A general framework for modeling shared autonomous vehicles with dynamic network-loading and dynamic ride-sharing application
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Usage of more realistic models shows comparatively lower benefits from SAV services.
“As concluded by Levin et al. (2017) and Vosooghi et al. (2019), usage of more realistic models shows comparatively lower benefits from SAV services.”
From Shared autonomous vehicle services: A comprehensive review (2020) · cites this paper as Levin et al. (2017)
Cites
Impacts of cooperative adaptive cruise control on freeway traffic flow
Shladover, S. E., Su, D., & Lu, X.-Y. (2012) · Transportation Research Record: Journal of the Transportation Research Board · doi:10.3141/2324-08 · Cited by 887 · see citing works
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Shared autonomous vehicle services: A comprehensive review
Narayanan, S., Chaniotakis, E., & Antoniou, C. (2020) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2019.12.008 · Cited by 691 · see citing works
Modeling individuals’ willingness to share trips with strangers in an autonomous vehicle future
Lavieri, P. S., & Bhat, C. R. (2019) · Transportation Research Part A: Policy and Practice · doi:10.1016/j.tra.2019.03.009 · Cited by 278 · see citing works
Rossi, F., Zhang, R., Hindy, Y., & Pavone, M. (2018) · Autonomous Robots · doi:10.1007/s10514-018-9750-5 · Cited by 153 · see citing works
The transition to autonomous cars, the redesign of cities and the future of urban sustainability
Cugurullo, F., Acheampong, R. A., Gueriau, M., & Dusparic, I. (2021) · Urban Geography · doi:10.1080/02723638.2020.1746096 · Cited by 151 · see citing works
Faber, K., & van Lierop, D. (2020) · Transportation Research Part A: Policy and Practice · doi:10.1016/j.tra.2020.01.022 · Cited by 141 · see citing works
Dandl, F., Hyland, M., Bogenberger, K., & Mahmassani, H. S. (2019) · Transportation · doi:10.1007/s11116-019-10007-9 · Cited by 74 · see citing works
Lu, M., Taiebat, M., Xu, M., & Hsu, S.-C. (2018) · Journal of Urban Planning and Development · doi:10.1061/(asce)up.1943-5444.0000469 · Cited by 62 · see citing works
Gueriau, M., Cugurullo, F., Acheampong, R. A., & Dusparic, I. (2020) · IEEE Intelligent Transportation Systems Magazine · doi:10.1109/mits.2020.3014417 · Cited by 15 · see citing works
- Authors
- Levin, M. W., Kockelman, K. M., Boyles, S. D., & Li, T.
- Affiliations
- University of Minnesota (US)
- The University of Texas at Austin (US)
- Corresponding author
- Levin, Michael W.
- Venue
- Computers, Environment and Urban Systems
- Publisher
- Elsevier BV
- Published
- 2017-07
- Volume
- 64
- Pages
- 373-383
- ISSN
- 0198-9715 (ISSN-L)
- OpenAlex
- W2612340487
- Cited by
- 232
- References
- 1
- Citations by year
- 2026: 8 · 2025: 16 · 2024: 19 · 2023: 27 · 2022: 23 · 2021: 36 · 2020: 44 · 2019: 34 · 2018: 21 · 2017: 4
- FWCI
- 17.88
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- www.elsevier.com/open-access/userlicense/1.0/ (am, 311 d)
- doi.org/10.15223/policy-017 (stm-asf)
- doi.org/10.15223/policy-037 (stm-asf)
- doi.org/10.15223/policy-012 (stm-asf)
- doi.org/10.15223/policy-029 (stm-asf)
- doi.org/10.15223/policy-004 (stm-asf)
- Locations
- Computers Environment and Urban Systems (acceptedVersion)
- Funders
- National Science Foundation (1254921)
- Texas Department of Transportation (0-6838)
- Topics
- Physical Sciences › Engineering › Automotive Engineering › Transportation and Mobility Innovations
- Physical Sciences › Engineering › Control and Systems Engineering › Traffic control and management
- Social Sciences › Transportation › Transportation Planning and Optimization
- Keywords
- shared autonomous vehicles, dynamic network loading, dynamic ridesharing, event-driven simulation, cell transmission model, traffic flow modeling, traffic congestion, travel time
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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