IoT and an Intelligent Cloud-Based Framework to Build a Smart City Traffic Management System

Abstract

Congestion is a major issue in all metropolitan cities, particularly in urban areas. Using smart technologies, Cities may be extraordinary and can be transformed into “smart cities”. The Internet of Things (IoT) is a new paradigm in computing that seems to have the capacity to enhance impact in smart city implementation. For smart cities, IoT and cloud-based road traffic technologies are proposed in this article. The overarching goal is to use cloud computing to resolve some of the IoT’s present issues and limits to create upgraded solutions for smarter cities. With the combination of IoT and cloud computing, smart cities will be able to generate novel and enhanced facilities by utilizing large amounts of data saved in the cloud and analyzing it in real-time. This study proposes a method for real-time traffic control that combines the Internet of Things (IoT) and data analytics. After analyzing sensor data, the device controller uses a traffic management algorithm to set the Wi-Fi module to collect data from traffic signals and transfers it to a cloud server. The proposed system will forecast the likelihood of at the intersection, there is a lot of traffic. If an emergency vehicle is not available or identified, the intersection is given priority, with a longer signal length.