A Survey-based Approach for Selecting the Stations and Links for a Rapid Transit Network

In this work we present the first stage of a two-stage approach for designing rapid transit networks, where the stations and links to be constructed are selected by solving an integer linear optimization model that maximizes an estimation of the number of trips through the rapid transit network. It...

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Main Authors: L.F. Escudero, S. Muñoz
Format: Article
Language:English
Published: Springer 2014-06-01
Series:International Journal of Computational Intelligence Systems
Subjects:
Online Access:https://www.atlantis-press.com/article/25868496.pdf
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author L.F. Escudero
S. Muñoz
author_facet L.F. Escudero
S. Muñoz
author_sort L.F. Escudero
collection DOAJ
description In this work we present the first stage of a two-stage approach for designing rapid transit networks, where the stations and links to be constructed are selected by solving an integer linear optimization model that maximizes an estimation of the number of trips through the rapid transit network. It is based on the first stage of another approach that we described elsewhere. Instead of considering a static origin-destination matrix, we propose a novel way of computing the expected number of trips by making use of the results from a survey amongst the potential users of the rapid transit network. We also report some computational experiments on several randomly generated instances. In the second stage of the approach, a set of lines is generated for the rapid transit network.
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spelling doaj.art-9934b08eea01439c8b2d13054ac4f7dc2022-12-22T01:56:20ZengSpringerInternational Journal of Computational Intelligence Systems1875-68832014-06-017310.1080/18756891.2013.870753A Survey-based Approach for Selecting the Stations and Links for a Rapid Transit NetworkL.F. EscuderoS. MuñozIn this work we present the first stage of a two-stage approach for designing rapid transit networks, where the stations and links to be constructed are selected by solving an integer linear optimization model that maximizes an estimation of the number of trips through the rapid transit network. It is based on the first stage of another approach that we described elsewhere. Instead of considering a static origin-destination matrix, we propose a novel way of computing the expected number of trips by making use of the results from a survey amongst the potential users of the rapid transit network. We also report some computational experiments on several randomly generated instances. In the second stage of the approach, a set of lines is generated for the rapid transit network.https://www.atlantis-press.com/article/25868496.pdfStation and Link LocationTransportation SystemsSurveyDegree of a NodeOptimization
spellingShingle L.F. Escudero
S. Muñoz
A Survey-based Approach for Selecting the Stations and Links for a Rapid Transit Network
International Journal of Computational Intelligence Systems
Station and Link Location
Transportation Systems
Survey
Degree of a Node
Optimization
title A Survey-based Approach for Selecting the Stations and Links for a Rapid Transit Network
title_full A Survey-based Approach for Selecting the Stations and Links for a Rapid Transit Network
title_fullStr A Survey-based Approach for Selecting the Stations and Links for a Rapid Transit Network
title_full_unstemmed A Survey-based Approach for Selecting the Stations and Links for a Rapid Transit Network
title_short A Survey-based Approach for Selecting the Stations and Links for a Rapid Transit Network
title_sort survey based approach for selecting the stations and links for a rapid transit network
topic Station and Link Location
Transportation Systems
Survey
Degree of a Node
Optimization
url https://www.atlantis-press.com/article/25868496.pdf
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