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A REVIEW ON REAL VEHICLE USAGE MODELLING OF DRIVERLESS MULTIPURPOSE VEHICLES IN VEHICLE ROUTING PROBLEMS

Published online by Cambridge University Press:  19 June 2023

Raphael Andreolli*
Affiliation:
KTH Royal Institute of Technology, Division of Vehicle Engineering and Solid Mechanics, Department of Engineering Mechanics, Stockholm, Sweden; Integrated Transport Research Lab (ITRL), KTH Royal Institute of Technology, Stockholm, Sweden; Centre for ECO2 Vehicle Design, KTH Royal Institute of Technology, Stockholm, Sweden; Scania CV AB, Södertälje, Sweden
Mikael Nybacka
Affiliation:
KTH Royal Institute of Technology, Division of Vehicle Engineering and Solid Mechanics, Department of Engineering Mechanics, Stockholm, Sweden; Integrated Transport Research Lab (ITRL), KTH Royal Institute of Technology, Stockholm, Sweden;
Ciarán J. O'Reilly
Affiliation:
KTH Royal Institute of Technology, Division of Vehicle Engineering and Solid Mechanics, Department of Engineering Mechanics, Stockholm, Sweden; Centre for ECO2 Vehicle Design, KTH Royal Institute of Technology, Stockholm, Sweden;
Erik Jenelius
Affiliation:
KTH Royal Institute of Technology, Department of Civil and Architectural Engineering, Stockholm, Sweden;
Eric Falkgrim
Affiliation:
Scania CV AB, Södertälje, Sweden
*
Andreolli, Raphael Gunnar Paulo, KTH Royal Institute of Technology, Sweden, [email protected]

Abstract

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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.

Type
Article
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2023. Published by Cambridge University Press

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