Authors : Taha Abdulwahid MAHMOOD; Muzamil Eltejani Mohammed ALI

Volume/Issue : Volume 10 - 2025, Issue 1 - January

Google Scholar : https://tinyurl.com/bdewc35s

Scribd : https://tinyurl.com/mt27v358

DOI : https://doi.org/10.5281/zenodo.14621424

Abstract : In today's world, transportation vehicles are essential for meeting mobility needs and moving goods efficiently. To reduce average waiting times across varying traffic flow rates, a two-stage, three-module fuzzy logic system has been developed for real-time management of signalized junctions. The first stage includes two modules: the "next phase selection module," which monitors traffic conditions of all red phases (except the current green) and selects the most urgent one based on 30 fuzzy rules. The "extension time module" assesses the green phase's traffic conditions to decide whether to stop or extend it, using 12 fuzzy rules. The second stage features a "decision module" with 10 fuzzy rules, which determines whether to replace or maintain the current green phase based on inputs from the previous modules. This system was implemented using the SUMO traffic simulation tool, utilizing real-world traffic data from a congested intersection in Kilis, Turkey. The fuzzy logic traffic management system outperformed conventional fixed-time control, achieving substantial reductions in average waiting times: 76.46%, 56%, 50%, and 60% for the four analyzed areas.

Keywords : Fuzzy Logic, Simulation Of Urban Mobility, Intelligent Traffic Control, Isolated Junction, Vehicles.

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