Models and algorithms for transit network planning

The efficiency of urban transport system strongly relies on the transit network planning process that is commonly complex because of the number of related decisions. Usually this process is divided into several subproblems such as line planning, timetable generation, vehicle scheduling, and crew...

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Autor principal: Ibarra Rojas, Omar Jorge
Formato: Tesis
Lenguaje:Spanish / Castilian
Publicado: 2012
Acceso en línea:http://eprints.uanl.mx/2984/1/1080256748.pdf
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author Ibarra Rojas, Omar Jorge
author_facet Ibarra Rojas, Omar Jorge
author_sort Ibarra Rojas, Omar Jorge
collection Tesis
description The efficiency of urban transport system strongly relies on the transit network planning process that is commonly complex because of the number of related decisions. Usually this process is divided into several subproblems such as line planning, timetable generation, vehicle scheduling, and crew scheduling which are solved sequentially to obtain an entire solution. In this study we focus on timetabling problems based on the transit network of Monterrey, Mexico. The characteristics present in this network lead to the Synchronization Bus Timetabling Problem (SBT) with the objective of maximize the number of synchronization events between different lines to allow well timed passenger transfers and avoid bus bunching. We design a mixed integer linear programming formulation (MILP) for SBT considering constraints such as bounds of separation times between consecutive trips and departure time dispersion along the planning period. We prove that SBT is NP-hard. Nevertheless, the mathematical structure of SBT MILP allow to define a preprocessing stage based on constraint propagation leading to the elimination of a high percentage of decision variables and constraints
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spelling eptesis-29842023-04-18T20:05:37Z http://eprints.uanl.mx/2984/ Models and algorithms for transit network planning Ibarra Rojas, Omar Jorge The efficiency of urban transport system strongly relies on the transit network planning process that is commonly complex because of the number of related decisions. Usually this process is divided into several subproblems such as line planning, timetable generation, vehicle scheduling, and crew scheduling which are solved sequentially to obtain an entire solution. In this study we focus on timetabling problems based on the transit network of Monterrey, Mexico. The characteristics present in this network lead to the Synchronization Bus Timetabling Problem (SBT) with the objective of maximize the number of synchronization events between different lines to allow well timed passenger transfers and avoid bus bunching. We design a mixed integer linear programming formulation (MILP) for SBT considering constraints such as bounds of separation times between consecutive trips and departure time dispersion along the planning period. We prove that SBT is NP-hard. Nevertheless, the mathematical structure of SBT MILP allow to define a preprocessing stage based on constraint propagation leading to the elimination of a high percentage of decision variables and constraints 2012 Tesis NonPeerReviewed text es cc_by_nc_nd http://eprints.uanl.mx/2984/1/1080256748.pdf http://eprints.uanl.mx/2984/1.haspreviewThumbnailVersion/1080256748.pdf Ibarra Rojas, Omar Jorge (2012) Models and algorithms for transit network planning. Doctorado thesis, Universidad Autónoma de Nuevo León.
spellingShingle Ibarra Rojas, Omar Jorge
Models and algorithms for transit network planning
thumbnail https://rediab.uanl.mx/themes/sandal5/images/tesis.png
title Models and algorithms for transit network planning
title_full Models and algorithms for transit network planning
title_fullStr Models and algorithms for transit network planning
title_full_unstemmed Models and algorithms for transit network planning
title_short Models and algorithms for transit network planning
title_sort models and algorithms for transit network planning
url http://eprints.uanl.mx/2984/1/1080256748.pdf
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