scholarly journals A two Stage Fuzzy Logic Adaptive Traffic Signal Control for an Isolated Intersection Based on Real Data using SUMO Simulator

2019 ◽  
Vol Volume-3 (Issue-4) ◽  
pp. 656-659 ◽  
Author(s):  
Taha Mahmood ◽  
Muzamil Eltejani Mohammed Ali ◽  
Akif Durdu ◽  
Keyword(s):  
Fuzzy Logic ◽  
Real Data ◽  
Traffic Signal ◽  
Signal Control ◽  
Traffic Signal Control ◽  
Two Stage ◽  
Adaptive Traffic Signal Control ◽  
Isolated Intersection

scholarly journals A Two-Stage Fuzzy Logic Control Method of Traffic Signal Based on Traffic Urgency Degree

2014 ◽  
Vol 2014 ◽  
pp. 1-6 ◽  
Author(s):  
Yan Ge
Keyword(s):  
Fuzzy Logic ◽  
Traffic Congestion ◽  
Fuzzy Logic Controller ◽  
Fuzzy Inference ◽  
Control Method ◽  
Red Light ◽  
Traffic Signal ◽  
Signal Control ◽  
Traffic Signal Control ◽  
Two Stage

City intersection traffic signal control is an important method to improve the efficiency of road network and alleviate traffic congestion. This paper researches traffic signal fuzzy control method on a single intersection. A two-stage traffic signal control method based on traffic urgency degree is proposed according to two-stage fuzzy inference on single intersection. At the first stage, calculate traffic urgency degree for all red phases using traffic urgency evaluation module and select the red light phase with large traffic urgency as the next phase to switch. At the second stage, green delay of the current green phase is determined by fuzzy inference based on the amount of vehicles of current green phase and next green phase. The average vehicle delays are used to evaluate the performance of the fuzzy signal controller. Finally, comparisons have been made with pretimed controller and fuzzy logic controller without considering the urgency of red phase. Simulation results show the performance of our proposed method.

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