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Edition:Final Report
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Abstract:Traffic signal control is a crucial element of urban mobility that profoundly influences transportation network efficiency and safety. Traditional traffic signal control systems rely on fixed-time or actuated signal timings, often failing to adapt to dynamic traffic demands and congestion patterns. This technical report explores the application of Reinforcement Learning (RL) algorithms to traffic signal control, aiming to enhance traffic flow efficiency and alleviate congestion.
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