The Implementation of Intelligent Traffic Management System in Solving Traffic Congestion: A Survey of Federal Route 3214

Abstract

Due to advancements in the automobile industry’s technology, the usage of private vehicles, particularly cars, by civilians has grown widespread in this period of globalization. Moreover, the country’s business and trade procedures are improving year after year. This scenario has resulted in significant traffic congestion, air pollution, and inevitable accidents, especially on the Shah Alam-Puchong Highway. As a result, the government proposed the Intelligent Traffic Management System (ITMS) utilising the Internet of Things (IoT) as an alternative to extending the road system, which may be expensive. This method assists authorities in tracking, monitoring, processing, and managing traffic more effectively, therefore reducing traffic congestion concerns. This study report presents a survey on the effectiveness of the ITMS installation on Federal Route 3214 (Shah Alam-Puchong Highway) in reducing traffic congestion. The information gathered is evaluated using Microsoft Excel and the Statistical Package for Social Sciences (SPSS) software. The factors that contribute to traffic congestion and the mean impact of the traffic congestion on road users, society, and the economy of the Shah Alam-Puchong Highway are determined in this study. Furthermore, this study also evaluates the probabilities of IoT hardware utilisation in ITMS at Shah Alam-Puchong Highway.