A review on real vehicle usage modelling of driverless multipurpose vehicles in vehicle routing problems

DS 122: Proceedings of the Design Society: 24th International Conference on Engineering Design (ICED23)

Year: 2023
Editor: Kevin Otto, Boris Eisenbart, Claudia Eckert, Benoit Eynard, Dieter Krause, Josef Oehmen, Nadège Troussier
Author: Andreolli, Raphael (1,2,3,5); Nybacka, Mikael (1,2); O'Reilly, Ciarán J. (1,3); Jenelius, Erik (4); Falkgrim, Eric (5)
Series: ICED
Institution: 1: KTH Royal Institute of Technology, Division of Vehicle Engineering and Solid Mechanics, Department of Engineering Mechanics, Stockholm, Sweden; 2: Integrated Transport Research Lab (ITRL), KTH Royal Institute of Technology, Stockholm, Sweden; 3: Centre for ECO2 Vehicle Design, KTH Royal Institute of Technology, Stockholm, Sweden; 4: KTH Royal Institute of Technology, Department of Civil and Architectural Engineering, Stockholm, Sweden; 5: Scania CV AB, Södertälje, Sweden
Section: Design Methods
Page(s): 0385-0394
DOI number: https://doi.org/10.1017/pds.2023.39


Real vehicle usage rarely matches the predictions made during early phases of vehicle development and sales processes at commercial road vehicle manufacturers. The automotive industry needs multidisciplinary vehicle design methods to predict real-world vehicle operations by considering the vehicle level and the transport system level simultaneously, in a more holistic approach. The aim of this study was to analyse how realistic vehicle usage of driverless multipurpose vehicles can be modelled in Vehicle Routing Problems (VRPs) by conducting a systematic literature review. We found that real vehicle usage modelling of driverless multipurpose vehicles in VRPs mainly depended on the following elements: VRP variant, energy consumption model, energy consumption rate class, number of vehicle-specific design variables and transport system-level factors. Furthermore, we identified in the literature five classes of energy consumption rate edge behaviour in VRPs. These findings can support decision-making in the modelling process to select the most suitable combination of elements, and their level of detail for the overall modelling aim and purpose.

Keywords: Design engineering, Product modelling / models, Early design phases, Vehicle routing problem, Energy consumption

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