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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
Article Submitted : 21686
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Total Authors : 22487
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| Paper Title: | Traffic Optimisation using Reinforcement Learning: A Decentralized and Hardware - Based Solution |
| Authors Name: | Dr.M.Ramachandra , Chittaloori Rekha , Mirupuri Aashreya , Battini Deekshitha Reddy |
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IJRTI_203474
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| Published Paper Id: | IJRTI2505077 |
| Published In: | Volume 10 Issue 5, May-2025 |
| DOI: | |
| Abstract: | Urban traffic congestion seriously challenges transportation efficiency, safety, and sustainability, usually leading to excessive delays, higher fuel usage, and environmental pollution. In this paper, we introduce a decentralized traffic signal control system using Reinforcement Learning (RL), where every intersection acts as an autonomous agent using tabular Q-learning for decision-making. As opposed to traditional deep learning or centralized methods, ours focuses on simplicity, scalability, and practical applicability. For improving training stability and coverage, we use a pseudo-random event-based simulation method with the SUMO traffic simulator to allow the agent to generalize over diverse traffic patterns. Our system has a minimum green signal duration constraint to mimic real traffic policies and to provide smoother transition. In addition, we couple the model with Arduino hardware to test its viability in real-world settings. Testing on several traffic grid settings shows considerable minimization of vehicle waiting time and enhanced overall traffic flow, revealing the viability of our method for real-world implementations in intelligent transportation systems. |
| Keywords: | Reinforcement Learning, Traffic Signal Control, Smart Cities, SUMO Simulator, Q-learning, Decentralized Systems, Arduino Integration, Intelligent Transportation Systems, Event-Based Simulation, Real- Time Decision Making |
| Cite Article: | "Traffic Optimisation using Reinforcement Learning: A Decentralized and Hardware - Based Solution", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 5, page no.a655-a659, May-2025, Available :http://www.ijrti.org/papers/IJRTI2505077.pdf |
| Downloads: | 000422 |
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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 |
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Published Paper ID: IJRTI2505077
Registration ID:203474
Published In: Volume 10 Issue 5, May-2025
DOI (Digital Object Identifier):
Page No: a655-a659 Country: Medchal-Malkajgiri, Telangana, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2505077 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2505077 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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