State Estimation for Communication-Based Train Control Systems with CSMA Protocol
- Submitting institution
-
Brunel University London
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 058-189753-7002897
- Type
- D - Journal article
- DOI
-
10.1109/TITS.2018.2835655
- Title of journal
- Ieee Transactions On Intelligent Transportation Systems
- Article number
- -
- First page
- 843
- Volume
- 20
- Issue
- 3
- ISSN
- 1524-9050
- Open access status
- Deposit exception
- Month of publication
- July
- Year of publication
- 2018
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
4
- Research group(s)
-
1 - Artificial Intelligence (AI)
- Citation count
- 6
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Published in one of the leading IEEE Transactions, this paper has been equipped with two distinguishing features. 1) The state estimation problem has been, for the first time, studied for communication-based train control (CBTC) systems, where the effects of wireless communication and uncertain number of trains have been addressed. 2) More importantly, two novel optimization problems have been introduced to achieve two different performance requirements, respectively. It is expected that such a state estimation approach would have an industrial impact as it can effectively improve the accuracy of train positioning and the availability of CBTC systems.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
