Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/15674
Title: Decision support tools for car sharing systems with flexible return time and stations.
Authors: KEK GEOK HOON, ALVINA
Keywords: carsharing, shared-use vehicles, trip forecasting, hybrid forecasting, vehicle relocation, pre-emptive vehicle relocation
Issue Date: 26-Feb-2007
Source: KEK GEOK HOON, ALVINA (2007-02-26). Decision support tools for car sharing systems with flexible return time and stations.. ScholarBank@NUS Repository.
Abstract: This research addresses the rising need for intelligent decision support tools for multiple-station carsharing operators with flexible return time and stations. Models and solution algorithms developed are validated and tested against commercially operational data. A new hybrid forecasting model is developed and shown to effectively improve forecast accuracy over that of pure linear or non-linear models. In a parallel study, a vehicle relocation simulation model capable of evaluating the impact of various operating parameters on the system is built. Pre-emptive vehicle relocation is thus enabled by integrating the hybrid forecasting tool with the vehicle relocation simulation model. Finally, the new problem of finding a set of near optimal operating conditions for these carsharing systems is proposed, and a three-phase OTS (Optimized-Trend-Simulation) integrated heuristic approach developed to solve it. Simulation results show this approach to surpass the performance of earlier models developed. These developments thus equip operators with a set of necessary decision support tools to effectively remove excesses in their system, enhance service levels and increase operational efficiency.
URI: http://scholarbank.nus.edu.sg/handle/10635/15674
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