Vision-Based Adaptive Traffic Light Controller for Single Intersection

This study presents a novel approach to develop a traffic light controller using FPGA and Arduino platforms. The objective is to design a robust, adaptable, and efficient traffic management system. Methodology involves hardware integration of FPGA for real-time processing and Arduino for interfacing with sensors and actuators. The proposed system utilizes FPGA's parallel processing capabilities for rapid decision-making and Arduino's flexibility for sensor data acquisition and actuator control. Performance evaluation includes simulation and real-world testing to assess reliability, response time, and scalability. Results demonstrate the effectiveness of the proposed controller in optimizing traffic flow and improving intersection safety.

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Vision-Based Adaptive Traffic Light Controller for Single Intersection

Cited by 2 publications

References 15 publications

Approach for Detecting Junctions in Roundabout Using Map Data

Approach for Detecting Junctions in Roundabout Using Map Data

Advanced Traffic Light Controller using FPGA and ARDUINO

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