A Real-Time Traffic Simulator with Adaptive Fuzzy Mechanism

Abstract:

Traffic lights are installed at intersections mostly for traffic management. Intelligent traffic management systems emerge as a need to handle the dynamicity of traffic. These systems are first implemented on simulators in order to mimic the real life situations before realization. The paper has implemented a real time traffic simulator with an adaptive fuzzy inference algorithm that arranges the foreseen light signal duration. It changes the time duration of lights depending on waiting vehicles behind green and red lights at crossroad. The simulation has also been supported with real time graphical visualization. According to inferences from adaptive environment, TSK and Mamdani models have also been implemented to give baselines for verification. Several experiments have been conducted and compared against classical techniques to demonstrate the effectiveness of the proposed method.

• Periodical: Applied Mechanics and Materials (Volumes 543-547)
• Pages: 1254-1257
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.543-547.1254
• Online since: March 2014
• Authors: Wei Min Qi, Jie Xiao*
• Keywords: Adaptive Fuzzy Inference Algorithm, Mamdani, Traffic Management, TSK

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