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Heavy commercial vehicles' disposition: Anonymized dataset of German truck freight transport order trips (DT-DISPO)
Tom Winkler1, Marcel Brödel1, Laura Heindl1
1Technical University of Munich, TUM School of Engineering and Design, Chair of Automotive Technology, Boltzmannstr. 15, 85748 Garching, Germany.
Abstract:
This article presents an anonymized dataset of real-world transport order trip data spanning a total operational period of 16 months. The original data has been provided by two German freight forwarding companies as an export from their respective Transport Management System (TMS). All personal and company-identifiable information has been anonymized to ensure privacy while maintaining relational integrity for research purposes. The dataset comprises 31,352 disposition records from two fleet operators: one with a fleet of 37 heavy-duty vehicles spanning a continuous 5-month period in 2024, and the second with 83 heavy-duty vehicles spanning a continuous 10-month period in 2024. Both fleets comprise only internal-combustion engine vehicles. The dataset provides granular data regarding start and end locations (coordinates), schedule time windows, driving distances, allocated vehicles, and allocated drivers. This dataset can be used by researchers in logistics and transportation engineering to develop and benchmark vehicle routing and disposition/dispatching algorithms, analyse freight transport behaviour, develop demand prediction models, or novel electric vehicle disposition modelling.
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