Public Transport Planning Using Modified Ant Colony Optimization
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Carosi, Samuela & Frangioni, Antonio & Galli, Laura & Girardi, Leopoldo & Vallese, Giuliano, 2019. "A matheuristic for integrated timetabling and vehicle scheduling," Transportation Research Part B: Methodological, Elsevier, vol. 127(C), pages 99-124.
- Zhiguo Shao & Li Zhang & Chuanfeng Han & Lingpeng Meng, 2022. "Measurement and Prediction of Urban Land Traffic Accessibility and Economic Contact Based on GIS: A Case Study of Land Transportation in Shandong Province, China," IJERPH, MDPI, vol. 19(22), pages 1-15, November.
- Mariusz Korzeń & Maciej Kruszyna, 2023. "Modified Ant Colony Optimization as a Means for Evaluating the Variants of the City Railway Underground Section," IJERPH, MDPI, vol. 20(6), pages 1-15, March.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Wu, Weitiao & Lin, Yue & Liu, Ronghui & Jin, Wenzhou, 2022. "The multi-depot electric vehicle scheduling problem with power grid characteristics," Transportation Research Part B: Methodological, Elsevier, vol. 155(C), pages 322-347.
- Mariusz Korzeń & Maciej Kruszyna, 2023. "Modified Ant Colony Optimization as a Means for Evaluating the Variants of the City Railway Underground Section," IJERPH, MDPI, vol. 20(6), pages 1-15, March.
- Kayhan Alamatsaz & Sadam Hussain & Chunyan Lai & Ursula Eicker, 2022. "Electric Bus Scheduling and Timetabling, Fast Charging Infrastructure Planning, and Their Impact on the Grid: A Review," Energies, MDPI, vol. 15(21), pages 1-39, October.
- Yanan Zuo & Fengxiang Jin & Min Ji & Zhenjin Li & Jiutao Yang, 2023. "Disaster Risk Regionalization and Prediction of Corn Thrips Combined with Cloud Model: A Case Study of Shandong Province, China," Land, MDPI, vol. 12(3), pages 1-20, March.
- Kayhan Alamatsaz & Frédéric Quesnel & Ursula Eicker, 2024. "Enhancing Electric Shuttle Bus Efficiency: A Case Study on Timetabling and Scheduling Optimization," Energies, MDPI, vol. 17(13), pages 1-26, June.
- Kuo, Yong-Hong & Leung, Janny M.Y. & Yan, Yimo, 2023. "Public transport for smart cities: Recent innovations and future challenges," European Journal of Operational Research, Elsevier, vol. 306(3), pages 1001-1026.
- MELIS, Lissa & SÖRENSEN, Kenneth, 2020. "The on-demand bus routing problem: A large neighborhood search heuristic for a dial-a-ride problem with bus station assignment," Working Papers 2020005, University of Antwerp, Faculty of Business and Economics.
- Lucas Mertens & Bastian Amberg & Natalia Kliewer, 2024. "Integrated Bus Timetabling and Scheduling with a Mutation-Based Evolutionary Scheme Maximizing Headway Quality and Connections," SN Operations Research Forum, Springer, vol. 5(1), pages 1-59, March.
- Aike Kan & Qing Xiang & Xiao Yang & Huiseng Xu & Xiaoxiang Yu & Hong Huang, 2023. "Revealing the Environmental Characteristics of Towns in the Middle Himalayas Using a Geographic Information System and Self-Organizing Map," Sustainability, MDPI, vol. 15(20), pages 1-15, October.
- Yiming Bie & Mingjie Hao & Mengzhu Guo, 2021. "Optimal Electric Bus Scheduling Based on the Combination of All-Stop and Short-Turning Strategies," Sustainability, MDPI, vol. 13(4), pages 1-21, February.
- Ye, Jiao & Jiang, Yu & Chen, Jun & Liu, Zhiyuan & Guo, Renzhong, 2021. "Joint optimisation of transfer location and capacity for a capacitated multimodal transport network with elastic demand: a bi-level programming model and paradoxes," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 156(C).
- MONTENEGRO, Bryan David Galarza & SÖRENSEN, Kenneth & VANSTEENWEGEN, Pieter, 2020. "A demand-responsive feeder service with mandatory and optional, clustered bus-stops," Working Papers 2020006, University of Antwerp, Faculty of Business and Economics.
More about this item
Keywords
public transport; sustainable transportation; ant colony optimization; algorithm modification;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:17:y:2025:i:6:p:2468-:d:1610057. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.