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Usman Ahmed presents “Modelling Freight Vehicle Type Choice using Machine Learning and Discrete Choice Methods”

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The choice of vehicle type is one of the important logistics decisions made by firms. The complex nature of the choice process is due to the involvement of multiple agents. This study employs a random forest machine learning algorithm to represent these complex interactions with limited information about shipment transportation. The data are from commercial travel […]