Literatura académica sobre el tema "Periodic train timetabling"

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Artículos de revistas sobre el tema "Periodic train timetabling"

1

Zhou, Wenliang, Xiaorong You y Wenzhuang Fan. "A Mixed Integer Linear Programming Method for Simultaneous Multi-Periodic Train Timetabling and Routing on a High-Speed Rail Network". Sustainability 12, n.º 3 (5 de febrero de 2020): 1131. http://dx.doi.org/10.3390/su12031131.

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To avoid conflicts among trains at stations and provide passengers with a periodic train timetable to improve service level, this paper mainly focuses on the problem of multi-periodic train timetabling and routing by optimizing the routes of trains at stations and their entering time and leaving time on each chosen arrival–departure track at each visited station. Based on the constructed directed graph, including unidirectional and bidirectional tracks at stations and in sections, a mixed integer linear programming model with the goal of minimizing the total travel time of trains is formulated. Then, a strategy is introduced to reduce the number of constraints for improving the solved efficiency of the model. Finally, the performance, stability and practicability of the proposed method, as well as the impact of some main factors on the model are analyzed by numerous instances on both a constructed railway network and Guang-Zhu inter-city railway; they are solved using the commercial solver WebSphere ILOG CPLEX (International Business Machines Corporation, New York, NY, USA). Experimental results show that integrating multi-periodic train timetabling and routing can be conducive to improving the quality of a train timetable. Hence, good economic and social benefits for high-speed rail can be achieved, thus, further contributing to the sustained development of both high-speed railway systems and society.
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2

Cacchiani, Valentina, Laura Galli y Paolo Toth. "A tutorial on non-periodic train timetabling and platforming problems". EURO Journal on Transportation and Logistics 4, n.º 3 (septiembre de 2015): 285–320. http://dx.doi.org/10.1007/s13676-014-0046-4.

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3

Zhou, Wenliang, Junli Tian, Lijuan Xue, Min Jiang, Lianbo Deng y Jin Qin. "Multi-periodic train timetabling using a period-type-based Lagrangian relaxation decomposition". Transportation Research Part B: Methodological 105 (noviembre de 2017): 144–73. http://dx.doi.org/10.1016/j.trb.2017.08.005.

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4

Jamili, A., M. A. Shafia, S. J. Sadjadi y R. Tavakkoli-Moghaddam. "Solving a periodic single-track train timetabling problem by an efficient hybrid algorithm". Engineering Applications of Artificial Intelligence 25, n.º 4 (junio de 2012): 793–800. http://dx.doi.org/10.1016/j.engappai.2012.01.020.

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5

Yao, Zhiyuan, Lei Nie, Yixiang Yue, Zhenhuan He, Yu Ke, Yuxin Mo y Hongda Wang. "Network periodic train timetabling with integrated stop planning and passenger routing: A periodic time–space network construct and ADMM algorithm". Transportation Research Part C: Emerging Technologies 153 (agosto de 2023): 104201. http://dx.doi.org/10.1016/j.trc.2023.104201.

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6

Bahramian, Zahra y Morteza Bagheri. "A simulation-based optimization approach for passenger train timetabling with periodic track maintenance and stops for praying". Journal of Modern Transportation 23, n.º 2 (junio de 2015): 148–57. http://dx.doi.org/10.1007/s40534-015-0077-z.

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7

Sartor, Giorgio, Carlo Mannino, Thomas Nygreen y Lukas Bach. "A MILP model for quasi-periodic strategic train timetabling". Omega, noviembre de 2022, 102798. http://dx.doi.org/10.1016/j.omega.2022.102798.

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8

Martin-Iradi, Bernardo y Stefan Ropke. "A column-generation-based matheuristic for periodic and symmetric train timetabling with integrated passenger routing". European Journal of Operational Research, mayo de 2021. http://dx.doi.org/10.1016/j.ejor.2021.04.041.

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