Solving the User Optimum Privately Owned Automated Vehicles Assignment Problem (UO-POAVAP): A model to explore the impacts of self-driving vehicles on urban mobility

Title
Solving the User Optimum Privately Owned Automated Vehicles Assignment Problem (UO-POAVAP): A model to explore the impacts of self-driving vehicles on urban mobility
Authors
Keywords
Automated vehicles, Self-driving vehicles, MIP, Parking, Vehicle routing, Value of travel time
Journal
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
Volume 87, Issue -, Pages 64-88
Publisher
Elsevier BV
Online
2016-04-02
DOI
10.1016/j.trb.2016.03.002

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