AI-Driven Traffic Management Systems In Smart Cities: A Review

Abstract

Over the past few decades, the number of cars worldwide has increased substantially. Nevertheless, the rate of congestion significantly increases due to the lack of proportional expansion in road capacity. In order to tackle this complex problem, the researchers opt to utilize the existing infrastructure in a smarter and more effective manner through the implementation of adaptive traffic management. The multitude of recently proposed methodologies have been developed using emerging technologies such as Artificial Intelligence (AI), Internet of Things (IoT), and Big Data. Given the growth of cities and the resulting rise in traffic congestion, it is imperative to improve the level of intelligence in our urban areas. This entails employing modern technology to efficiently manage resources and enhance urban living. The intelligent traffic system refers to a sophisticated computer system that leverages Artificial Intelligence (AI) to regulate traffic in smart cities. The goal is to improve the movement of vehicles, reduce traffic jams, and optimize the transportation systems in cities. The sophisticated Traffic Management System employs cameras, sensors, and GPS to swiftly collect traffic data. An artificial intelligence system utilizes data analysis to predict traffic conditions by considering elements such as time, weather, and events. The system alters traffic lights, redirects traffic, and adapts bus timetables according to the present conditions in the city. The system consistently acquires knowledge and guarantees effective functioning in the busy urban area.