Non-myopic relocation of idle mobility-on-demand vehicles as a dynamic location-allocation-queueing problem

Hamid R. Sayarshad and Joseph Y.J. Chow

Transportation Research Part E: Logistics and Transportation Review, 2017, vol. 106, issue C, 60-77

Abstract: Operation of on-demand services like taxis, dynamic ridesharing services, or vehicle sharing depends significantly on the positioning of idle vehicles to anticipate future demand and operational states. A new queueing-based formulation is proposed for the problem of relocating idle vehicles in an on-demand mobility service. The approach serves as a decision support tool for future studies in urban transport informatics and design of new types of urban mobility systems like carsharing, ridesharing, and smart taxis. A Lagrangian Decomposition heuristic is developed and compared with a relaxed lower bound solution. Using New York taxicab data, the proposed algorithm reduces the cost by up to 27% compared to the myopic case.

Keywords: p-median problem; Preposition of idle vehicles; Relocation costs; Lagrangian decomposition (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (18)

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DOI: 10.1016/j.tre.2017.08.003

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