HighlightsA graph-based mathematical model for collaboration based on truck appointments is proposed.Empty truck trips are effectively reduced for cost and emission objectives.Collaboration is modeled considering incentives of individual truckers.Soft time windows are introduced to this type of problems in order to enable more flexible collaboration.Experiments are performed on well-defined instances generated from data collected at a real port and its hinterland.

    AbstractPort-related emissions are a growing problem for urban areas often located directly next to maritime container terminals highly frequented by container trucks. Empty truck trips, caused by a lack of coordination among truckers, are responsible for a significant share of these emissions, and collaboration among truckers is seen as the major opportunity to address this issue. Truck appointment systems (TASs) schedule truck activities and enable collaboration for transportation between terminals and client locations. The aim of this work is to introduce a collaborative planning model to be operated within a TAS and to investigate its impact on emission and cost objectives. Starting with a review of requirements for a TAS with collaboration, an optimization model based on the multiple traveling salesman problem with time windows is developed, leveraging collaboration to reduce costs and emissions. The results for a real-world case demonstrate that the developed approach provides appropriately coordinated truck schedules and effectively reduces truck emissions and costs.


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    Title :

    Reducing port-related empty truck emissions: A mathematical approach for truck appointments with collaboration




    Publication date :

    2017-03-19


    Size :

    18 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English