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RoadAI: Reducing emissions in road construction

Abstract

This challenge aims to reduce CO2 emissions from Norwegian construction machines by utilizing data-driven approaches.Skanska Norge AS provides a wealth of data from their construction sites, including GPS data, machine data, vibration data, and drone maps. The challenge focuses on using this data to optimize road construction processes for increased sustainability. Participants are tasked with developing feasible solutions to reduce idle time, optimize dump truck flow, minimize unnecessary driving, and improve driving styles. The evaluation criteria consider the novelty of the algorithms, feasibility of implementation, and the sustainable impact. The competition encourages innovative approaches to leverage data for sustainable construction practices.
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Category

Academic article

Language

Other

Author(s)

  • Signe Riemer-Sørensen
  • Helga Margrete Bodahl Holmestad
  • Lars Horn
  • Katarzyna Michalowska
  • Bjørn-Jostein Singstad
  • Sabry Razick
  • Jacob Christian Døskeland
  • Birte Malene Tangeraas Hansen

Affiliation

  • SINTEF Digital / Mathematics and Cybernetics
  • University of Oslo
  • Vestfold Hospital Trust
  • Akershus University Hospital Trust

Date

22.08.2023

Year

2023

Published in

Nordic Machine Intelligence (NMI)

Volume

3

Issue

3

Page(s)

4 - 4

View this publication at Norwegian Research Information Repository