Abstract
As technology continues to evolve and our lives become smarter, tools can help us complete our daily tasks more efficiently. One of the most important developments of our age is the Internet of Things (IoT), which connects different smart devices such as smartphones, smart refrigerators, smart watches, smart alarms, smart door locks and more. Communicate with each other and exchange information seamlessly. We now use IoT technology for our daily activities such as transportation. Studies on smart transportation are of particular interest to researchers as it has the potential to change the way we move people and goods. IoT has many benefits for drivers in smart cities, including traffic control, traffic management, efficient parking and security measures. Some examples of its applications include road sensing, parking, lighting, collision avoidance, irregularities and roads. In this article, we want to better understand the development of these applications and review current research based on applications in these areas. Our aim is to provide an independent analysis of the different technologies used in smart transportation today and their challenges. Our method includes literature review on smart transportation and its applications. We also examine communication technologies that support intelligent transportation, such as Wi-Fi, Bluetooth and mobile phones, and how they facilitate data exchange. We take a look at the different models used in smart transportation, including cloud computing, edge
computing, and FoG computing. Finally, we describe current challenges in transport knowledge and propose future research directions. We will examine data privacy and security issues, network scalability, and interoperability of different IoT devices.
Keywords: smart transportation; internet of things; intelligent systems; distributed
systems; smart transportation applications
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