The travel and environmental implications of shared autonomous vehicles, using agent-based model scenarios
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Many simulation studies employ a warm-up simulation to determine the required fleet size.
“Many simulation studies employ a warm up simulation (see Fagnant & Kockelman (2014) for the method) to determine the fleet size required.”
From Shared autonomous vehicle services: A comprehensive review (2020) · cites this paper as Fagnant & Kockelman (2014)
All relocation strategies resulted in increased vehicle miles travelled.
“All the relocation strategies resulted in increased vehicle miles travelled.”
From Shared autonomous vehicle services: A comprehensive review (2020) · cites this paper as Fagnant & Kockelman (2014)
Strategy R1, allowing larger relocation distance, results in lower waiting times for customers.
“They found that strategy R1, that allows larger relocation distance, results in lower waiting times for customers.”
From Shared autonomous vehicle services: A comprehensive review (2020) · cites this paper as Fagnant & Kockelman (2014)
The maximum vehicle replacement rate is 10.
“The result shows a maximum vehicle replacement rate of 10.”
From Shared autonomous vehicle services: A comprehensive review (2020) · cites this paper as Fagnant & Kockelman, 2014
Fagnant & Kockelman (2018) builds on Fagnant & Kockelman (2014) by including a Dynamic Ride-Sharing (DRS) module.
“This study builds on Fagnant & Kockelman (2014), by including a Dynamic Ride-Sharing (DRS) module.”
From Shared autonomous vehicle services: A comprehensive review (2020) · cites this paper as Fagnant & Kockelman (2014)
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- Authors
- Fagnant, D. J., & Kockelman, K. M.
- Affiliations
- The University of Texas at Austin (US)
- Corresponding author
- Kockelman, Kara M.
- Venue
- Transportation Research Part C: Emerging Technologies
- Publisher
- Elsevier BV
- Published
- 2014-03
- Volume
- 40
- Pages
- 1-13
- ISSN
- 0968-090X (ISSN-L)
- OpenAlex
- W1555872275
- Cited by
- 1,177
- References
- 0
- Citations by year
- 2026: 70 · 2025: 68 · 2024: 90 · 2023: 101 · 2022: 131 · 2021: 148 · 2020: 160 · 2019: 149 · 2018: 121 · 2017: 69 · 2016: 49 · 2015: 16 · 2014: 5
- FWCI
- 56.73
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Transportation Research Part C Emerging Technologies (publishedVersion)
- Transportation Research Board 93rd Annual MeetingTransportation Research Board
- Topics
- Physical Sciences › Engineering › Automotive Engineering › Transportation and Mobility Innovations
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Vehicles and Infrastructure
- Social Sciences › Transportation › Transportation Planning and Optimization
- Keywords
- shared autonomous vehicles, car sharing, autonomous vehicles, fleet sizing, travel demand, trip generation, trip distribution, network congestion, travel distance, vehicle miles traveled, emissions, embodied emissions, in-use emissions, urban mobility
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