The Positive Impacts of Artificial Intelligence in Highway Transport
Glory Chinwe Ugo *
Department of Civil and Environmental Engineering, University of Lagos, Nigeria.
A. C. Apata
Department of Civil and Environmental Engineering, University of Lagos, Nigeria.
Praise Onimisi Dawodu
Department of Civil and Environmental Engineering, University of Lagos, Nigeria.
*Author to whom correspondence should be addressed.
Abstract
This Master's thesis titled "The Positive Impacts of Artificial Intelligence in Highway Transport," explores the transformative effects of artificial intelligence in highway transport from the perspective of users and stakeholders. Focusing on key areas such as traffic control/management, smart traffic lights, predictive maintenance, and autonomous vehicles [1,2], the study employs an in-depth survey analysis using questionnaires. Results indicate notable improvements, with a 24.9% increase in traffic safety, 23.6% reduction in congestion, 15% boost in mobility, 14.7% enhancement in sustainability, and a 21.7% increase in efficiency. These findings offer insights into user/stakeholder perceptions of current artificial intelligence applications in highway transport and their potential benefits. The thesis also evaluates limitations to artificial intelligence implementation in highway transport, providing valuable perspectives for policymakers, industry stakeholders, and researchers.
Keywords: Artificial Intelligence, highway transport, positive impacts, autonomous vehicles, sustainability, congestion, mobility, stakeholders