Field data application of a non‐lane‐based multi‐class traffic flow model. Issue 7 (10th March 2020)

• Record Type: Journal Article
• Authors: Mohan, Ranju; Ramadurai, Gitakrishnan
• Is Part Of: IET intelligent transport systems. Volume 14:Issue 7(2020)
• Page Start: 657
• Page End: 667
• Publication Date: 2020-03-10
• Subjects: fluctuations -- gradient methods -- road traffic; field data application -- nonlane‐based multiclass traffic flow model -- multiclass traffic flow modelling -- analytical proofs -- key limitation -- second‐order model -- different road sections -- mid‐block section -- field scenarios -- traffic flow dynamics -- existing higher‐order multiclass models -- speed‐gradient‐based multiclass second‐order model; Intelligent transportation systems -- Periodicals; Electronics in transportation -- Periodicals; 388.31205
• DOI: 10.1049/iet-its.2019.0583
• Languages: English
• ISSNs: 1751-956X

Abstract

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.