The invention relates to the technical field of traffic signal control, in particular to a single-intersection signal control method based on a deep reinforcement learning algorithm, which comprises the following steps of: acquiring vehicle existence characteristics in cells discretized by lanes, and calculating the communication capability used by a reward function according to the characteristics; the accuracy of traffic state features and reward functions is improved, and a noise network is added in a network structure, so that the action exploration capability of the algorithm is improved, and the convergence speed of the algorithm is improved; the network structure is mainly divided into three parts: a main network, a target network and an experience pool.

    本发明涉及交通信号控制的技术领域,特别是涉及一种基于深度强化学习算法的单交叉口信号控制方法,其通过采集由车道离散化的单元格中的车辆存在性特征,奖励函数使用的通信能力也由该特征计算得到,提高了交通状态特征和奖励函数的准确性,并且在网络结构中加入噪声网络,提高算法的动作探索能力,从而提高了算法的收敛速度;网络结构主要分为三个部分:主网络、目标网路和经验池。


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Single-intersection signal control method based on deep reinforcement learning algorithm


    Weitere Titelangaben:

    一种基于深度强化学习算法的单交叉口信号控制方法


    Beteiligte:
    HUANG YIWANG (Autor:in) / WU QIAN (Autor:in)

    Erscheinungsdatum :

    28.04.2023


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Chinesisch


    Klassifikation :

    IPC:    G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS



    Urban intersection signal control method based on deep reinforcement learning

    JU YANNI / MA DIE | Europäisches Patentamt | 2024

    Freier Zugriff

    Single-intersection intersection traffic light control method based on improved deep reinforcement learning

    LIU BINGYAN / GUO HONG / DU JUNLIN et al. | Europäisches Patentamt | 2024

    Freier Zugriff

    Multi-intersection signal cooperative control method based on deep reinforcement learning

    MA CHANGXI / LIU YAN / ZHAO HONGXING et al. | Europäisches Patentamt | 2025

    Freier Zugriff

    Multi-intersection traffic signal control method based on deep reinforcement learning

    DENG HENG / WANG YULONG / GAO YANG et al. | Europäisches Patentamt | 2024

    Freier Zugriff

    Multi-intersection traffic signal control method based on deep reinforcement learning

    LIU LIJUAN / BAI GUANGMING | Europäisches Patentamt | 2023

    Freier Zugriff