Abstract
The traffic schedule is planned to keep distances between trains which allow a conflict-free train operation. For this reason the load of the power supply system is distributed in time. In consequence, the power limit is not exceeded. After unwanted event occurring, the traffic structure may change in such a way that an accumulation of section load can occur. As a result, the power limit can be exceeded and the electricity system may be damaged. Therefore, the main goal of the paper is to elaborate a method for railway timetable evaluation due to random power infrastructure load, caused by undesirable events. To reach the goal, a literature review was performed in terms of timetable evaluation, buffer times, undesirable events, system resilience and robustness. A method based on transportation mean movement theory with probability issues was proposed. The method was verified on a timetable for a selected railway line in Poland. Tractive calculations in terms of the electric power consumption were carried out. Using the method, critical situations were identified and changes were proposed. The paper ends with a discussion of the method and further research.
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References
Andersson, E., Peterson, A., Krasemann, T.J.: Quantifying railway timetable robustness in critical points. J. Rail Transp. Plan. Manag. 3, 95–110 (2013). https://doi.org/10.1016/j.jrtpm.2013.12.002
Attachment to Resolution of 16 July 2018 No. 566/2018, PKP Polish Railway Lines
Burggraeve, S., Bull, S.H., Vansteenwegen, P., Lusby, R.M.: Integrating robust timetabling in line plan optimization for railway systems. Transp. Res. Part C 77, 134–160 (2017). https://doi.org/10.1016/j.trc.2017.01.015
Burggraeve, S., Vansteenwegen, P.: Robust routing and timetabling in complex railway stations. Transp. Res. Part B 101, 228–244 (2017). https://doi.org/10.1016/j.trb.2017.04.007
Chao, L., Jinjin, T., Leishan, Z., Yixiang, Y., Zhitong, H.: Improving recovery to optimality robustness through efficiency-balanced design of timetable structure. Transp. Res. Part C 85, 184–210 (2017). https://doi.org/10.1016/j.trc.2017.09.015
Guze, S.: Business availability indicators of critical infrastructures related to the climate-weather change. In: Zamojski, W., Mazurkiewicz, J., Sugier, J., Walkowiak, T., Kacprzyk, J. (eds.) Contemporary Complex Systems and Their Dependability. Advances in Intelligent Systems and Computing, vol. 761. Springer (2018). https://doi.org/10.1007/978-3-319-91446-6_24
Guze, S.: An application of the selected graph theory domination concepts to transportation networks modelling. Sci. J. Marit. Univ. Szczecin 52(124), 97–102 (2017)
Ghaemia, N., Zilko, A., Yan, F., Cats, O., Kurowicka, D., Goverde, R.: Impact of railway disruption predictions and rescheduling on passenger delays. J. Rail Transp. Plan. Manag. 8, 103–122 (2018). https://doi.org/10.1016/j.jrtpm.2018.02.002
Kierzkowski, A., Kisiel, T.: A model of check-in system management to reduce the security checkpoint variability. Simul. Model. Pract. Theory 74, 80–98 (2017). https://doi.org/10.1016/j.simpat.2017.03.002
Kierzkowski, A., Kisiel, T.: Simulation model of security control system functioning: a case study of the Wroclaw Airport terminal. J. Air Transp. Manag. Part B 64, 173–185 (2017). https://doi.org/10.1016/j.jairtraman.2016.09.008
Kroon, L.G., Dekker, R., Vromans, M.J.C.M.: Cyclic railway timetabling: a stochastic optimization approach. In: Algorithmic Methods for Railway Optimization, vol. 4359, pp. 41–66. Springer, Berlin (2007). https://doi.org/10.1007/978-3-540-74247-0_2
Kwaśnikowski, J.: Elementy teorii ruchu i racjonalizacja prowadzenia pociągu. Wydawnictwo Naukowe Instytutu Technologii Eksploatacji, Radom (2013)
Lusby, R., Larsen, J., Bull, S.: A survey on robustness in railway planning. Eur. J. Oper. Res. 266, 1–15 (2017). https://doi.org/10.1016/j.ejor.2017.07.044
Madej, J.: Teoria ruchu pojazdów szynowych. Oficyna Wydawnicza Politechniki Warszawskiej, Warszawa (2012)
Podoski, J., Kacprzak, J., Mysłek, J.: Zasady Trakcji Elektrycznej. Wydawnictwa Komunikacji i Łączności, Warszawa (1980)
Salido, M.A., Barber, F., Ingolotti, L.: Robustness in railway transportation scheduling. In: 7th World Congress on Intelligent Control and Automation, Chongqing, China, pp. 2880–2885 (2008). https://doi.org/10.1109/wcica.2008.4594481
Skupień, E., Tubis, A.: The use of linguistic variables and the FMEA analysis in risk assessment in inland navigation. Int. J. Mar. Navig. Saf. Sea Transp. 12, 143–148 (2018). https://doi.org/10.12716/1001.12.01.16
Solinen, E., Nicholson, G., Peterson, A.: A microscopic evaluation of railway timetable robustness and critical points. J. Rail Transp. Plan. Manag. 7, 207–223 (2017). https://doi.org/10.1016/j.jrtpm.2017.08.005
Takeuchi, Y., Tomii, N.: Robustness indices for train rescheduling. In: Proceedings of the 1st International Seminar on Railway Operations Modelling and Analysis, Netherlands (2005)
Tubis, A., Gruszczyk, A.: Measurement of punctuality of services at a public transport company. In: Carpathian Logistics Congress, Jesenik, Czech Republic, pp. 512–517 (2015)
Tubis, A.: Route risk assessment for road transport companies. In: Contemporary Complex Systems and their Dependability, vol. 761, pp. 492–503. Springer, Cham (2019). https://doi.org/10.1007/978-3-319-91446-6_46
Walkowiak, T., Mazurkiewicz, J.: Analysis of critical situations in discrete transport systems. In: Proceedings of DepCoS - RELCOMEX 2009, Brunów, Poland, pp. 364–371 (2009), https://doi.org/10.1109/depcos-relcomex.2009.39
Walkowiak, T., Mazurkiewicz, J.: Soft computing approach to discrete transport system management. LNCS. LNAI, vol. 6114, pp. 675–682 (2010). https://doi.org/10.1007/978-3-642-13232-2_83
Wyrzykowski, W.: Ruch kolejowy. Wydawnictwa Komunikacji, Warszawa (1954)
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Haładyn, S., Restel, F.J., Wolniewicz, Ł. (2020). Method for Railway Timetable Evaluation in Terms of Random Infrastructure Load. In: Zamojski, W., Mazurkiewicz, J., Sugier, J., Walkowiak, T., Kacprzyk, J. (eds) Engineering in Dependability of Computer Systems and Networks. DepCoS-RELCOMEX 2019. Advances in Intelligent Systems and Computing, vol 987. Springer, Cham. https://doi.org/10.1007/978-3-030-19501-4_23
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