Impact of Autonomous Solutions on Electric Earthmoving Design Using Machine Learning: Case Study

DS 116: Proceedings of the DESIGN2022 17th International Design Conference

Year: 2022
Editor: Mario Štorga, Stanko Škec, Tomislav Martinec, Dorian Marjanović
Author: Anthony Abdelmassih, Rafic Faddoul, Fadi Geara
Series: DESIGN
Institution: Ecole Superieur d’Ingenieurs de Beyrouth (ESIB), USJ, Beirut, Lebanon
Section: Artificial Intelligence and Data-Driven Design
Page(s): 1491-1500
DOI number:
ISSN: 2732-527X (Online)


The increased development in automated driving systems (ADS) has opened up significant opportunities to revolutionize mobility and to set the path for technologies, such as electrification. The proposed methodology is a simulation model backed by a multi-objective optimization algorithm. This research investigates the adoption of future technologies in earthmoving application and explores its implications on the design of future machine concepts in terms of equipment size. The shift from “elephant to ants” in the machine selection, resulted in improved feasibility.

Keywords: conceptual design, product development, autonomous vehicles, electromobility, machine learning

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