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Train scheduling modeling and optimization on railways network

Gianmarco Garrisi

Train scheduling modeling and optimization on railways network.

Rel. Monica Visintin. Politecnico di Torino, Corso di laurea magistrale in Ict For Smart Societies (Ict Per La Società Del Futuro), 2019

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Document access: Repository staff only not before 25 October 2020 (embargo date).
Licenza: Creative Commons Attribution Non-commercial No Derivatives.

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Abstract:

In this work, a mathematical formulation of the train scheduling problem is provided as a Mixed Integer Linear Program(MILP). Typically, the programs can be solved for easy cases, but computation time makes it impractical for more complex examples. Then a genetic algorithm is employed in the solution of the problem, with heuristic techniques to generate an initial population. The algorithm is applied to a number of problem instances producing feasible, though not optimal, solutions in less then one minute on a laptop computer. Some improvements are suggestedto obtain better results and further reduce the computation time.

Relators: Monica Visintin
Academic year: 2019/20
Publication type: Electronic
Number of Pages: 54
Subjects:
Corso di laurea: Corso di laurea magistrale in Ict For Smart Societies (Ict Per La Società Del Futuro)
Classe di laurea: New organization > Master science > LM-27 - TELECOMMUNICATIONS ENGINEERING
Ente in cotutela: UPC - ETSETB - Universitat Politecnica de Catalunya (SPAGNA)
Aziende collaboratrici: UNSPECIFIED
URI: http://webthesis.biblio.polito.it/id/eprint/12570
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