Transit Route Network Design for Low-Mobility Individuals Using a Hybrid Metaheuristic Approach
This paper follows the previous effort of authors and builds the model of transit route network design for low-mobility individuals, proposing an appropriate solution methodology. Firstly, a desired objective, whose priority is to meet transit demands of low-mobility individuals followed by those of...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2020/7059584 |
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| _version_ | 1832566382358691840 |
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| author | Tao Zhang Gang Ren Yang Yang |
| author_facet | Tao Zhang Gang Ren Yang Yang |
| author_sort | Tao Zhang |
| collection | DOAJ |
| description | This paper follows the previous effort of authors and builds the model of transit route network design for low-mobility individuals, proposing an appropriate solution methodology. Firstly, a desired objective, whose priority is to meet transit demands of low-mobility individuals followed by those of general public, is presented to minimize the weighted sum of direct traveler, transfer, and unsatisfied demand costs. Then, a hybrid metaheuristic approach based on ant colony and genetic algorithms is formulated to solve the proposed model in accordance with current conditions (i.e., existing routes that may need to undergo configuration adjustments to different degrees). Finally, the case study of Wenling is presented to highlight the performance and benefits of the proposed model and solution methodology. |
| format | Article |
| id | doaj-art-fc8567d371ac48019a09f6f8915f82a7 |
| institution | Kabale University |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-fc8567d371ac48019a09f6f8915f82a72025-02-03T01:04:19ZengWileyJournal of Advanced Transportation0197-67292042-31952020-01-01202010.1155/2020/70595847059584Transit Route Network Design for Low-Mobility Individuals Using a Hybrid Metaheuristic ApproachTao Zhang0Gang Ren1Yang Yang2Jiangsu Key Laboratory of Urban ITS, Southeast University, Nanjing, 211189, ChinaJiangsu Key Laboratory of Urban ITS, Southeast University, Nanjing, 211189, ChinaJiangsu Key Laboratory of Urban ITS, Southeast University, Nanjing, 211189, ChinaThis paper follows the previous effort of authors and builds the model of transit route network design for low-mobility individuals, proposing an appropriate solution methodology. Firstly, a desired objective, whose priority is to meet transit demands of low-mobility individuals followed by those of general public, is presented to minimize the weighted sum of direct traveler, transfer, and unsatisfied demand costs. Then, a hybrid metaheuristic approach based on ant colony and genetic algorithms is formulated to solve the proposed model in accordance with current conditions (i.e., existing routes that may need to undergo configuration adjustments to different degrees). Finally, the case study of Wenling is presented to highlight the performance and benefits of the proposed model and solution methodology.http://dx.doi.org/10.1155/2020/7059584 |
| spellingShingle | Tao Zhang Gang Ren Yang Yang Transit Route Network Design for Low-Mobility Individuals Using a Hybrid Metaheuristic Approach Journal of Advanced Transportation |
| title | Transit Route Network Design for Low-Mobility Individuals Using a Hybrid Metaheuristic Approach |
| title_full | Transit Route Network Design for Low-Mobility Individuals Using a Hybrid Metaheuristic Approach |
| title_fullStr | Transit Route Network Design for Low-Mobility Individuals Using a Hybrid Metaheuristic Approach |
| title_full_unstemmed | Transit Route Network Design for Low-Mobility Individuals Using a Hybrid Metaheuristic Approach |
| title_short | Transit Route Network Design for Low-Mobility Individuals Using a Hybrid Metaheuristic Approach |
| title_sort | transit route network design for low mobility individuals using a hybrid metaheuristic approach |
| url | http://dx.doi.org/10.1155/2020/7059584 |
| work_keys_str_mv | AT taozhang transitroutenetworkdesignforlowmobilityindividualsusingahybridmetaheuristicapproach AT gangren transitroutenetworkdesignforlowmobilityindividualsusingahybridmetaheuristicapproach AT yangyang transitroutenetworkdesignforlowmobilityindividualsusingahybridmetaheuristicapproach |