Intelligent Traffic Control Decision-Making Based on Type-2 Fuzzy and Reinforcement Learning
Yunrui Bi,
Qinglin Ding,
Yijun Du
et al.
Abstract:Intelligent traffic control decision-making has long been a crucial issue for improving the efficiency and safety of the intelligent transportation system. The deficiencies of the Type-1 fuzzy traffic control system in dealing with uncertainty have led to a reduced ability to address traffic congestion. Therefore, this paper proposes a Type-2 fuzzy controller for a single intersection. Based on real-time traffic flow information, the green timing of each phase is dynamically determined to achieve the minimum a… Show more
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