Imperial College London
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MrPrateekBansal

Faculty of Engineering, Department of Civil and Environmental Engineering

Academic Visitor
 
 
 
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Contact

 

p.bansal19 CV

 
 
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Location

 

Skempton BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Fagnant:2016:10.3141/2536-12,
author = {Fagnant, DJ and Kockelman, KM and Bansal, P},
doi = {10.3141/2536-12},
journal = {Transportation Research Record: Journal of the Transportation Research Board},
pages = {98--106},
title = {Operations of Shared Autonomous Vehicle Fleet for Austin, Texas, Market},
url = {http://dx.doi.org/10.3141/2536-12},
volume = {2563},
year = {2016}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - <jats:p> The emergence of automated vehicles holds great promise for the future of transportation. Although commercial sales of fully self-driving vehicles will not commence for several more years, once these sales are possible a new transportation mode for personal travel promises to arrive. This new mode is the shared autonomous (or fully automated) vehicle (SAV), combining features of short-term, on-demand rentals with self-driving capabilities: in essence, a driverless taxi. This investigation examined the potential implications of the SAV at a low level of market penetration (1.3% of regional trips) by simulating a feet of SAVs serving travelers in the 12-mi by 24-mi regional core of Austin, Texas. The simulation used a sample of trips from the region's planning model to generate demand across traffic analysis zones and a 32,272-link network. Trips called on the vehicles in 5-min departure time windows, with link-level travel times varying by hour of day based on MATSIM's dynamic traffic assignment simulation software. Results showed that each SAV could replace about nine conventional vehicles within the 24-mi by 12-mi area while still maintaining a reasonable level of service (as proxied by user wait times, which averaged just 1 min). Additionally, approximately 8% more vehicle miles traveled (VMT) may be generated because of SAV's ability to journey unoccupied to the next traveler or relocate to a more favorable position in anticipation of its next period demand. </jats:p>
AU  - Fagnant,DJ
AU  - Kockelman,KM
AU  - Bansal,P
DO  - 10.3141/2536-12
EP  - 106
PY  - 2016///
SN  - 0361-1981
SP  - 98
TI  - Operations of Shared Autonomous Vehicle Fleet for Austin, Texas, Market
T2  - Transportation Research Record: Journal of the Transportation Research Board
UR  - http://dx.doi.org/10.3141/2536-12
VL  - 2563
ER  -
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