Browse by author
Lookup NU author(s): Dr Ken Pierce, Dr Anirban Bhattacharyya, Dr David GolightlyORCiD, Dr Pedro Pinto da Silva, Professor Roberto Palacin, Ziqi Guo
This is the authors' accepted manuscript of a conference proceedings (inc. abstract) that has been published in its final definitive form by Society for Modeling & Simulation International (SCS), 2024.
For re-use rights please refer to the publisher's terms and conditions.
A major issue in railway performance is delay propagation, caused by reactionary delays due to interference between trains. On congested networks, driver performance is a key element affecting delays. Time Signal at Red (TSAR) is a performance metric with a fine level of granularity that provides insight into performance. We present an initial co-simulation of a section of railway in Great Britain, the Surbiton to Weybridge line near London, that includes high-fidelity physics models of trains, models of drivers with individual behavior characteristics, and a model of a signalling system. The co-simulation generates TSAR data, which demonstrates the impact of driver behavior and interference between trains on performance. The simulated TSAR data is compared with real data, which shows qualitatively the potential of the approach. Future work will include improvements to the driver model, a quantitative validation of the simulation results with the real data, and extension of the co-simulation to include other models with complementary characteristics.
Author(s): Pierce K, Bhattacharyya A, Golightly D, Pinto da Silva P, Merricks S, Palacin R, Guo Z
Editor(s): Giabbanelli, P; David, I; Ruiz-Martin, C; Oakes, B; Cárdenas, R
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: Annual Modeling and Simulation Conference (ANNSIM’24)
Year of Conference: 2024
Online publication date: 23/05/2024
Acceptance date: 05/03/2024
Date deposited: 10/05/2024
Publisher: Society for Modeling & Simulation International (SCS)
URL: https://annsim.org/
ePrints DOI: 10.57711/s1ac-nc72
