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CDP (2016) The rail technical strategy capability delivery plan. RSSB; Flammini F, Marrone S, Nardone R, Petrillo A, Santini S, Vittorini V (2019) Towards railway virtual coupling. https://www.doi.org/10.1109/ESARS-ITEC.2018.860752; Harriss L (2016) Moving block signaling. Houses of Parliament: parliamentary office of science and technology; Henke C, Tichy M, Schneider T, Bocker J, Schafer W (2008) Organization and control of autonomous railway convoys. In: 9th international symposium on advance vehicle control (AVEC) 6–9 Oct 2008. Kobe, Japan; HS2 (2011) Operational concept study. Technical note: HS2 capacity and reliability. SYSTRA; Hunyadi B (2011) Capacity evaluation for ERTMS (European rail traffic management system) Level 2 operation on HS2. Bombardier; Ke-Ping L, Li-Jia G (2009) Simulating train movement in railway traffic using a car-following model. Chinese Phys B. 18DOI:10.1088/1674-1056/18/6/015; Li K, Gao Z (2009) An improved equation model for the train movement. Simul Modell Pract Theory 15:1156–1162DOI:10.1016/j.simpat.2007.07.006; Li PK, Gao YZ (2011) An improved car-following model for railway traffic. J Adv Transp 47:475–482DOI:10.1002/atr.178; Li-Xing Y, Feng L, Zi-You G, Ke-Ping L (2010) Discrete-time movement model of a group of trains on a rail line with stochastic disturbance. Chin Phys B 19DOI:10.1088/1674-1056/19/10/100510; McNaughton A (2011) Signaling headways and maximum operational capacity on high speed two London to West Midlands Route; Ming XX, Ping KL, Xing LY (2014) Discrete event model-based simulation for train movement on a single-line railway. Chin Phys B Chin Phys Soc (IOP Publishing Ltd.) 23(8):080205; Mitchell I (2016) ERTMS Level 4, train convoys or virtual coupling. International technical committee report on topic 39. Institute of Railway Signal Engineers, IRSE news, Issue 219; Ning B (1998) Absolute braking and relative distance braking; train operation control modes in moving block systems. Computer in railway; transactions on the built environment. 34:991–1001; Rothery RW (1992) Car following models. In: Trac flow theory. Transportation research board. Special, report 165; Takeuchi H, Goodman JC, Sone S (2003) Moving block signaling dynamics: performance measures and re-starting queued electric trains. IEEE Proc-Electr Power Appl 150(4):483–492DOI:10.1049/ip-epa:20030258; Xuan et al (2013) Modelling and simulation of high-speed passenger train movements in the rail line; Yang L, Li F, Gao Z, Li K (2010) Discrete-time movement model of a group of trains on a rail line with stochastic disturbance. Chin Phys B 19(10):100510; Ye J, Li K, Jiang X (2015) Stability analysis of train movement with uncertain factors. Mathematical problems in engineering volume 2015. Hindawi Publishing Corporation, Article ID 230616DOI:10.1155/2015/230616; Zhao Y, Orlik P, Parsons K, Kataoka K, Nagy KT (2016) Improvement of train transportation performance by convoy signalling. Retrieved from http://dx.doi.org/10.1142/S0129183116500777DOI:10.1142/S0129183116500777;
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In this paper, a comparison between an analytic railway simulation and a simplified railway simulation based on a cellular automaton is shown. Using the obtained results, the track capacity behaviour with randomized dwell times is evaluated in the example of a suburban line. Subsequently, the stochastic influence on the average running time and the resulting delay is shown.
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<div class="BookChapter Publication short-list"> <div class="authors"> <span class="author-name" > Becker, Merlin </span> <span class="author-type"> </span> ; <span class="author-name" > Schreckenberg, Michael </span> <span class="author-type"> </span> </div ><div class="title"><a href="/gui2/?mode=browse¶ms=publication;30582033" mtid="30582033" target="_blank">Case Study: Influence of Stochastic Dwell Times on Railway Traffic Simulations</a></div> <div class="InBook">In: Arnaud, de La Fortelle (szerk.) <span class="booktitle"><a href="/gui2/?mode=browse¶ms=publication;30464895" target="_blank">2018 21ST INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC) </a></span > </div><div class="pub-info"> <span class="publishedAt">Piscataway (NJ), Amerikai Egyesült Államok : <span class="publisher">IEEE</span> <span class="year">(2018)</span> <span class="page"> pp. 1227-1233. , 7 p. </span> </div> <div class="pub-end"><div class="identifier-list"> <span class="identifiers"> <span class="id identifier oa_none" title="none"> <a style="color:black" title="10.1109/ITSC.2018.8569934" target="_blank" href="https://doi.org/10.1109%2FITSC.2018.8569934"> DOI </a> </span> <span class="id identifier oa_none" title="none"> <span class="isbnOrIssn"> ISSN: </span> <a style="color:black" title="2153-0009" target="_blank" href="https://portal.issn.org/resource/ISSN/2153-0009"> 2153-0009 </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:black" title="000457881301035" target="_blank" href="http://gateway.isiknowledge.com/gateway/Gateway.cgi?&GWVersion=2&SrcAuth=CustomerName&SrcApp=CustomerName&DestLinkType=FullRecord&KeyUT=000457881301035&DestApp=WOS"> WoS </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:black" title="https://ieeexplore.ieee.org/document/8569934/" target="_blank" href="https://ieeexplore.ieee.org/document/8569934/"> Egyéb URL </a> </span> </span> </div> <span class="short-pub-prop-list"> <span class="short-pub-mtid"> Közlemény:30582033 </span> <span class="status-holder"><span class="status-data status-APPROVED"> Nyilvános </span></span> <span class="pub-core"> Idéző</span> <span class="pub-type">Könyvrészlet (Konferenciaközlemény ) </span> <!-- && !record.category.scientific --> <span class="pub-category">Tudományos</span> </span> </div> </div><div class="BookChapter Publication long-list"> <div class="authors"> <img title="Idézőközlemény" style="float: left" src="/frontend/resources/grid/publication-citation-icon.png"> <div class="autype autype0"> <span class="author-name" >Becker Merlin </span> ; 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