A study on the heterogeneous fleet of alternative fuel vehicles: Reducing CO2 emissions by means of biodiesel fuel

Mohamed Amine Masmoudi, Manar Hosny, Emrah Demir, Naoufel Cheikhrouhou

    Research output: Contribution to journalArticlepeer-review

    20 Scopus citations

    Abstract

    In the context of home healthcare services, patients may need to be visited multiple times by different healthcare specialists who may use a fleet of heterogeneous vehicles. In addition, some of these visits may need to be synchronized with each other for performing a treatment at the same time. We call this problem the Heterogeneous Fleet Vehicle Routing Problem with Synchronized visits (HF-VRPS). It consists of planning a set of routes for a set of light duty vehicles running on alternative fuels. We propose three population-based hybrid Artificial Bee Colony metaheuristic algorithms for the HF-VRPS. These algorithms are tested on newly generated instances and on a set of homogeneous VRPS instances from the literature. Besides producing quality solutions, our experimental results illustrate the trade-offs between important factors, such as CO2 emissions and driver wage. The computational results also demonstrate the advantages of adopting a heterogeneous fleet rather than a homogeneous one for the use in home healthcare services.

    Original languageBritish English
    Pages (from-to)137-155
    Number of pages19
    JournalTransportation Research Part D: Transport and Environment
    Volume63
    DOIs
    StatePublished - Aug 2018

    Keywords

    • Alternative fuel
    • Artificial Bee Colony metaheuristic algorithm
    • Heterogenous fleet
    • Synchronization
    • Vehicle routing

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