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

标题
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
作者
关键词
Automated vehicles, Self-driving vehicles, MIP, Parking, Vehicle routing, Value of travel time
出版物
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
Volume 87, Issue -, Pages 64-88
出版商
Elsevier BV
发表日期
2016-04-02
DOI
10.1016/j.trb.2016.03.002

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