Effect of origin-destination structures on network performance: Some simple examples

Koki Satsukawa, Kentarou Wada

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This paper shows the relationship between a Macroscopic Fundamental Diagram (MFD) and congestion patterns in a general network. Specifically, for a given congestion pattern, we derive a network throughput analytically by solving a dynamic user equilibrium (DUE) problem under a steady state condition. By using this analytical formula, we can investigate the effects of congestion patterns, network configurations, and route choice behaviors on the network throughput. As an application of this method, we show simple examples that different OD structures may exert different effects on the network throughput.

Original languageEnglish
Title of host publicationProceedings of the 20th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2015
Subtitle of host publicationUrban Transport Analytics
EditorsSylvia Y. He, Yong-Hong Kuo, C.H. Cheng, Janny M.Y. Leung
PublisherHong Kong Society for Transportation Studies Limited
Pages526-534
Number of pages9
ISBN (Electronic)9789881581440
Publication statusPublished - 2015 Jan 1
Event20th International Conference of Hong Kong Society for Transportation Studies: Urban Transport Analytics, HKSTS 2015 - Hong Kong, Hong Kong
Duration: 2015 Dec 122015 Dec 14

Publication series

NameProceedings of the 20th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2015: Urban Transport Analytics

Conference

Conference20th International Conference of Hong Kong Society for Transportation Studies: Urban Transport Analytics, HKSTS 2015
CountryHong Kong
CityHong Kong
Period15/12/1215/12/14

Keywords

  • Dynamic user equilibrium
  • Macroscopic Fundamental Diagram
  • Network throughput

ASJC Scopus subject areas

  • Transportation

Fingerprint Dive into the research topics of 'Effect of origin-destination structures on network performance: Some simple examples'. Together they form a unique fingerprint.

  • Cite this

    Satsukawa, K., & Wada, K. (2015). Effect of origin-destination structures on network performance: Some simple examples. In S. Y. He, Y-H. Kuo, C. H. Cheng, & J. M. Y. Leung (Eds.), Proceedings of the 20th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2015: Urban Transport Analytics (pp. 526-534). (Proceedings of the 20th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2015: Urban Transport Analytics). Hong Kong Society for Transportation Studies Limited.