Distributed Ride-Matching for Shared Ridehailing Service with Intelligent City Infrastructure

Autor:	Meshkani, Seyed Mehdi, Farooq, Bilal
Rok vydání:	2022
Předmět:	Computer Science - Distributed Parallel and Cluster Computing Mathematics - Optimization and Control
Druh dokumentu:	Working Paper
Popis:	High computational time is one of the most important operational issues in centralized dynamic shared ridehailing services. To resolve this issue, we propose a distributed ride-matching system that is based on vehicle to infrastructure (V2I) and infrastructure to infrastructure (I2I) communication. The application on downtown Toronto road network demonstrated that the distributed system resulted in a speed-up of 125 times in terms of computational time and showed high scalability. Moreover, the service rate in the proposed system improved by 7% compared to the centralized. However, the centralized system showed 29% and 17% improvement in wait time and detour time, respectively. Comment: cite as: Meshkani, S.M., Farooq, B. (2022, September). Distributed Ride-Matching for Shared Ridehailing Service with Intelligent City Infrastructure. In 2022 IEEE International Smart Cities Conference (ISC2) (pp 1-6). 2022. ; authors note: the overlap has been removed in the revised version (Jan 7, 2022); arXiv admin note: text overlap with arXiv:2104.10022
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2202.01121 Zobrazit plný text záznamu View this record from Arxiv