Pricing Vehicle Sharing with Proximity Information
Marecek, Jakub, Shorten, Robert, Yu, Jia Yuan
–arXiv.org Artificial Intelligence
Pricing Vehicle Sharing with Proximity Information Jakub Mareček 1, Robert Shorten 12, Jia Yuan Yu 3 1 IBM Research, Ireland 2 University College Dublin, Ireland 3 Concordia University, Canada October 14, 2018 Abstract For vehicle sharing schemes, where drop-off positions are not fixed, we propose a pricing scheme, where the price depends in part on the distance between where a vehicle is being dropped off and where the closest shared vehicle is parked. Under certain restrictive assumptions, we show that this pricing leads to a socially optimal spread of the vehicles within a region. Introduction The numbers of cars on the roads seem ever increasing, with the consequent issues of congestion on the roads, lack of parking space, and pollution. Car-sharing schemes, which let members use any car in a fleet, promise to reduce the issues considerably [1, 2, 3]. Until the penetration of car sharing in any given area is high enough, however, the distance to travel to pick up a car may be prohibitive. In car-sharing systems, where the pickup and drop-off have to be the same, e.g.
arXiv.org Artificial Intelligence
Jan-25-2016
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