Impact of automated vehicles on traffic assignment, mode split, and parking behavior

Implementing autonomous vehicles (AVs) can provide plenty of advantages, such as improving network capacity and reducing crashes. If morning commuters take AVs to the workplace, they can assign AVs an induced trip to a low-cost parking lot or even park AVs at their origins with no cost. This travel...

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Bibliographic Details
Published in:	Transportation research. Part D, Transport and environment Vol. 104; p. 103200
Main Authors:	Kang, D., Hu, F., Levin, M.W.
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01-03-2022
Subjects:	Autonomous vehicles Mode split Parking lot choice Traffic assignment User equilibrium User equilibrium Traffic assignment Autonomous vehicles Mode split Parking lot choice
Online Access:	Get full text
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Summary:	Implementing autonomous vehicles (AVs) can provide plenty of advantages, such as improving network capacity and reducing crashes. If morning commuters take AVs to the workplace, they can assign AVs an induced trip to a low-cost parking lot or even park AVs at their origins with no cost. This travel behavior might result in a more congested city network. This study firstly considers the equilibriums in route choice, mode choice, and parking lot choice in one optimization model. The solution algorithm is proposed to solve the optimization program iteratively. The Sioux Falls network is used to test the potential impacts of induced AV trips and the preference to choose an AV. The results using the test network find that scenarios with AVs increase the average travel time by approximately 50%, while 14.60% to 32.27% (scenario-based) of the area that is currently used as parking spaces can be re-purposed.
ISSN:	1361-9209 1879-2340
DOI:	10.1016/j.trd.2022.103200