Density Based Traffic Management System for Smart Cities

Abstract

In most cities throughout the world, traffic congestion is a serious issue that has turned into a nightmare for the locals. It is brought on by signal delay, improper traffic signal timing, etc. Traffic does not affect the hard-coded traffic light delay, which is independent of it. Consequently, there is an increasing need for systematic quick automatic systems to optimise traffic control. This essay is intended to Upon detecting the level of traffic at the intersection, the signal time adjusts automatically. This work makes use of a Raspberry Pi microcontroller. Modern technology is being used to optimise traffic flow in cities, including the density-based traffic management system for smart cities. This technology uses a variety of sensors and cameras to gather real-time traffic information that is then analysed to spot congested regions and forecast future traffic trends. This data is used by the system to dynamically change traffic signal timings, redirect traffic to less crowded routes, and give drivers and pedestrians real-time information via mobile apps and electronic signage. This system offers a more effective, safe, and sustainable solution to managing urban traffic by utilising cutting-edge technologies like artificial intelligence, machine learning, and the Internet of Things (IoT). This system decreases travel times and carbon emissions while enhancing the quality of life for city dwellers.