Owning or sharing autonomous vehicles: comparing different ownership and usage scenarios

The impact of autonomous vehicles (AVs) on urban mobility systems is an increasingly discussed topic in recent years. There is currently some discussions about different ownership models and their consequences. Regarding autonomous vehicles (AVs), two ownership models are being considered for future transportation systems. These are: autonomous vehicles as a public service or individual owning ownership. The first ownership model is based on AVs operating within an on-demand (taxi) service while the second proposes private vehicle ownership combined with offering the AV to other users when not used by its owner and thereby partially financing the vehicle’s acquisition cost. In addition to the ownership model comes the possibility of sharing rides. The main difference when sharing a trip is that an individually-owned vehicle always prioritizes its owner. Based on an existing approach for assessing the potential of predefined meeting points in a ride-sharing service, we develop a method for assessing the sharing potential of those different variants. We consider the number and distance of shared trips, and thus, we evaluate the potentially saved vehicle kilometers. We analyze several ownership and sharing scenarios on a case study for New York and Paris. The results demonstrate that sharing AV trips has the potential of increasing the system-wide matching rate as well as saving up to 25% of the overall traveled distance.

[1]  Jon Louis Bentley,et al.  K-d trees for semidynamic point sets , 1990, SCG '90.

[2]  Jn Laplante,et al.  The continuing evolution of pedestrian walking speed assumptions , 2004 .

[3]  Kara M. Kockelman,et al.  The Travel and Environmental Implications of Shared Autonomous Vehicles, Using Agent-Based Model Scenarios , 2014 .

[4]  Niels A. H. Agatz,et al.  The Benefits of Meeting Points in Ride-Sharing Systems , 2015 .

[5]  Wenwen Zhang,et al.  Exploring the impact of shared autonomous vehicles on urban parking demand: An agent-based simulation approach , 2015 .

[6]  Michal Maciejewski,et al.  Simulation of City-wide Replacement of Private Cars with Autonomous Taxis in Berlin , 2016, ANT/SEIT.

[7]  Corey D. Harper,et al.  Estimating potential increases in travel with autonomous vehicles for the non-driving, elderly and people with travel-restrictive medical conditions , 2016 .

[8]  Rico Krueger,et al.  Preferences for shared autonomous vehicles , 2016 .

[9]  Kara M. Kockelman,et al.  Operations of a Shared, Autonomous Electric Vehicle Fleet: Implications of Vehicle & Charging Infrastructure Decisions , 2016 .

[10]  Fritz Busch,et al.  Framework for Automated Taxi Operation: The Family Model , 2017 .

[11]  Stephen D. Boyles,et al.  A general framework for modeling shared autonomous vehicles with dynamic network-loading and dynamic ride-sharing application , 2017, Comput. Environ. Urban Syst..

[12]  Danielle Attias The Automobile Revolution , 2017 .

[13]  Kay W. Axhausen,et al.  Autonomous vehicles: The next jump in accessibilities? , 2017 .

[14]  Hani S. Mahmassani,et al.  Taxonomy of Shared Autonomous Vehicle Fleet Management Problems to Inform Future Transportation Mobility , 2017 .

[15]  B. van Arem,et al.  Development and transport implications of automated vehicles in the Netherlands: scenarios for 2030 and 2050 , 2017, European Journal of Transport and Infrastructure Research.

[16]  Marija Jankovic,et al.  A critical analysis of travel demand estimation for new one-way carsharing systems , 2017, 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC).

[17]  Ricardo A. Daziano,et al.  Are Consumers Willing to Pay to Let Cars Drive for Them? Analyzing Response to Autonomous Vehicles , 2017 .

[18]  Emilio Frazzoli,et al.  On-demand high-capacity ride-sharing via dynamic trip-vehicle assignment , 2017, Proceedings of the National Academy of Sciences.

[19]  Yuchuan Du,et al.  Optimal design of autonomous vehicle zones in transportation networks , 2017 .

[20]  K. Kockelman,et al.  Shared autonomous electric vehicle (SAEV) operations across the Austin, Texas network with charging infrastructure decisions , 2018 .

[21]  K. Kockelman,et al.  Are we ready to embrace connected and self-driving vehicles? A case study of Texans , 2016, Transportation.

[22]  Manuel Ojeda-Cabral,et al.  Understanding valuation of travel time changes: are preferences different under different stated choice design settings? , 2016, Transportation.

[23]  Kara M. Kockelman,et al.  Dynamic ride-sharing and fleet sizing for a system of shared autonomous vehicles in Austin, Texas , 2018 .

[24]  Elias Boutros Khalil,et al.  The impact of private autonomous vehicles on vehicle ownership and unoccupied VMT generation , 2018 .

[25]  Raphael Hoerler,et al.  Will consumers prefer shared and pooled-use autonomous vehicles? A stated choice experiment with Swiss households , 2019, Transportation Research Part D: Transport and Environment.

[26]  Jakob Puchinger,et al.  A survey of models and algorithms for optimizing shared mobility , 2019, Transportation Research Part B: Methodological.