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SIGNAL CONTROL APPARATUS AND SIGNAL CONTROL METHOD BASED ON REINFORCEMENT LEARNING

机译:基于钢筋学习的信号控制装置和信号控制方法

摘要

A signal control apparatus and a signal control method based on reinforcement learning are presented. The signal control apparatus may comprise: a capturing unit for acquiring an intersection image by capturing an image of an intersection; a control unit for calculating information about a congestion level at the intersection by analyzing the intersection image acquired by the capturing unit and calculating control information regarding a next signal by using the information about the congestion level and a reinforcement learning model trained by using, as input values, state information and reward information calculated on the basis of the congestion level at the intersection; and a driving unit for driving a traffic light according to the control information regarding the next signal, calculated by the control unit.
机译:提出了一种基于增强学学习的信号控制装置和信号控制方法。信号控制装置可以包括:通过捕获交叉点的图像来获取交叉图像的捕获单元;通过分析由捕获单元获取的交叉点和通过使用关于通过使用的有关拥塞水平的信息和通过使用的增强学习模型来计算关于下一个信号的交叉点和计算的控制信息来计算关于交叉点在交叉处的拥塞水平的信息的控制单元。价值,状态信息和奖励信息根据交叉口的拥塞水平计算;和根据关于下一个信号的控制信息驱动交通光的驱动单元,由控制单元计算。

著录项

  • 公开/公告号WO2021085848A1

    专利类型

  • 公开/公告日2021-05-06

    原文格式PDF

  • 申请/专利权人 LAONPEOPLE INC.;

    申请/专利号WO2020KR12363

  • 发明设计人 CHOI TAE WOOK;

    申请日2020-09-14

  • 分类号G08G1/01;G08G1/07;G08G1/04;G06N3/08;G06T1;

  • 国家 KR

  • 入库时间 2022-08-24 18:36:41

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