Fuzzy logic control and simulation of urban traffic intersections group
Xiaoping Fan
Abstract
Xiaoping Fan
Abstract
This paper presented a fuzzy logic controller and made a comparison of its performance with other controllers. The fuzzy rules was established by gathering the traffic flow information from the detectors placed in different intersections, and the green phase and the phase sequences at an intersection were obtained to control its traffic signals and cooperated with its neighbors. Simulation results show that the presented controller can adapt to the conditions of traffic flow well, and decrease the average delay time at multi-intersections.3 tabs,3 figs,7 refs.
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This paper presented a fuzzy logic controller and made a comparison of its performance with other controllers. The fuzzy rules was established by gathering the traffic flow information from the detectors placed in different intersections, and the green phase and the phase sequences at an intersection were obtained to control its traffic signals and cooperated with its neighbors. Simulation results show that the presented controller can adapt to the conditions of traffic flow well, and decrease the average delay time at multi-intersections.3 tabs,3 figs,7 refs.
Key concepts: Intersection (aeronautics), Fuzzy logic, Controller (irrigation), Traffic flow (computer networking), Fuzzy control system, Control theory (sociology), Group (periodic table), Computer science