Digital twin technology and intelligent transportation systems (ITSs) are two related technologies that are transforming the transportation industry. Digital twin technology is a virtual replica of a physical object or system, such as transportation infrastructure or a vehicle. It allows for the real-time supervision or monitoring, analysis, and reconstruction of the work behavior of a physical system. In transportation, a digital twin can be used to model and monitor traffic flow, vehicle performance, road conditions, and other factors that impact the transportation system. The Internet of Things (IoT) is a collection of millions of interconnected devices that work seamlessly with each other. Its rapid emergence and evolution are two of the main factors that have raised the bar for creating innovative applications. In the digital era, artificial intelligence and the Internet of Everything (IoE), which are based on IoT, can enhance the work–life balance of users and other people. It can also be used to optimize the use of their resources. Intelligent transportation systems (ITSs) with IoT-enabled devices can be used to reduce traffic congestion. An ITS can be defined as a transportation system that has been improved thanks to its use of various technologies. The major purposes of an intelligent transportation system (ITS) are to evaluate and create analytical work and integrate a system with new technologies or innovations to achieve the target of traffic efficiency, improve environmental factors, save energy, save time, and ensure safety and security. This framework allows for the creation and implementation of the various components of a big data system and integrates them into the IoE or sensors. This case study describes the various components of the Internet of Things platform, where these components allow for a flexible and dynamic setup.


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    Title :

    Combining Digital Twin Technology and Intelligent Transportation Systems for Smart Mobility


    Contributors:

    Published in:

    Publication date :

    2024-05-26


    Size :

    16 pages




    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English





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