Real-time traffic state estimation on a two-dimensional network by the state-space model

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

Abstract

In this study, we propose a traffic state estimation on a two-dimensional network which takes into consideration the route choice by state-space model. In a two-dimensional network, the traffic condition changes due to route choice behavior of the users. In this study, we developed a state-space model which uses a CTM with a route choice model and probe data.

Original languageEnglish
Title of host publicationProceedings of the 21st International Conference of Hong Kong Society for Transportation Studies, HKSTS 2016 - Smart Transportation
EditorsAllan Wing Gun Wong, Simon Ho Fai Wong, Gordon Lai Ming Leung
PublisherHong Kong Society for Transportation Studies Limited
Pages183-190
Number of pages8
ISBN (Electronic)9789881581457
Publication statusPublished - 2018 Jan 1
Event21st International Conference of Hong Kong Society for Transportation Studies: Smart Transportation, HKSTS 2016 - Hong Kong, Hong Kong
Duration: 2016 Dec 102016 Dec 12

Publication series

NameProceedings of the 21st International Conference of Hong Kong Society for Transportation Studies, HKSTS 2016 - Smart Transportation

Other

Other21st International Conference of Hong Kong Society for Transportation Studies: Smart Transportation, HKSTS 2016
CountryHong Kong
CityHong Kong
Period16/12/1016/12/12

Keywords

  • Probe data
  • State space model
  • Traffic flow model
  • Two-dimensional network

ASJC Scopus subject areas

  • Transportation

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  • Cite this

    Kawasaki, Y., Hara, Y., & Kuwahara, M. (2018). Real-time traffic state estimation on a two-dimensional network by the state-space model. In A. W. G. Wong, S. H. F. Wong, & G. L. M. Leung (Eds.), Proceedings of the 21st International Conference of Hong Kong Society for Transportation Studies, HKSTS 2016 - Smart Transportation (pp. 183-190). (Proceedings of the 21st International Conference of Hong Kong Society for Transportation Studies, HKSTS 2016 - Smart Transportation). Hong Kong Society for Transportation Studies Limited.