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Routing autonomous vehicles in congested transportation networks: structural properties and coordination algorithms
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“However, Rossi et al. (2018) show that it is possible to route empty vehicles without substantial increase in congestion.”
From Shared autonomous vehicle services: A comprehensive review (2020) · cites this paper as Rossi et al., 2018
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Metadata
- Authors
- Rossi, F., Zhang, R., Hindy, Y., & Pavone, M.
- Affiliations
- Stanford University (US)
- Corresponding author
- Rossi, Federico
- Pavone, Marco
- Venue
- Autonomous Robots
- Published
- 2018-05-04
- Volume
- 42
- Issue
- 7
- Pages
- 1427-1442
- ISSN
- 0929-5593 (ISSN-L)
- 1573-7527
- OpenAlex
- W2963307233
- Cited by
- 153
- References
- 57
- Citations by year
- 2026: 6 · 2025: 14 · 2024: 12 · 2023: 25 · 2022: 21 · 2021: 24 · 2020: 20 · 2019: 20 · 2018: 9
- FWCI
- 9.70
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Autonomous Robots (publishedVersion)
- Funders
- National Science Foundation (CMMI-1454737)
- Dr. Cleve B. Moler Stanford Graduate Fellowship
- Toyota Research Institute
- Topics
- Social Sciences › Transportation › Transportation and Mobility Innovations
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Vehicle Routing Optimization Methods
- Social Sciences › Transportation › Transportation Planning and Optimization
- Keywords
- autonomous vehicles, vehicle routing, fleet rebalancing, mobility-on-demand, network flow, coordination algorithms
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