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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/22214

    Title: Heuristic Algorithms for the Dynamic Taxipooling Problem Based on Intelligent Transportation System Technologies
    Authors: 陶治中;Tao, Chi-chung;陳俊穎;Chen, Chun-ying
    Contributors: 淡江大學運輸管理學系
    Date: 2007-08-24
    Issue Date: 2009-11-30 13:57:49 (UTC+8)
    Publisher: IEEE Computer Society
    Abstract: The convergence of the intelligent transportation system (ITS) technologies has given rise to new opportunities for creative and incentive taxi services such as taxipooling. Taxipooling is similar to carpooling which is based on the idea that sets of users having the same travel destination and sharing vehicles. This paper presents two heuristic algorithms based on greedy method and the time-space network for the case of one origin to many destinations ("one- to-many") and many origins to one destination ("many-to-one"). These algorithms are used to support a field trial at Taipei Nei-Hu Science and Technology Park in Taiwan. The results of numerical tests have demonstrated that the outcomes of these heuristic algorithms are fairly plausible.
    Relation: Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on Vol.3, pp.590-595
    DOI: 10.1109/FSKD.2007.346
    Appears in Collections:[運輸管理學系暨研究所] 會議論文

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