A decision support system for vehicle relocation operations in carsharing systems
This paper presents a novel three-phase optimization-trend-simulation (OTS) decision support system for carsharing operators to determine a set of near-optimal manpower and operating parameters for the vehicle relocation problem. Tested on a set of commercially operational data from a carsharing company in Singapore, the simulation results suggest that the manpower and parameters recommended by the OTS system lead to a reduction in staff cost of 50%, a reduction in zero-vehicle-time ranging between 4.6% and 13.0%, a maintenance of the already low full-port-time and a reduction in number of relocations ranging between 37.1% and 41.1%.
Year of publication: |
2009
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Authors: | Kek, Alvina G.H. ; Cheu, Ruey Long ; Meng, Qiang ; Fung, Chau Ha |
Published in: |
Transportation Research Part E: Logistics and Transportation Review. - Elsevier, ISSN 1366-5545. - Vol. 45.2009, 1, p. 149-158
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Publisher: |
Elsevier |
Keywords: | Carsharing Decision support system Optimization Simulation |
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