Some mathematical programming-based models for a simplified evaluation of the capacity of railway networks

In this master's thesis, two similar models that have recently appeared in the literature aimed at establishing sets of constraints that incorporate basic variables of flow or number of circulations on elements of a railway network are analyzed and extended to the case of networks with a genera...

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Detalles Bibliográficos
Autor: García Muñoz, Fernando Esteban|||0000-0001-9376-4357
Tipo de recurso: tesis de maestría
Fecha de publicación:2018
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/118516
Acceso en línea:https://hdl.handle.net/2117/118516
Access Level:acceso abierto
Palabra clave:Programming (Mathematics)
Railway system
Capacity analysis
Programació (Matemàtica)
Classificació AMS::90 Operations research, mathematical programming::90C Mathematical programming
Àrees temàtiques de la UPC::Matemàtiques i estadística::Investigació operativa::Optimització
Descripción
Sumario:In this master's thesis, two similar models that have recently appeared in the literature aimed at establishing sets of constraints that incorporate basic variables of flow or number of circulations on elements of a railway network are analyzed and extended to the case of networks with a general configuration. The potential of these models consists of their ability to give estimates of maximum flows in the network. Also, these proposed models provide capacity estimates following different methodologies that allow finding either a rank of the maximum capacity or a pointwise estimate value; a remarkable characteristic is that the congestion level that may be reached in the network is included as part of the modelling process. The approaches are tested in two networks of different size to study the influence of the operational conditions, dwell times, headway time and infrastructure over a railway system.