, a mid-block section, a section with a bottleneck, and a section with a signal at the end, in Chennai, India. The model captures the congestion formation and dissipation phenomena well and could predict outflow and speed fluctuations generally observed in the field scenarios accurately. The prediction of traffic flow dynamics by the proposed model is also observed to be better when compared with two existing higher-order multi-class models.

中文翻译：

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基于非车道的多类交通流模型的现场数据应用

多类交通流建模具有多种方法，其中几种方法集中于分析证明。该研究领域的关键限制是有限的现场数据应用。这项研究提出了一种基于速度梯度的多类二阶模型，并显示了其在金奈的三个不同路段的应用：中间路段，有瓶颈的路段和末端有信号的路段。 ，印度。该模型可以很好地捕获拥塞形成和耗散现象，并且可以准确预测通常在现场场景中观察到的流量和速度波动。与两个现有的高阶多类模型相比，通过所提出的模型对交通流动力学的预测也更好。