PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Issues on Simulation of the Railway Rolling Stock Operation Process – A System and Literature Review

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Railway traffic simulation, taking into account operation and maintenance conditions, is not a new issue in the literature. External effects in such networks (e.g. level crossings) were not taken into account in studies. The used models do not take into account sufficiently the process of degradation and recovery of the network. From the technical side, currently carried out simulations are made using similar approaches and techniques as in the initial stage of research. Well-established work in this area could be the basis for evaluation of new solutions. However, the progress in simulation tools during the last years, especially in performance and programming architecture, attempts to create a modern simulation tool. In the paper were presented the main assumptions for the evaluated event-based simulation method, with application to stiff-track transportation networks.
Rocznik
Strony
49--60
Opis fizyczny
Bibliogr. 65 poz., rys.
Twórcy
autor
  • Wroclaw University of Science and Technology, Poland
autor
  • Wroclaw University of Science and Technology, Poland
Bibliografia
  • [1] Acuna-Agost, R., Michelon, P., Feillet, D., Gueye, S.: SAPI: Statistical Analysis of Propagation of Incidents. A new approach for rescheduling trains after disruptions. European Journal of Operational Research, Vol. 215, ELSEVIER 2011
  • [2] Bach, L., Gendreau, M., Wohlk, S.: Freight railway operator timetabling and engine scheduling. In: European Journal of Operational Research. March 1, 2015, Vol. 241 Is-sue 2, p309, 11 p.; Elsevier B.V.
  • [3] Cacchiani, V., Toth, P.: Nominal and robust train timetabling problems. Feature Clus-ters, European Journal of Operational Research. 16 June 2012 219(3):727-737
  • [4] Caimi, G., Fuchsberger, M., Laumanns, M., Lüthi, M.: A model predictive control approach for discrete-time rescheduling in complex central railway station areas. Computers & Operations Research, Vol 39, ELSEVIER 2012
  • [5] Canca, D., Barrena, E., Algaba, E., Zarzo, A.: Design and analysis of demand-adapted railway timetables. Journal of Advanced Transportation. Mar2014, Vol. 48 Issue 2
  • [6] Chen, MM., Niu, HM.: Optimizing Schedules of Rail Train Circulations by Tabu Search Algorithm. MATHEMATICAL PROBLEMS IN ENGINEERING. 2013
  • [7] Cicerone, S., D’Angelo, G., Di Stefano, G., Frigioni, D., Navarra, A.: Delay management problem: complexity results and robust algorithms. In: Proceedings of the 2nd annual international conference on combinatorial optimization and applications, COCOA’08. Lecture notes in computer science 2008, vol 5165. pp 458–468
  • [8] Corman, F., Goverde, RMP, D’Ariano, A.: Rescheduling dense train traffic over complex station interlocking areas. In: Ahuja RK 2009
  • [9] Dicembre, A., Ricci, S.: Railway traffic on high density urban corridors: Capacity, signalling and timetable. Journal of Rail Transport Planning and Management. December 2011, 1(2):59-68
  • [10] Ding, Y.: Simulation model and algorithm for train speed regulation in disturbed operat-ing condition. ZEV Rail 10/2011
  • [11] Enjalbert, S., Vanderhaegen, F., Pichon, M., Ouedraogo, K.A., Millot, P.: Assessment of Transportation System Resilience. Human Modelling in Assisted Transportation, Springer 2011
  • [12] Grube P., Núñez F., Cipriano A., An event-driven simulator for multi-line metro systems and its application to Santiago de Chile metropolitan rail network, Simulation Modelling Practice and Theory, vol. 19, ELSEVIER 2011
  • [13] Hansen, I., Pachl, J.: Railway timetable and traffic: analysis-modelling- simulation. Eurailpress, Zagreb Kliewer N, Suhl L (2011) A note on the online nature of the railway delay management problem 2008. Networks 57(1):28–37
  • [14] Hanafi, R., Kozan, E.: A hybrid constructive heuristic and simulated annealing for rail-way crew scheduling. Computers & Industrial Engineering. April 2014 70:11-19
  • [15] Ho, T.-K., He, Y.: Evaluation on service quality of railway timetable. Proceedings of the Conference on Traffic and Transportation Studies. ICTTS, 2008, 322:688-696
  • [16] Huisman, D., Wagelmans, A.P.M.: A solution approach for dynamic vehicle and crew scheduling. European Journal of Operational Research. 16 July 2006, 172(2):453-471
  • [17] Jodejko-Pietruczuk, A., Plewa, M..: Reliability based model of the cost effective product reusing policy. Safety and Reliability: Methodology and Applications - Proceedings of the European Safety and Reliability Conference. ESREL 2014 pp. 1243-1248
  • [18] Jodejko-Pietruczuk A, Werbińska-Wojciechowska S. Block inspection policy for non-series technical objects. Safety, reliability and risk analysis: beyond the horizon, Steen-bergen, RDJM; VanGelder, PHAJM; Miraglia, S; et al. (eds.), Proc. of 22nd Annual Conference on European Safety and Reliability (ESREL) 2013, Amsterdam, NETHERLANDS, SEP 29-OCT 02, 2013, pp. 889-898, 2014.
  • [19] Jutte, S., Thonemann, UW.: Divide-and-price: A decomposition algorithm for solving large railway crew scheduling problems. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH. JUN 1, 2012; 219; 2; p214-p223
  • [20] Ke, B.R., Lin, C.L., Chien, H.H., Chiu, H.W., Chen, N.: A new approach for improving the performance of freight train timetabling of a single-track railway system. Transportation Planning & Technology. Mar2015, Vol. 38 Issue 2, p238-264, 27p. Publisher: Taylor & Francis Ltd.
  • [21] Kierzkowski A., Kisiel T. The simulation model of logistic support for functioning ground handling agent, taking into account the probabilistic time of aircrafts arrival. Clc 2013: Carpathian Logistics Congress - Congress Proceedings. pp: 463-469
  • [22] Kierzkowski A., Method for management of an airport security control system, Proceedings of the Institution of Civil Engineers - Transport (2016), http://dx.doi.org/10.1680/jtran.16.00036
  • [23] Kierzkowski A., Kisiel T., Simulation model of security control system functioning: A case study of the Wroclaw Airport terminal, Journal of Air Transport Management (2016), http://dx.doi.org/10.1016/j.jairtraman.2016.09.008
  • [24] Kisiel T., Valis D., Zak L. Application of regression function - two areas for technical system operation assessment. Clc 2013: Carpathian Logistics Congress - Congress Proceedings. pp: 500-505
  • [25] Kowalski M., Magott J., Nowakowski T., Werbińska-Wojciechowska S. Exact and approximation methods for dependability assessment of tram systems with time window. European Journal of Operational Research, vol. 235, Issue: 3, pp. 671-686, 2014
  • [26] Kroon, L., Huisman, D.: Algorithmic Support for Railway Disruption Management. Transitions Towards Sustainable Mobility Part 3. SpringerVerlag 2011
  • [27] Larsen, R., Pranzo, M.: A framework for dynamic rescheduling problems. Tech. Rep. 2012–01, Dip. Ingegneriadell’Informazione 2012. University of Siena
  • [28] Liebchen, C., et al.: Computing delay resistant railway timetables. Computers & Opera-tions Research. Vol. 37, ELSEVIER 2010
  • [29] Lu Q., Dessouky M., Leachman R., Modeling train movements through complex rail networks, ACM Transactions on Modeling and Computer Simulation 14 (1) (2004) [Lus 2011] Lusby R, Larsen J, Ehrgott M, Ryan D (2011) Railway track allocation: models and methods. OR Spectr 33(4):843–883
  • [30] Lusby, R., Larsen, J., Ehrgott, M., Ryan, D.: Railway track allocation: models and methods. OR Spectr 33(4):843–883, 2011
  • [31] Maher, SJ., Desaulniers, G., Soumis, F.: Recoverable robust single day aircraft maintenance routing problem. Computers and Operations Research. November 2014
  • [32] Nowakowski, T.; Werbinska-Wojciechowska, S. Data gathering problem in decision support system for means of transport maintenance processes performance development. Safety, reliability and risk analysis: beyond the horizon, Steenbergen, RDJM; VanGelder, PHAJM; Miraglia, S; et al. (eds.), Proc. of 22nd Annual Conference on European Safety and Reliability (ESREL) 2013, Amsterdam, NETHERLANDS, SEP 29-OCT 02, 2013, pp. 899-907, 2014.
  • [33] Nowakowski T., Werbińska-Wojciechowska, S.: On problems of multicomponent sys-tem maintenance modelling. International Journal of Automation and Computing. 2009, vol. 6 nr 4
  • [34] Olsson, N., Haugland, H.: Influencing factors on train punctuality – results from some Norwegian studies. Transport Policy. Vol. 11, ELSEVIER 2004
  • [35] Ouelhadj, D., Petrovic, S.: A survey of dynamic scheduling in manufacturing systems. J Sched 12(4):417–431. 2009
  • [36] Papadakos, N.: Integrated airline scheduling. Part Special Issue: Operations Research Approaches for Disaster Recovery Planning, Computers and Operations Research. 2009 36(1):176-195
  • [37] Pender, B., Currie, G., Delbosc, A., Shiwakoti, N.: Disruption Recovery in Passenger Railways International Survey. TRANSPORTATION RESEARCH RECORD. 2013; 2353; p22-p32
  • [38] Pauzère-Pérès, S., De Almeida, D., Guyon, O., Benhizia, F.: A Lagrangian heuristic framework for a real-life integrated planning problem of railway transportation re-sources. Transportation Research Part B: Methodological. April 01, 2015, 74:138-150, Elsevier Ltd
  • [39] Pouryousef H., Lautala P., Hybrid simulation approach for improving railway capacity and train schedules, Journal of Rail Transport Planning & Management 5, ELSEVIER 2015
  • [40] Restel F.J.: Concept of railway transportation system resilience - an introduction. (2016) Safety and reliability of complex engineered systems [Dokument elektroniczny : proceedings of the 25th European Safety and Reliability Conference, ESREL 2015, Zurich, Switzerland, 7-10 September 2015 / eds. Luca Podofillinii in.]. Boca Raton [i in.] : CRC Press/Balkema, cop. 2015. s. 565-572
  • [41] Rietveld, P., Bruinsma, F.R., van Vuuren, D.J.: Coping with unreliability in public transport chains: a case study for Netherlands. Transportation Research Part A. Vol. 35, PERGAMON 2001
  • [42] Schachtebeck, M, Schobel, A.: To wait or not to wait and who goes first? Delay management with priority decisions. TranspSci 44(3):307–321, 2010
  • [43] Schöbel, A., Maly, T.: Operational fault states in railways. European Transportation Re-search Review. Springer published online 18.01.2012
  • [44] Serafini, P., Ukovich, W.: A mathematical model for periodic event scheduling problems. SIAM Journal on Discrete Mathematics. 2 (1989) 550– 581
  • [45] Shen, Y., Peng, K., Chen, K., Li, J.: Evolutionary crew scheduling with adaptive chromosomes. Transportation Research Part B. October 2013 56:174-185
  • [46] Törnquist, J., Persson, J.A.: N-tracked railway traffic re-scheduling during disturbances. Transportation Research Part B. Vol. 41, ELSEVIER 2007
  • [47] Törnquist-Krasemann J.: Design of an effective algorithm for fast response to the re-scheduling of railway traffic during disturbances. Transportation Research Part C. Vol. 20, ELSEVIER 2012
  • [48] Yasmina Hani, Lionel Amodeo, Farouk Yalaoui, Haoxun Chen, Simulation based optimization of train maintenance facility, DOI 10.1007/s10845008-0082-8
  • [49] Vromans, M.: Reliability of Railway Systems. TRAIL Thesis series T2005/7, The Neth-erlands TRAIL Research School 2005
  • [50] Węgierski, J.: Metody probabiistyczne w projektowaniu transportu szynowego. Wydawnictwaomunikaciiącznoci arszawa 1971
  • [51] Wendler, E.: The scheduled waiting time on railway lines. Transportation Research Part B. Vol. 41, ELSEVIER 2007
  • [52] Werbiska-Wojciechowska S., Zając P. Use of delay-time concept in modelling process of technical and logistics systems maintenance performance. Case study. Eksploatacja i iezawodno - Maintenance and Reliability. 2015, vol. 17, Issue 2, s. 174-185
  • [53] Zajac, M., Swieboda, J. , Analysis of reshuffling cost at a container terminal, Advances in Intelligent Systems and Computing 470, pp. 491503. DOI 10.1007/978-3-319-39639-2_43
  • [54] Potthoff G., Teoria potoków ruchu Warszawa 1973
  • [55] Węgierski J., Metody probabiistyczne w proektowaniu transportu szynowego Warszawa 1971
  • [56] Wales J., Marinov M., Analysis of delays and delay mitigation on a metropolitan rail network using event based simulation, Simulation Modelling Practice and Theory, vol. 52, ELSEVIER 2015
  • [57] Grube P., Núñez F., Cipriano A., An event-driven simulator for multi-line metro systems and its application to Santiago de Chile metropolitan rail network, Simulation Modelling Practice and Theory, vol. 19, ELSEVIER 2011
  • [58] Lu Q., Dessouky M., Leachman R., Modeling train movements through complex rail networks, ACM Transactions on Modeling and Computer Simulation 14 (1) (2004).
  • [59] Marinov M., Viegas J., A mesoscopic simulation modelling methodology for analyzing and evaluating freight train operations in a rail network, Simulation Modelling Practice and Theory, vol. 19, ELSEVIER 2011
  • [60] Abbott D., Marinov M., An event based simulation model to evaluate the design of a rail interchange yard, which provides service to high speed and conventional railways, Simulation Modelling Practice and Theory, vol. 52, ELSEVIER 2015
  • [61] Núñez F., Reyes F., Grube P., Cipriano A., Simulating Railway and Metropolitan Rail Networks: From Planning to On-Line Control, IEEE Intelligent Transportation Systems Magazine, vol. 30, 2010, Digital Object Identifier 10.1109/MITS.2010.939923
  • [62] Cui Y., Martin U., Zhao W., Calibration of disturbance parameters in railway operational simulation based on reinforcement learning, Journal of Rail Transport Planning & Management, vol. 6, ELSEVIER 2016
  • [63] Sajedinejad A., Mrdani S., Hasannayebi E., SIMARAIL: Simulation Based Optimization Software for scheduling Railway Network, Proceedings of the 2011 Winter Simulation Conference
  • [64] Xu Xiao-Ming, Li Ke-Ping, Yang Li_Xing, Discrete event model-based simulation for train movement on a single-line railway, Vol. 23, No. 8 (2014), DOI: 10.1088/1674-1056/23/8/080205
  • [65] Vale C., Ribeiro I., Railway condition-based maintenance model with stochastic deterioration, Journal of Civil Engineering and Management, 20:5, 686-692, DOI: 10.3846/13923730.2013.802711
Uwagi
PL
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-169011ed-44c7-4498-b7d1-64de8cf748ed
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.