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PIARC (World Road Association), founded in 1909 and comprising 125 member governments from all over the world, is the global forum for exchange of knowledge and experience on roads, road transport policies and practices. With consultative status to the Economic and Social Council of the United Nations, the Association is contributing to a stable and sustainable global development of the road and transport sector.

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Artificial Intelligence in the Road Sector

Artificial Intelligence (AI) is emerging as a transformative force in the road sector, offering substantial opportunities to improve safety, efficiency, and sustainability. Commissioned under PIARC's Special Projects programme, this study carried out by Roughan & O'Donovan Ltd., provides a comprehensive assessment of AI's current and future role in road infrastructure planning, design, construction, operation, and maintenance. The research findings are presented in two complementary documents: the full-length report, offering an in-depth technical analysis, and a high-impact summary, designed to communicate key findings and recommendations to senior decision-makers. The research, grounded in literature review, stakeholder engagement, and international case studies, examines AI's potential across diverse socio-economic contexts, from High-Income Countries (HICs) to Low-Income Countries (LICs). The reports highlight both the benefits - such as enhanced road safety, improved asset management, and optimised traffic operations - and the challenges, including data quality, governance, and workforce readiness. Tailored recommendations are provided to help administrations and PIARC members navigate the transition towards effective AI integration by 2030. Together, these reports provide a valuable knowledge base to guide countries at varying stages of AI maturity towards safer, more efficient, and sustainable road systems.

Information sheet

  • Date: 2024
  • Type: 2024SP03EN - High impact summary
  • PIARC Ref.: 2024SP03
  • ISBN: 978-2-84060-775-5
  • Number of pages: 42