The objective of this endeavor is to develop a dynamic traffic signal system that adjusts the timing of traffic signals based on the density of traffic at any given junction. Traffic jam is a major issue in most cities worldwide, and there is a need to transition from manual or fixed timer-based traffic signal systems to automated systems with decision-making capabilities. Current traffic signal systems are based on fixed time intervals, which can be inefficient if one lane is more active than the others. To solve this problem, we propose a smart traffic management system that adjusts the green and red-light timings based on the traffic density. This is accomplished using Proximity Infrared Sensors (PIR). Once the density is calculated, the microcontroller (Arduino) determines the duration of the green light. Sensors on the sides of the road detect the presence of vehicles and transmit information to the microcontroller, which decides how long a lane should be open or when to switch signal lights. The subsequent sections provide a detailed explanation of the framework.


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    Title :

    Arduino-Powered Traffic Density Monitoring and Control


    Contributors:


    Publication date :

    2023-11-23


    Size :

    415219 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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