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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: February 2026
Volume 11 | Issue 2
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Impact Factor : 8.14
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| Paper Title: | An Intelligent Urban Traffic Management framework based on Fuzzy Theory |
| Authors Name: | Md Nazir Hussain |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_208963
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| Published Paper Id: | IJRTI2601006 |
| Published In: | Volume 11 Issue 1, January-2026 |
| DOI: | https://doi.org/10.56975/ijrti.v11i1.208963 |
| Abstract: | Urban traffic congestion has become a major issue as a result of growing urbanization, diverse traffic composition, and unpredictable driving behavior. Conventional traffic signal control systems, such as fixed-time and actuated controllers, rely on exact sensor inputs and are inflexible in the face of changing traffic conditions. This research offers a fuzzy logic-based Intelligent Traffic Management System (ITMS) that can handle imprecision by using linguistic factors and human-like reasoning. A Mamdani-type Fuzzy Inference System (FIS) may be designed using traffic density, queue length, and waiting time as input variables and adaptive green-time extension and phase priority as outputs. The proposed system may be constructed and assessed using SUMO (Simulation of Urban Mobility). Performance is compared against fixed-time and actuated signal controllers based on criteria including average delay, queue length, throughput, and anticipated environmental impact. Simulation results reveal a reduction in average waiting time of up to 35% and a 20-40% decrease in queue length, especially under peak traffic circumstances. The findings demonstrate that fuzzy logic-based control is a reliable, scalable, and practical option for real-time urban traffic management, particularly in the mixed-traffic settings found in developing cities. |
| Keywords: | Fuzzy Logic, Intelligent Traffic Management, SUMO Simulation, Urban Traffic Control. |
| Cite Article: | "An Intelligent Urban Traffic Management framework based on Fuzzy Theory", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.11, Issue 1, page no.a30-a33, January-2026, Available :http://www.ijrti.org/papers/IJRTI2601006.pdf |
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| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
| Publication Details: |
Published Paper ID: IJRTI2601006
Registration ID:208963
Published In: Volume 11 Issue 1, January-2026
DOI (Digital Object Identifier): https://doi.org/10.56975/ijrti.v11i1.208963
Page No: a30-a33 Country: Dhubri, Assam, India Research Area: Mathematics Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2601006 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2601006 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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