Transportation

Operations of Shared Autonomous Vehicle Fleet for Austin, Texas, Market

D. J. Fagnant, K. M. Kockelman, et al.

This research, conducted by Daniel J. Fagnant, Kara M. Kockelman, and Prateek Bansal, explores a simulation of shared autonomous vehicles (SAVs) in Austin, Texas, revealing that each SAV could replace about nine traditional vehicles while ensuring minimal wait times. However, an intriguing side effect was an 8% rise in vehicle miles traveled due to repositioning.

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Playback language: English

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Abstract

This research simulates a fleet of shared autonomous vehicles (SAVs) operating in Austin, Texas, at a low market penetration rate (1.3% of regional trips). The simulation uses real-world trip data and a detailed network model to assess SAV performance, finding that each SAV could replace approximately nine conventional vehicles while maintaining acceptable wait times (averaging one minute). However, SAV operations also resulted in an 8% increase in vehicle miles traveled (VMT) due to repositioning for future demand.

Publisher

Transportation Research Record: Journal of the Transportation Research Board

Published On

Jan 01, 2015

Authors

Daniel J. Fagnant, Kara M. Kockelman, Prateek Bansal

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