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Fuzzy linear assignment problem: an approach to vehicle fleet deployment

Ngo, M.N., Seow, K.T. and Wong, K.W. (2004) Fuzzy linear assignment problem: an approach to vehicle fleet deployment. In: IEEE International Conference on Fuzzy Systems, 25-29 July 2004, Budapest, Hungary pp. 1197-1202.

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    Link to Published Version: http://dx.doi.org/10.1109/FUZZY.2004.1375583
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    Abstract

    This paper proposes and examines a new approach using fuzzy logic to vehicle fleet deployment. Fleet deployment is viewed as a fuzzy linear assignment problem. It assigns each travel request to an available service vehicle through solving a linear assignment matrix of defuzzied cost entries. Each cost entry indicates the cost value of a travel request that "fuzzily aggregates" multiple criteria in simple rules incorporating human dispatching expertise. The approach is examined via extensive simulations anchored in a representative scenario of taxi deployment, and compared to the conventional case of using only distances (each from the taxi position to the source point and finally destination point of a travel request) as cost entries. Discussion in the context of related work examines the performance and practicality of the proposed approach.

    Publication Type: Conference Paper
    Murdoch Affiliation: School of Information Technology
    Publisher: IEEE
    Copyright: © 2004 IEEE
    Notes: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
    URI: http://researchrepository.murdoch.edu.au/id/eprint/1006
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