An Analytical Model for On-Demand Ride Sharing to Evaluate the Impact of Reservation, Detour and Maximum Waiting Time

作者: Aledia Bilali , Florian Dandl , Ulrich Fastenrath , Klaus Bogenberger

DOI: 10.1109/ITSC.2019.8917280

关键词:

摘要: Ride sharing services have the potential to improve traffic situation in urban areas. However, a successful implementation of such service depends on customers’ willingness share their trip with somebody else, which among other factors quality factors. A ride is more attractive customers when it associated short detour and waiting time. Hence, from an operator perspective these constrain chances find shareable trips. reservation-based system might be beneficial increase chances. The aim this paper examine influences percentage trips that could shared, quantity named shareability. An analytical model considering impacts time, maximum time picked up reservation developed validated using simulations. influence compared online service, passengers want served as soon possible, also investigated. good match simulated data observed for all considered. Introducing improves shareability especially low density restrictive systems, where or are low.

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