2017/09/27 by Chiara Boldrini, Boldrini, Chiara, Raffaele Bruno +1 · 1 citation
Business, Management and Accounting · 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
paper · pdf · doi:10.48550/arxiv.1709.09553
openalex publication_date 2017/09/27 · 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\nstill suffers from several shortcomings, the most significant of which is the\nfleet unbalance during the day. What is typically observed in car sharing\nsystems, in fact, is a vehicle shortage in so-called hot spots (i.e., areas\nwith high demand) and vehicle accumulation in cold spots, due to the patterns\nin people flows during the day. In this work, we overview the main approaches\nto vehicle redistribution based on the type of vehicles the car sharing fleet\nis composed of, and we evaluate their performance using a realistic car sharing\ndemand derived for a suburban area around Lyon, France. The main result of this\npaper is that stackable vehicles can achieve a relocation performance close to\nthat of autonomous vehicles, significantly improving over the no-relocation\napproach and over traditional relocation with standard cars.\n