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New Study by the TSYS School’s Ge Reviews Latest Research on Smart Transportation

TSYS School computer science professor Linqiang Ge and a team of faculty from Sam Houston State University have joined to publish a review of the latest research on the Internet of Things (IoT), which is the advancement that interconnects various smart devices (such as smart mobiles, intelligent refrigerators, smartwatches, smart fire alarms, smart door locks, and many more) allowing them to communicate with each other and exchange data seamlessly.  As their review indicates, we now use IoT technology to assist in many of life’s daily activities, such as smart transportation.  IoT provides drivers in a smart city with many benefits, including traffic management, improved logistics, efficient parking systems, and enhanced safety measures.  When encompassing machine learning and big data, smart transportation involves the optimization of routes, parking, street lighting, accident prevention, detection of abnormal traffic conditions, and maintenance of roads.  The study by Ge and his colleagues, which appears in the current issue of Sensors, represents a self-contained review of studies from IEEE Xplore, ACM Digital Library, Science Direct, and Springer on the different technologies used in smart transportation today and their respective challenges.  The review focuses on a number of areas, including the communication mechanisms, architectures, and frameworks that enable smart transportation applications and systems.  It also explores the communication protocols enabling smart transportation, including Wi-Fi, Bluetooth, and cellular networks, and how they contribute to seamless data exchange.  Lastly, another specific area of focus concerns the different architectures and frameworks used in smart transportation, including cloud computing, edge computing, and fog computing.  

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