Analysis of variation in demand and performance of urban expressways using dynamic path flow estimation

Jinyoung Kim; Fumitaka Kurauchi; Nobuhiro Uno

doi:10.1080/18128600903244685

Analysis of variation in demand and performance of urban expressways using dynamic path flow estimation

Jinyoung Kim, Fumitaka Kurauchi, Nobuhiro Uno

International Research Institute of Disaster Science (IRIDeS)

Research output: Contribution to journal › Article › peer-review

8 Citations (Scopus)

Abstract

Understanding the dynamic characteristics of traffic demand is a key issue in designing a more reliable transport network. Identifying variations in link flow is easy, but it is impossible to determine variations in demand directly from observed traffic data. In this study, demand fluctuation was analysed using the dynamic path flow estimation method. Path flows were estimated using 1 year data from the Hanshin Expressway in Japan, and demand variations were analysed using the estimated results. This article also discusses the relationship between demand variations and external conditions such as weather and commercial practises. The results provide a valuable background for more detailed traffic control measures.

Original language	English
Pages (from-to)	63-84
Number of pages	22
Journal	Transportmetrica
Volume	7
Issue number	1
DOIs	https://doi.org/10.1080/18128600903244685
Publication status	Published - 2011 Jan

Keywords

Dynamic path flow estimation
Road performance variation
Traffic demand variation

ASJC Scopus subject areas

Transportation
Engineering(all)

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10.1080/18128600903244685

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Analysis of variation in demand and performance of urban expressways using dynamic path flow estimation

Abstract

Keywords

ASJC Scopus subject areas

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