Abdelmassih, A; Faddoul, R and Geara, F (2023) Impact of autonomous solutions on earthmoving electrification using machine learning: Case study. Construction Innovation, 23(3), pp. 606-621. ISSN 1471-4175
Abstract
Purpose: This research aims to investigate the adoption of future technologies in earthmoving applications. 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 research also aims to explore the impact of automation on electromobility in earthmoving applications. Design/methodology/approach: This paper adopts a multi-objective simulation-based optimization approach using machine learning in earthmoving applications. Findings: This study concludes that ADS is “conditionally” an enabler for electrification. The study highlights and explains how local and global factors affect this conclusion. In addition to that, the research explores the impact of the equipment size on the integration of future mobility technologies. The shift from “elephant to ants” in the fleet selection resulted in improved feasibility from the integration of ADS in electrification. Originality/value: This research provides fundamental considerations in the assessment of the impact of autonomous driving solutions on electromobility in the construction industry.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | autonomous vehicle; earthmoving; emerging technologies; machine learning; simulation optimization |
| Index terms: | automation, earthmoving, construction industry, emerging technology, mobility, case study, machine learning, integration, methodology, simulation-based optimization |
| Subjects: | data collection methods, innovation and technology management, artificial intelligence, construction operations, automation and robotics, algorithms, research methods, industry analysis, infrastructure and transport systems, organizational analysis |
| Topics: | Digital Applications, Urban Studies, Organizational Design, Site Management, Research Practice |
| Descriptive scope: | 4 PCTE |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here