Incremental unscented Kalman filter for real-time traffic estimation on motorways using multi-source data-Reference-Cited by-同舟云学术

Incremental unscented Kalman filter for real-time traffic estimation on motorways using multi-source data

Published:2021-06-01 Issue: Volume: Page:1-27
ISSN:2324-9935
Container-title:Transportmetrica A: Transport Science
language:en
Short-container-title:Transportmetrica A: Transport Science

Author:

Trinh Xuan-Sy¹^ORCID,Ngoduy Dong²^ORCID,Keyvan-Ekbatani Mehdi¹^ORCID,Robertson Blair³^ORCID

Affiliation:

1. Complex Transport Systems Laboratory (CTSLAB), Department of Civil and Natural Resources Engineering, University of Canterbury, Christchurch, New Zealand

2. Institute of Transport Studies, Monash University, Melbourne, Australia

3. School of Mathematics and Statistics, University of Canterbury, Christchurch, New Zealand

Publisher

Informa UK Limited

Subject

General Engineering,Transportation

Link

https://www.tandfonline.com/doi/pdf/10.1080/23249935.2021.1931548

Reference46 articles.

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2. Chu, Lianyu, S. Oh, and Will Recker. 2005. “Adaptive Kalman Filter Based Freeway Travel Time Estimation.” In 84th TRB Annual Meeting, Washington, D.C., United States, Transportation Research Board.

3. �ber die partiellen Differenzengleichungen der mathematischen Physik

4. The cell transmission model: A dynamic representation of highway traffic consistent with the hydrodynamic theory

5. The cell transmission model, part II: Network traffic

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