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Fuzzy Traffic Light Control Using Cellular Automata for Urban Traffic
سال: 2008
خلاصه:
Vehicular travel which demands on the concurrent operations and parallel activities is increasing throughout the world, particularly in large urban areas.
Fuzzy Q-Learning Traffic Light Control based on Traffic Flow and Pedestrian Number Estimated from Visual Information
ناشر: Ferdowsi University of Mashhad Pressانتشارات دانشگاه فردوسی مشهد
سال: 1397
خلاصه:
A vision-based intelligent traffic control system is a robust framework that controls the traffic flow in real-time by estimating the traffic density near traffic lights. In this paper, a traffic light control system based on fuzzy Q...
Earliest-Deadline-Based Scheduling to Reduce Urban Traffic Congestion
ناشر: IEEE
سال: 2014
Heat therapy HIFU transducer electrical impedance modeling by using FEM
ناشر: IEEE
سال: 2014