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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Format: | Article |
Language: | English |
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Springer
2014-06-01
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Series: | International Journal of Computational Intelligence Systems |
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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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format | Article |
id | doaj.art-9934b08eea01439c8b2d13054ac4f7dc |
institution | Directory Open Access Journal |
issn | 1875-6883 |
language | English |
last_indexed | 2024-12-10T08:21:28Z |
publishDate | 2014-06-01 |
publisher | Springer |
record_format | Article |
series | International Journal of Computational Intelligence Systems |
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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