Comprehensive Survey on Digital Twins in Transportation

Abstract

Smart transportation networks are evolving quickly, necessitating creative solutions to improve sustainability, safety, and efficiency. Digital twins (DTs), which are digital copies of real assets that are updated in real time using data, are becoming a game-changer for transportation infrastructure. This study investigates how DTs can be used to improve autonomous vehicle coordination, predictive maintenance, and traffic management. DTs facilitate dynamic simulation, scenario testing, and decision-making for urban transportation networks by combining artificial intelligence (AI), big data analytics, and equipment of Internet of Things (IoT). This study highlights how DTs have the ability to completely transform transportation operations and planning, providing politicians and urban planners with useful information. Future studies will focus on blockchain integration for safe data exchange among smart cities and edge computing for low-latency DT processing.