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Analyzing the dynamic ride-sharing potential for shared autonomous vehicle fleets using cellphone data from Orlando, Florida
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Shared mobility services can make the deployment of autonomous vehicles financially viable.
“shared mobility services can make the deployment of autonomous vehicles financially viable (Gurumurthy & Kockelman, 2018;Stocker & Shaheen, 2018).”
From Shared autonomous vehicle services: A comprehensive review (2020) · cites this paper as Gurumurthy & Kockelman, 2018
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Research works printed but not linked: 17
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- Brownell, 2014, A driverless alternative: Fleet size and cost requirements for a statewide autonomous taxi network in New Jersey, Transportation Research Record, 2416, 73, 10.3141/2416-09 · DOI
- Calabrese, 2011, Estimating origin-destination flows using opportunistically collected mobile phone location data from one million users in Boston metropolitan area, IEEE Pervasive Computing, 10, 36, 10.1109/MPRV.2011.41 · DOI
- Chan, 2012, Ridesharing in North America: Past, present, and future, Transport Reviews, 32, 93, 10.1080/01441647.2011.621557 · DOI
- Fagnant, 2016, Dynamic ride-sharing and fleet sizing for a system of shared autonomous vehicles, Transportation, 45, 1
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- Loeb, 2017, Fleet performance & cost evaluation of a Shared Autonomous Electric Vehicle (SAEV) Fleet: A case study for Austin, Texas, Transportation Research Part A – Policy and Practice
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Cited by
Sorted by citations
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
Trends in life cycle greenhouse gas emissions of future light duty electric vehicles
Ambrose, H., Kendall, A., Lozano, M., Wachche, S., & Fulton, L. (2020) · Transportation Research Part D: Transport and Environment · doi:10.1016/j.trd.2020.102287 · Cited by 104
Metadata
- Authors
- Gurumurthy, K. M., & Kockelman, K. M.
- Affiliations
- The University of Texas at Austin (US)
- Corresponding author
- Kockelman, Kara M.
- Venue
- Computers, Environment and Urban Systems
- Publisher
- Elsevier BV
- Published
- 2018-09
- Volume
- 71
- Pages
- 177-185
- ISSN
- 0198-9715 (ISSN-L)
- OpenAlex
- W2811391846
- Cited by
- 112
- References
- 0
- Citations by year
- 2026: 5 · 2025: 6 · 2024: 17 · 2023: 15 · 2022: 14 · 2021: 24 · 2020: 20 · 2019: 9 · 2018: 2
- FWCI
- 7.31
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Computers Environment and Urban Systems (publishedVersion)
- Funders
- TxDOT (0-6838)
- Topics
- Social Sciences › Transportation › Transportation and Mobility Innovations
- Social Sciences › Transportation › Transportation Planning and Optimization
- Social Sciences › Transportation › Traffic Prediction and Management Techniques
- Keywords
- dynamic ridesharing, shared autonomous vehicles, fleet size optimization, ride-hailing, travel time, parking demand reduction, Orlando
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