Field data application of a non-lane-based multi-class traffic flow model

Mohan, R and Ramadurai, G (2020) Field data application of a non-lane-based multi-class traffic flow model. In: IET Intelligent Transport Systems, 14 (7). pp. 657-667.

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Abstract

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. © The Institution of Engineering and Technology 2020

Item Type:	Journal Article
Publication:	IET Intelligent Transport Systems
Publisher:	Institution of Engineering and Technology
Additional Information:	The copyright of this article belongs to Institution of Engineering and Technology
Keywords:	Mechanical engineering; Transportation, Field scenarios; Gradient based; ITS applications; Multi class traffic; Multi-class models; Second-order models; Speed fluctuations; Traffic flow dynamics, Traffic congestion
Department/Centre:	Division of Interdisciplinary Sciences > Center for Infrastructure, Sustainable Transportation and Urban Planning (CiSTUP)
Date Deposited:	22 Sep 2020 05:46
Last Modified:	22 Sep 2020 05:46
URI:	http://eprints.iisc.ac.in/id/eprint/66491

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