Sengupta, Monish;
(2024)
Location and speed estimation for telematic signalling in
railways.
Doctoral thesis (Ph.D), UCL (University College London).
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Abstract
This study considers the relationship between railway capacity and signalling systems. To increase railway capacity, signalling has been increased from two to four aspects, which can accommodate a maximum of 35 trains per hour. Although aspect signalling relies on fixed block control, the introduction of a moving block signalling system could achieve a capacity of 44 trains per hour. Achieving this would involve the introduction of telematic signalling systems (ERTMS and CBTC), which depend on the continuous and accurate measurement of the train location and speed. The current stopping accuracy required for a train is ± 1m on Britain’s mainline railway and ± 0.5m for London Underground. This is attributed mostly to the sensor fusion framework that is currently in place to obtain accurate train location and speed. In this thesis, a framework is developed based on the Kalman filter. This research shows that a linear Kalman filter fusing data from railway sensors such as Doppler radar, tachometers and wayside balise can provide good estimates of train location and speed. However, an unscented Kalman filter is capable of achieving more than four times better accuracy. The performance of these filters is investigated in the presence of wheel slip and slide, and instances of missing balise, leading to reduced capacity. In order to counter this, two adaptive sensor fusion frameworks are developed based on Magill’s filter bank and innovation tracking. Both are applied to linear and unscented Kalman filters which shows improved state estimation and stopping accuracy, hence capacity. Analysis shows that balise placement on the approach to the stopping point is important. Numerical results show that interception of a single balise reduces the location error well within the required range. Therefore, a maximum of two balises will serve the purpose with one as a backup.
| Type: | Thesis (Doctoral) |
|---|---|
| Qualification: | Ph.D |
| Title: | Location and speed estimation for telematic signalling in railways |
| Open access status: | An open access version is available from UCL Discovery |
| Language: | English |
| Additional information: | Copyright © The Author 2024. Original content in this thesis is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) Licence (https://creativecommons.org/licenses/by-nc/4.0/). Any third-party copyright material present remains the property of its respective owner(s) and is licensed under its existing terms. Access may initially be restricted at the author’s request. |
| Keywords: | Railway, sensor fusion, ERTMS, CBTC, Kalman filter |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Civil, Environ and Geomatic Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10197711 |
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