This paper introduces a density-based traffic control system aimed at optimizing traffic management at intersections. Utilizing Arduino mega 2560, sensor technology, and an LCD display, the system dynamically adjusts signal timings in response to varying traffic densities. By incorporating infrared sensors for vehicle detection and a sound sensor to prioritize emergency vehicles, the system intelligently allocates green light durations to different roadways, minimizing congestion and ensuring smoother traffic flow. Categorizing traffic into high, moderate, and low-density scenarios enhances the system's adaptability to changing traffic conditions. Overall, this paper offers a practical solution for enhancing road safety, reducing travel times, and improving transportation efficiency in urban environments through intelligent traffic control with visual feedback provided by the LCD display.


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    Title :

    Density Based Traffic Control System


    Contributors:


    Publication date :

    2025-02-13


    Size :

    1044067 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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