Shared Autonomous Mobility on Demand: A Learning-Based Approach and Its Performance in the Presence of Traffic Congestion
Abstract
Mobility-on-demand (MOD) systems consisting of shared autonomous vehicles (SAVs) are expected to improve the efficiency of urban transportation through reduced vehicle ownership and parking demand. However, several issues related to their implementation remain open, such as unifying the vehicle and ridesharing (RS) assignment with rebalancing (RB) unoccupied vehicles.
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Bibri, S. E., Krogstie, J., Kaboli, A., & Alahi, A. (2024) · Environmental Science and Ecotechnology · doi:10.1016/j.ese.2023.100330 · Cited by 536 · see citing works
Yigitcanlar, T., & Cugurullo, F. (2020) · Sustainability · doi:10.3390/su12208548 · Cited by 337 · see citing works
Self-citationGueriau, M., & Dusparic, I. (2020) · 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC) · doi:10.1109/itsc45102.2020.9294174 · Cited by 133 · see citing works
Self-citation
- Authors
- Gueriau, M., Cugurullo, F., Acheampong, R. A., & Dusparic, I.
- Affiliations
- Trinity College Dublin (IE)
- University of Manchester (GB)
- Venue
- IEEE Intelligent Transportation Systems Magazine
- Published
- 2020
- Volume
- 12
- Issue
- 4
- Pages
- 208-218
- ISSN
- 1939-1390 (ISSN-L)
- 1941-1197
- OpenAlex
- W3010723966
- Cited by
- 15
- References
- 21
- Citations by year
- 2024: 2 · 2023: 2 · 2022: 1 · 2021: 9 · 2020: 1
- FWCI
- 1.20
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- IEEE Intelligent Transportation Systems Magazine (publishedVersion)
- Research Explorer (The University of Manchester) (submittedVersion)
- Funders
- Irish Research Council
- Science Foundation Ireland (16/SP/3804)
- Topics
- Physical Sciences › Engineering › Automotive Engineering › Transportation and Mobility Innovations
- Social Sciences › Transportation › Transportation Planning and Optimization
- Physical Sciences › Engineering › Building and Construction › Traffic Prediction and Management Techniques
- Keywords
- shared autonomous vehicles, mobility-on-demand, ride-sharing, vehicle rebalancing, traffic congestion, parking demand reduction
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