2017
DOI: 10.1016/j.compenvurbsys.2017.04.006
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A general framework for modeling shared autonomous vehicles with dynamic network-loading and dynamic ride-sharing application

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Cited by 196 publications
(109 citation statements)
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“…89 Taking realistic traffic flows into account, Levin et al reported that empty repositioning trips made by SAVs without dynamic ride-sharing increase congestion and travel time by 3−20%. 92 SAEVs could also drive to remote locations for charging, resulting in higher VMT. Loeb et al estimated that travel to charging stations accounts for about 32% of unoccupied VMT in SAEV fleets.…”
Section: Environmental Science and Technologymentioning
confidence: 99%
“…89 Taking realistic traffic flows into account, Levin et al reported that empty repositioning trips made by SAVs without dynamic ride-sharing increase congestion and travel time by 3−20%. 92 SAEVs could also drive to remote locations for charging, resulting in higher VMT. Loeb et al estimated that travel to charging stations accounts for about 32% of unoccupied VMT in SAEV fleets.…”
Section: Environmental Science and Technologymentioning
confidence: 99%
“…There are only a few papers focusing on the congestion impact of SAVs, e.g., [81], [124], [132], [155], [156]. For example, to investigate mobility impacts of SAVs, Levin et al [124] presented a general event-based framework for simulating the operations of a SAV system with existing traffic models. Considering 100% penetration of SAVs, the authors found that under certain scenarios (e.g., with the option of dynamic ridesharing), a smaller fleet of SAVs performed better than a larger fleet due to lower congestion in the network.…”
Section: A Operation In a Realistic Traffic Environmentmentioning
confidence: 99%
“…It was found that one SAV could replace about 11 conventional vehicles even though ridesharing is not considered. Levin, Kockelman, Boyles, and Li () developed an event‐based framework to evaluate the benefits of SAVs in a dynamic traffic simulator. A heuristic method was used for dynamic ridesharing.…”
Section: Introductionmentioning
confidence: 99%