A REVIEW ON DENSITY BASED TRAFFIC SIGNAL CONTROL SYSTEM

Traffic congestion is a significant challenge faced by urban areas worldwide, leading to wasted time, fuel, and increased pollution. Traditional traffic signal control systems often fail to adapt to dynamically changing traffic conditions, resulting in inefficient traffic flow. To address this issue, a density-based traffic signal control system is proposed. This system utilizes real-time traffic density data to dynamically adjust signal timings, aiming to optimize traffic flow and reduce congestion. The proposed system incorporates various components, including sensors, data processing units, and signal controllers. Traffic sensors, such as cameras or induction loops, are deployed at intersections to collect real-time traffic density information. This data is then transmitted to a central processing unit, where advanced algorithms analyze it to determine the optimal signal timings for each intersection. The key innovation of the density-based traffic signal control system lies in its adaptive nature. Unlike traditional fixed-time signal systems, which operate on pre-defined timings, this system continuously evaluates traffic conditions and adjusts signal timings accordingly. By prioritizing intersections with higher traffic densities, the system allocates more green time to congested directions, thereby facilitating smoother traffic flow.