A Variable Neighbourhood Search-Based Algorithm for the Transit Route Network Design Problem

The transit route network design problem (TRNDP) has long attracted research attention, with many metaheuristic approaches proposed for its solution. So far, and despite the promising performance of Variable Neighbourhood Search (VNS) variants for vehicle routing problems, the performance of the alg...

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Main Authors: Christina Iliopoulou, Ioannis Tassopoulos, Grigorios Beligiannis
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/12/20/10232
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author Christina Iliopoulou
Ioannis Tassopoulos
Grigorios Beligiannis
author_facet Christina Iliopoulou
Ioannis Tassopoulos
Grigorios Beligiannis
author_sort Christina Iliopoulou
collection DOAJ
description The transit route network design problem (TRNDP) has long attracted research attention, with many metaheuristic approaches proposed for its solution. So far, and despite the promising performance of Variable Neighbourhood Search (VNS) variants for vehicle routing problems, the performance of the algorithm on the TRNDP remains unexplored. In this context, this study develops a VNS-based algorithm for the problem at hand. The performance of the algorithm is tested using benchmark networks used in bus transit network design and compared with some of the most recent and efficient methods from the literature. Results show that the algorithm yields superior results over existing implementations in short computational times.
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spelling doaj.art-2b4a209a2dc54990bdb13020ade8b0062023-11-23T22:41:14ZengMDPI AGApplied Sciences2076-34172022-10-0112201023210.3390/app122010232A Variable Neighbourhood Search-Based Algorithm for the Transit Route Network Design ProblemChristina Iliopoulou0Ioannis Tassopoulos1Grigorios Beligiannis2Institute for Traffic Planning and Transport Systems, ETH Zurich, Stefano Franscini Square 5, 8093 Zurich, SwitzerlandDepartment of Food Science & Technology, School of Agricultural Sciences, University of Patras—Agrinio Campus, G. Seferi 2, 30100 Agrinio, GreeceDepartment of Food Science & Technology, School of Agricultural Sciences, University of Patras—Agrinio Campus, G. Seferi 2, 30100 Agrinio, GreeceThe transit route network design problem (TRNDP) has long attracted research attention, with many metaheuristic approaches proposed for its solution. So far, and despite the promising performance of Variable Neighbourhood Search (VNS) variants for vehicle routing problems, the performance of the algorithm on the TRNDP remains unexplored. In this context, this study develops a VNS-based algorithm for the problem at hand. The performance of the algorithm is tested using benchmark networks used in bus transit network design and compared with some of the most recent and efficient methods from the literature. Results show that the algorithm yields superior results over existing implementations in short computational times.https://www.mdpi.com/2076-3417/12/20/10232transit route network designvariable neighbourhood searchroutingpublic transport
spellingShingle Christina Iliopoulou
Ioannis Tassopoulos
Grigorios Beligiannis
A Variable Neighbourhood Search-Based Algorithm for the Transit Route Network Design Problem
Applied Sciences
transit route network design
variable neighbourhood search
routing
public transport
title A Variable Neighbourhood Search-Based Algorithm for the Transit Route Network Design Problem
title_full A Variable Neighbourhood Search-Based Algorithm for the Transit Route Network Design Problem
title_fullStr A Variable Neighbourhood Search-Based Algorithm for the Transit Route Network Design Problem
title_full_unstemmed A Variable Neighbourhood Search-Based Algorithm for the Transit Route Network Design Problem
title_short A Variable Neighbourhood Search-Based Algorithm for the Transit Route Network Design Problem
title_sort variable neighbourhood search based algorithm for the transit route network design problem
topic transit route network design
variable neighbourhood search
routing
public transport
url https://www.mdpi.com/2076-3417/12/20/10232
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