QUEUEING THEORY APPLICATIONS IN IOT NETWORKS: MANAGING HEAVY TRAFFIC IN SMART CITIES
Gunjan Bhagat
Computer Science
June 2024
Traffic congestion is a pervasive problem affecting millions worldwide, exacerbated by increasing populations and vehicle numbers across both developed and developing countries. Traditional traffic management systems have proven inadequate in alleviating this issue efficiently. This paper proposes a novel approach integrating an open Jackson Queueing network model with quadratic optimization for dynamic traffic management. The model aims to simulate traffic systems, make data-driven decisions on signal timings based on real-time data inputs, and optimize customer waiting times at junctions. By leveraging these advanced techniques, the proposed autonomous traffic management system seeks to address the challenges posed by growing urban traffic volumes effectively.
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