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  1. No Access

    Chapter and Conference Paper

    Traffic Signal Control Optimization Based on Deep Reinforcement Learning with Attention Mechanisms

    Deep reinforcement learning (DRL) methodology with traffic control systems plays a vital role in adaptive traffic signal controls. However, previous studies have frequently disregarded the significance of vehi...

    Wenlong Ni, Peng Wang, Zehong Li, Chuanzhuang Li in Neural Information Processing (2024)

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    Chapter and Conference Paper

    Traffic Signal Optimization at T-Shaped Intersections Based on Deep Q Networks

    In this paper traffic signal control strategies for T-shaped intersections in urban road networks using deep Q network (DQN) algorithms are proposed. Different DQN networks and dynamic time aggregation were us...

    Wenlong Ni, Chuanzhuang Li, Peng Wang, Zehong Li in Neural Information Processing (2024)