Decentralized Matching in Shared Intelligent Vehicles Fleet
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High computational time is one of the most important operational issues in centralized on-demand shared mobility systems. To resolve this issue, we propose a decentralized ride-matching system that is based on vehicle to infrastructure (V2I) and infrastructure to infrastructure (I2I) communication. Application on the downtown Toronto road network demonstrated that the decentralized 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 centralized system showed 29
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