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 language | English |
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| Title of host publication | Proceedings of the 21st International Conference of Hong Kong Society for Transportation Studies, HKSTS 2016 - Smart Transportation |
| Editors | Allan Wing Gun Wong, Simon Ho Fai Wong, Gordon Lai Ming Leung |
| Publisher | Hong Kong Society for Transportation Studies Limited |
| Pages | 183-190 |
| Number of pages | 8 |
| ISBN (Electronic) | 9789881581457 |
| Publication status | Published - 2018 Jan 1 |
| Event | 21st International Conference of Hong Kong Society for Transportation Studies: Smart Transportation, HKSTS 2016 - Hong Kong, Hong Kong Duration: 2016 Dec 10 → 2016 Dec 12 |
Publication series
| Name | Proceedings of the 21st International Conference of Hong Kong Society for Transportation Studies, HKSTS 2016 - Smart Transportation |
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Other
| Other | 21st International Conference of Hong Kong Society for Transportation Studies: Smart Transportation, HKSTS 2016 |
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| Country | Hong Kong |
| City | Hong Kong |
| Period | 16/12/10 → 16/12/12 |
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.