Real-Time Traffic Density Management System
Keywords:
Arduino mega 2560, Arduino nano, RFID technology, Smart traffic system, Traffic management, Ultrasonic sensors, Vehicle priorityAbstract
Traffic congestion is a critical issue in urban areas, leading to increased travel time, fuel consumption, and environmental pollution. Traditional traffic light systems operate on fixed time cycles, which often fail to adapt to real-time traffic conditions, causing unnecessary delays. This paper presents a real-time traffic density management system that dynamically adjusts traffic light durations based on vehicle density and priority. The proposed system integrates ultrasonic sensors (HC-SR04), RFID technology (RC522 module), and Arduino microcontrollers (Mega 2560 & Nano) to optimize traffic flow efficiently. The system consists of four ultrasonic sensors placed at different lanes to measure vehicle density in real-time. Based on the data collected, an Arduino-based algorithm determines the optimal signal timing for each lane, reducing congestion. Additionally, RFID technology is implemented to detect emergency vehicles (such as ambulances, fire trucks, and police vehicles), ensuring immediate signal clearance for high-priority vehicles. The signal control is achieved using LED indicators and a signal light module, powered by a 12V DC power supply. This research aims to enhance urban traffic management by offering an automated, cost-effective, and scalable solution. The experimental results demonstrate that the proposed system significantly improves traffic flow efficiency, reduces waiting time, and prioritizes emergency vehicles effectively. Future enhancements could include integrating machine learning algorithms and IoT connectivity for advanced predictive traffic control.
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