Article
Version 1
Preserved in Portico This version is not peer-reviewed
Novel Intelligent Traffic Light Controller Design
Version 1
: Received: 20 June 2024 / Approved: 20 June 2024 / Online: 21 June 2024 (02:47:51 CEST)
A peer-reviewed article of this Preprint also exists.
Zahwa, F.; Cheng, C.-T.; Simic, M. Novel Intelligent Traffic Light Controller Design. Machines 2024, 12, 469. Zahwa, F.; Cheng, C.-T.; Simic, M. Novel Intelligent Traffic Light Controller Design. Machines 2024, 12, 469.
Abstract
Efficient traffic flow management at intersections is vital for optimizing urban transportation networks. This paper presents a comprehensive approach to refining traffic flow by analyzing the capacity of roads and integrating fuzzy logic-based traffic light control systems. We were examining the capacity of roads connecting intersections, considering factors such as road vehicle capacity, vehicle speed, and traffic flow volume, through detailed mathematical modelling and analysis. Control is determined by the maximum capacity of each road segment, providing valuable insights into traffic flow dynamics. Building upon this capacity and flow analysis, the research introduces a novel Intelligent Traffic Light Controller (ITLC) system based on fuzzy logic principles. By incorporating real-time traffic data and lever-aging fuzzy logic algorithms, our ITLC system dynamically adjusts traffic light timings to optimize vehicle flow at two intersections. The paper discusses the de-sign and implementation of the ITLC system, highlighting its adaptive capabilities in response to changing traffic conditions. Simulation results are presented, demonstrating effectiveness of the ITLC system in improving traffic flow and re-ducing congestion at intersections. Furthermore, this research provides an analysis of the mathematical models used to calculate road capacity, offering insights into the underlying principles of traffic flow optimization. Through the simulation, we have validated accuracy and reliability of our controller.
Keywords
Fuzzy Controller; Traffic Light Controller; Traffic Simulation; Transportation; Network; SUMO
Subject
Engineering, Transportation Science and Technology
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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