Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/15674
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dc.titleDecision support tools for car sharing systems with flexible return time and stations.
dc.contributor.authorKEK GEOK HOON, ALVINA
dc.date.accessioned2010-04-08T10:56:07Z
dc.date.available2010-04-08T10:56:07Z
dc.date.issued2007-02-26
dc.identifier.citationKEK GEOK HOON, ALVINA (2007-02-26). Decision support tools for car sharing systems with flexible return time and stations.. ScholarBank@NUS Repository.
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/15674
dc.description.abstractThis 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.
dc.language.isoen
dc.subjectcarsharing, shared-use vehicles, trip forecasting, hybrid forecasting, vehicle relocation, pre-emptive vehicle relocation
dc.typeThesis
dc.contributor.departmentCIVIL ENGINEERING
dc.contributor.supervisorCHEU RUEY LONG @KHOO SWEE LENG
dc.contributor.supervisorMENG QIANG
dc.description.degreePh.D
dc.description.degreeconferredDOCTOR OF PHILOSOPHY
dc.identifier.isiutNOT_IN_WOS
Appears in Collections:Ph.D Theses (Open)

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