4.5 Article

Digital twins and artificial intelligence in transportation infrastructure: Classification, application, and future research directions

Journal

COMPUTERS & ELECTRICAL ENGINEERING
Volume 101, Issue -, Pages -

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.compeleceng.2022.107983

Keywords

Transport infrastructure; Artificial intelligence; Digital twins; Damage detection; Traffic spatial information network

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This article presents the current research status and predictions of artificial intelligence in the intelligent development of transportation infrastructure in smart cities. It emphasizes the advantages of Digital Twins and AI in classification and information network management, providing reference for the intelligent development of transportation infrastructure in smart cities.
Artificial Intelligence (AI) technology is extensively applied in all walks of life with continuous acceleration of the construction of smart cities. The current research status of intelligent development of transportation infrastructure is classified and predicted oriented to smart cities, which is mainly based on space type, function type, and facility use. The classification is mainly between residents and vehicles, between and vehicles, and between vehicles and transportation systems. The related scholars analyzed that Digital Twins (DTs) technology and AI technology show significant advantages in the classification of transportation infrastructure and the management of transportation spatial information network. The intelligent development of transportation infrastructure is analyzed, and it is predicted in functional design, intelligent development, and effective integration with new media, aiming to provide a reference for the subsequent intelligent development and construction of transportation infrastructure in smart cities.

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