This review paper explores the role of artificial intelligence (AI)-driven technologies in transforming road transportation systems within smart cities. Adopting a granular approach to the selected research, it examines the extent to which these technologies contribute to creating intelligent road networks, beginning with their integration into the conceptualization and design of road space. Through a comprehensive review of recently published indexed articles, the study addresses key questions regarding AI’s contribution to smart road systems and their ability to adapt during the transition toward sustainable, technology-enabled urban environments. Additionally, it investigates the boundaries between relevant disciplines, areas of overlap and integration, and the benefits of interdisciplinary dialogue in developing effective AI-driven approaches for the design, implementation, and management of smart urban road systems. The findings aim to guide future research, policymaking, and practical applications, ultimately enhancing urban mobility, quality of life, and user experience within smart city contexts. The scope of this research encompasses a wide range of stakeholders involved in transportation and related fields, fostering a multidisciplinary perspective on sustainable urban mobility.
Tumminello, M.L., Macioszek, E., Grana, A. (2025). Emerging Cutting-Edge Technologies and Applications for Safer, Sustainable, and Intelligent Road Systems in Smart Cities: A Review. APPLIED SCIENCES, 15(21), 1-40 [10.3390/app152111583].
Emerging Cutting-Edge Technologies and Applications for Safer, Sustainable, and Intelligent Road Systems in Smart Cities: A Review
Maria Luisa Tumminello;Anna Grana
2025-10-29
Abstract
This review paper explores the role of artificial intelligence (AI)-driven technologies in transforming road transportation systems within smart cities. Adopting a granular approach to the selected research, it examines the extent to which these technologies contribute to creating intelligent road networks, beginning with their integration into the conceptualization and design of road space. Through a comprehensive review of recently published indexed articles, the study addresses key questions regarding AI’s contribution to smart road systems and their ability to adapt during the transition toward sustainable, technology-enabled urban environments. Additionally, it investigates the boundaries between relevant disciplines, areas of overlap and integration, and the benefits of interdisciplinary dialogue in developing effective AI-driven approaches for the design, implementation, and management of smart urban road systems. The findings aim to guide future research, policymaking, and practical applications, ultimately enhancing urban mobility, quality of life, and user experience within smart city contexts. The scope of this research encompasses a wide range of stakeholders involved in transportation and related fields, fostering a multidisciplinary perspective on sustainable urban mobility.| File | Dimensione | Formato | |
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