Methods and tools to help strategic network design in public transportation
type: Dataset
description: We propose methods and tools to help strategic network designing dedicated to public transportation in urban environment. This class of poblems can fit into a larger framework : mobility network design problems. First, we survey network design problems. Then, we formalize the concept of mobility network design problems with elastic demand varying with the quality of service. We present various modeling and extensions that we studied on small instances with exact resolution. We solve bigger instances with GRASP and Tabu Metaheuristics. We use a partcular route description named "geodesic". We also use an approximation of the objective function to significantly accelerate its evaluation. The last method involves Benders'sheme. In the appendices, we propose design paterns based on generic programming that aim to design both flexible and efficient software components. We also present a coupling method between optimization and simulation named "model enhancement"
landing page: https://theses.hal.science/tel-00670633
identifier: NNT: 2005CLF21586
keyword: geodesiques-mathematiques
keyword: infoeu-reposemanticsdoctoralthesis
keyword: infoinfo-nicomputer-science-csnetworking-and-internet-architecture-csni
keyword: optimisation-combinatoire
keyword: simulation-par-ordinateur
keyword: theses
issued: 2026-05-28T13:18:11.268943
modified: 2026-05-28T13:18:11.268948
language: fr
contact point: Organization
  fn: CCSD

test_moissonnage_selune
type: Agent

Methods and tools to help strategic network design in public transportation
type: Distribution
format: HTML
access URL: https://theses.hal.science/tel-00670633
issued: 2026-05-28T13:18:11.330265
modified: 2026-05-28T13:18:11.252230