Nature-Inspired Optimal Route Network Design for Shared Autonomous Vehicles
Emerging forms of shared mobility call for new vehicle routing models that take into account vehicle sharing, ride sharing and autonomous vehicle fleets. This study deals with the design of an optimal route network for autonomous vehicles, considering both vehicle sharing and ride sharing. The probl...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-12-01
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| Series: | Vehicles |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2624-8921/5/1/2 |
| _version_ | 1797608707703439360 |
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| author | Theodoros Alpos Christina Iliopoulou Konstantinos Kepaptsoglou |
| author_facet | Theodoros Alpos Christina Iliopoulou Konstantinos Kepaptsoglou |
| author_sort | Theodoros Alpos |
| collection | DOAJ |
| description | Emerging forms of shared mobility call for new vehicle routing models that take into account vehicle sharing, ride sharing and autonomous vehicle fleets. This study deals with the design of an optimal route network for autonomous vehicles, considering both vehicle sharing and ride sharing. The problem is modeled as a one-to-many-to-one vehicle routing problem with vehicle capacity and range constraints. An ant colony optimization algorithm is applied to the problem in order to construct a set of routes that satisfies user requests under operational constraints. Results show that the algorithm is able to produce solutions in relatively short computational times, while exploiting the possibility of ride sharing to reduce operating costs. Results also underline the potential of exploiting shared autonomous vehicles in the context of a taxi service for booking trips through electronic reservation systems. |
| first_indexed | 2024-03-11T05:47:19Z |
| format | Article |
| id | doaj.art-9ad12311ae6a4d18b476879338b4115b |
| institution | Directory Open Access Journal |
| issn | 2624-8921 |
| language | English |
| last_indexed | 2024-03-11T05:47:19Z |
| publishDate | 2022-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Vehicles |
| spelling | doaj.art-9ad12311ae6a4d18b476879338b4115b2023-11-17T14:19:57ZengMDPI AGVehicles2624-89212022-12-0151244010.3390/vehicles5010002Nature-Inspired Optimal Route Network Design for Shared Autonomous VehiclesTheodoros Alpos0Christina Iliopoulou1Konstantinos Kepaptsoglou2School of Rural, Surveying and Geoinformatics Engineering, National Technical University of Athens, 15780 Athens, GreeceSchool of Rural, Surveying and Geoinformatics Engineering, National Technical University of Athens, 15780 Athens, GreeceSchool of Rural, Surveying and Geoinformatics Engineering, National Technical University of Athens, 15780 Athens, GreeceEmerging forms of shared mobility call for new vehicle routing models that take into account vehicle sharing, ride sharing and autonomous vehicle fleets. This study deals with the design of an optimal route network for autonomous vehicles, considering both vehicle sharing and ride sharing. The problem is modeled as a one-to-many-to-one vehicle routing problem with vehicle capacity and range constraints. An ant colony optimization algorithm is applied to the problem in order to construct a set of routes that satisfies user requests under operational constraints. Results show that the algorithm is able to produce solutions in relatively short computational times, while exploiting the possibility of ride sharing to reduce operating costs. Results also underline the potential of exploiting shared autonomous vehicles in the context of a taxi service for booking trips through electronic reservation systems.https://www.mdpi.com/2624-8921/5/1/2autonomous vehiclesride sharingvehicle sharingvehicle routing problemant colony optimization |
| spellingShingle | Theodoros Alpos Christina Iliopoulou Konstantinos Kepaptsoglou Nature-Inspired Optimal Route Network Design for Shared Autonomous Vehicles Vehicles autonomous vehicles ride sharing vehicle sharing vehicle routing problem ant colony optimization |
| title | Nature-Inspired Optimal Route Network Design for Shared Autonomous Vehicles |
| title_full | Nature-Inspired Optimal Route Network Design for Shared Autonomous Vehicles |
| title_fullStr | Nature-Inspired Optimal Route Network Design for Shared Autonomous Vehicles |
| title_full_unstemmed | Nature-Inspired Optimal Route Network Design for Shared Autonomous Vehicles |
| title_short | Nature-Inspired Optimal Route Network Design for Shared Autonomous Vehicles |
| title_sort | nature inspired optimal route network design for shared autonomous vehicles |
| topic | autonomous vehicles ride sharing vehicle sharing vehicle routing problem ant colony optimization |
| url | https://www.mdpi.com/2624-8921/5/1/2 |
| work_keys_str_mv | AT theodorosalpos natureinspiredoptimalroutenetworkdesignforsharedautonomousvehicles AT christinailiopoulou natureinspiredoptimalroutenetworkdesignforsharedautonomousvehicles AT konstantinoskepaptsoglou natureinspiredoptimalroutenetworkdesignforsharedautonomousvehicles |