Abstract
A two Stage Fuzzy Logic Adaptive Traffic Signal Control for an Isolated Intersection Based on Real Data using SUMO Simulator
Highlights
Today, the number of vehicles is increasing rapidly and traffic congestion are a major problem in big cities
We propose a two-stage traffic signal system at an isolated intersection, using a technique based on fuzzy logic to control traffic signals
A two stage traffic light system fuzzy logic-based for real-time traffic monitoring has been proposed to dynamically manage both the phase and green time of traffic lights for an isolated signalized intersection, show better performance compared to conventional traffic control in terms of average delay time [2]
Summary
The number of vehicles is increasing rapidly and traffic congestion are a major problem in big cities. Related Works: Recently, many researchers have focused on finding a new way to control signals that adjusted the timing and phase of the lights to reduce traffic congestions They present a novel fuzzy model for an isolated signalized intersection, results show that the performance of the proposed model is better that of fixed time control in terms of average waiting time [4]. A two stage traffic light system fuzzy logic-based for real-time traffic monitoring has been proposed to dynamically manage both the phase and green time of traffic lights for an isolated signalized intersection, show better performance compared to conventional traffic control in terms of average delay time [2]. The output (urgency degree) has five membership functions (Zero, Low, Medium, High, Very High) (see Fig 3)
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