Modelling the Traffic Prediction at the Direct Level of TMS Systems

[1] Abdulsalam Hamid, H., Nicholson, G.L. & Roberts, C. (2020). Impact of train positioning inaccuracies on railway traffic management systems: framework development and impacts on TMS functions. IET Intelligent Transport Systems 14(6), 534-544. DOI: 10.1049/ietits.2019.0503. Search in Google Scholar

[2] Správa železniční dopravní cesty, state organization. (2014). SŽDC D7 Regulation for operational traffic control. Search in Google Scholar

[3] Polach, V. (2021). Expansion of ASVC on the Czech Railways (In Czech). In Conference on Signaling and Safety Technology in Railways, 4-6 October 2021 (pp. 162-166). Olomouc, Czech Republic: Správa železnic, state organization. ISBN 978-80-907189-3-7. Search in Google Scholar

[4] Správa železnic, state organization. (2022). SŽ D1 Traffic and signalling regulations for lines not equipped with a European Train Control System by Corrigendum No 1 from 1 July 2022. Search in Google Scholar

[5] Správa železnic, state organization. (2023). Network Statement 2025. Search in Google Scholar

[6] Nachtigall, P. & Škárek, M. (2016). Railway infrastructure capacity management for ad-hoc trains on the SŽDC network. Acta Polytechnica CTU Proceedings 2016 (5), 44-46. DOI: 10.14311/APP.2016.5.0044. Search in Google Scholar

[7] Pachl, J. (2024). Railway Timetabling and Capacity (Edition 1.0). Braunschweig: Technical University Braunschweig. DOI: 10.24355/dbbs.084-202407090800-0. Search in Google Scholar

[8] Mladenovic, S., Veskovic, S., Branovic, I., Jankovic, S. & Acimovic, S. (2016). Heuristic based real-time train rescheduling system. Networks - An International Journal 67(1), 32-48. DOI: 10.1002/net.21625. Search in Google Scholar

[9] Hansen, I.A. (2011). Railway operations modelling and analysis: An introduction to the special issue. Transportation Planning and Technology 34(4), 297-299. DOI: 10.1080/03081060.2011.577149. Search in Google Scholar

[10] Li, F., Sheu, J.-B. & Gao Z.-Y. (2014). Deadlock analysis, prevention and train optimal travel mechanism in single-track railway system. Transportation Research Part B: Methodological 68, 385-414. DOI: 10.1016/j.trb.2014.06.014. Search in Google Scholar

[11] Mazzanti, F., Spagnolo, G.O., Della Longa, S. & Ferrari, A. (2014). Deadlock Avoidance in Train Scheduling: A Model Checking Approach. In 19th International Conference, FMICS 2014, 11-12 September 2014 (pp. 109-123). Florence, Italy: Springer International Publishing Switzerland. Search in Google Scholar

[12] TrafficSWing GTN (TMS CZ). Software. Search in Google Scholar

[13] Toletti, A., Laumanns, M. & Weidmann, U. (2019). Coordinated railway traffic rescheduling with the Resource Conflict Graph model. Journal of Rail Transport Planning & Management 15, 14. DOI: 10.1016/j.jrtpm.2019.100173. Search in Google Scholar

[14] Hansen, I.A. & Pachl, J. (2014). Railway Timetabling and Operations, second ed. Hamburg, Germany: DVV Media Group GmbH, Eurailpress. Search in Google Scholar

[15] D’Ariano, A. & Pranzo, M. (2004). A real-time train dispatching system based on the blocking time theory. In Proceedings of the 8th TRAIL Congress and Knowledge Market 2004, Selected Papers P2004/1, 23 November 2004 (pp. 129-152). Rotterdam, Netherlands: DUP Science, Delft. Search in Google Scholar

[16] Cacchiani, V., Huisman, D., Kidd, M., Kroon, L., Toth, P., Veelenturf, L. & Wagenaar, J. (2014). An overview of recovery models and algorithms for real-time railway rescheduling. Transportation Research Part B 63, 15–37. DOI: 10.1016/j.trb.2014.01.009. Search in Google Scholar

[17] Yang, F., Yang, Y., Ni, S., Liu, S., Xu, Ch., Chen, D. & Zhang, Q. (2023). Single-track railway scheduling with a novel gridworld model and scalable deep reinforcement learning. Transportation Research Part C 154, 36. DOI: 10.1016/j.trc.2023.104237. Search in Google Scholar

[18] Büker, T., Graffagnino, T., Hennig, E. & Kuckelberg, A. (2019). Enhancement of Blocking-time Theory to Represent Future Interlocking Architectures. EasyChair Preprint 897, 219-240. DOI: 10.29007/J33N. Search in Google Scholar

[19] Pachl, J. & White, T. (2004). Analytical Capacity Management with Blocking Times. In Transportation Research Board: 83rd Annual Meeting, 11-15 January 2004 (pp. 1-14). Braunschweig: Technical University Braunschweig. DOI: 10.24355/dbbs.084-200611210100-0. Search in Google Scholar

[20] Správa železnic, state organization. (2025, March). Railway capacity analyses. Retrieved March 27, 2025, from https://provoz.spravazeleznic.cz/Portal/ViewArticle.aspx?oid=2250512 Search in Google Scholar

[21] Vicherek, T. (2011). Principles of Traffic Intelligence in Automatic Train Route Setting (In Czech). In InfoTrans 2011, 28 April 2011 (pp. 153-160). Pardubice, Czech Republic: Universtiy of Pardubice. Search in Google Scholar

[22] Správa železniční dopravní cesty, state organization. (2013). SŽDC Directive No. 104 Operating intervals and subsequent intermediate periods. Search in Google Scholar

[23] Lüthi, M., Nash, A., Weidmann, U., Laube, F.B. & Wüst, R. (2007). Increasing Railway Capacity and Reliability through Integrated Real-Time Rescheduling. In 11th World Conference on Transport Research, 24-28 June 2007 (pp. 1-17). Berkeley, USA: Institute for Transport Planning and Systems, ETH Zurich. DOI: 10.3929/ethz-a-005704019. Search in Google Scholar