2017/09/27 by Chiara Boldrini, Boldrini, Chiara, Raffaele Bruno +1 · 1 citation
Business, Management and Accounting · Computer Science · Engineering · Social Sciences · #FOS: Computer and information sciences #Other Computer Science (cs.OH) #Sharing Economy and Platforms #Transportation and Mobility Innovations #Urban Transport and Accessibility #cs.OH
paper · pdf · doi:10.48550/arxiv.1709.09553
Accepted at the MoD@ITSC2017 workshop
arxiv created 2017/09/27 · openalex publication_date 2017/09/27 · arxiv updated 2017/09/28 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Car sharing is one of the key elements of a Mobility-on-Demand system, but it still suffers from several shortcomings, the most significant of which is the fleet unbalance during the day. What is typically observed in car sharing systems, in fact, is a vehicle shortage in so-called hot spots (i.e., areas with high demand) and vehicle accumulation in cold spots, due to the patterns in people flows during the day. In this work, we overview the main approaches to vehicle redistribution based on the type of vehicles the car sharing fleet is composed of, and we evaluate their performance using a realistic car sharing demand derived for a suburban area around Lyon, France. The main result of this paper is that stackable vehicles can achieve a relocation performance close to that of autonomous vehicles, significantly improving over the no-relocation approach and over traditional relocation with standard cars.