Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-9165
Main Title: Congestion pricing in a world of self-driving vehicles: An analysis of different strategies in alternative future scenarios
Author(s): Simoni, Michele D.
Kockelman, Kara M.
Gurumurthy, Krishna M.
Bischoff, Joschka
Type: Article
Language Code: en
Abstract: The introduction of autonomous (self-driving) and shared autonomous vehicles (AVs and SAVs) will affect travel destinations and distances, mode choice, and congestion. From a traffic perspective, although some congestion reduction may be achieved (thanks to fewer crashes and tighter headways), car-trip frequencies and vehicle miles traveled (VMT) are likely to rise significantly, reducing the benefits of driverless vehicles. Congestion pricing (CP) and road tolls are key tools for moderating demand and incentivizing more socially and environmentally optimal travel choices. This work develops multiple CP and tolling strategies in alternative future scenarios, and investigates their effects on the Austin, Texas network conditions and traveler welfare, using the agent-based simulation model MATSim. Results suggest that, while all pricing strategies reduce congestion, their social welfare impacts differ in meaningful ways. More complex and advanced strategies perform better in terms of traffic conditions and traveler welfare, depending on the development of the mobility landscape of autonomous driving. The possibility to refund users by reinvesting toll revenues as traveler budgets plays a salient role in the overall efficiency of each CP strategy as well as in the public acceptability.
URI: https://depositonce.tu-berlin.de/handle/11303/10176
http://dx.doi.org/10.14279/depositonce-9165
Issue Date: 3-Dec-2018
Date Available: 24-Oct-2019
DDC Class: 380 Handel, Kommunikation, Verkehr
005 Computerprogrammierung, Programme, Daten
Subject(s): congestion
pricing
tolling strategy
agent-based model
traffic
autonomous vehicles
shared autonomous vehicles
License: https://creativecommons.org/licenses/by-nc-nd/4.0/
Journal Title: Transportation Research Part C: Emerging Technologies
Publisher: Elsevier
Publisher Place: Amsterdam [u.a.]
Volume: 98
Publisher DOI: 10.1016/j.trc.2018.11.002
Page Start: 167
Page End: 185
EISSN: 1879-2359
ISSN: 0968-090X
Appears in Collections:FG Verkehrssystemplanung und Verkehrstelematik » Publications

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