The invention discloses a mountain city trunk line multi-lane convergence management and control method in an intelligent network connection environment. The method comprises the following steps: S1, establishing a multi-lane convergence collaborative management and control system architecture in the intelligent network connection environment; s2, building a multi-lane convergence simulation road network in the intelligent network connection environment; s3, constructing a worker driving vehicle and intelligent network connection vehicle model; s4, designing an intelligent agent; the intelligent control system comprises a signal control intelligent agent (Agent1) and a variable speed limit control intelligent agent (Agent2). S5, constructing the intelligent agent neural network in the step S3; s6, experience pool tetrad data storage; and S7, carrying out MADDPG algorithm training. The mountain city trunk line multi-lane convergence management and control method under the intelligent network connection environment has the advantages that a multi-lane convergence area under the future intelligent network connection mixed traffic flow environment can be accurately controlled, and then the vehicle passing efficiency and safety are improved.
本发明公开了一种智能网联环境下山地城市干线多车道汇入管控方法,包括以下步骤:S1:建立智能网联环境下多车道汇入协同管控系统架构;S2:搭建智能网联环境下多车道汇入仿真路网;S3:构建工驾驶车辆及智能网联车辆模型;S4:设计智能体;分别包括信号控制智能体(Agent1)和可变限速控制智能体(Agent2);S5:构建步骤S3中的智能体神经网络;S6:经验池四元组数据存储;S7:进行MADDPG算法训练。本智能网联环境下山地城市干线多车道汇入管控方法具有能够具有能够在未来智能网联混合交通流环境下的多车道汇入区域实行精准控制,进而提升车辆通行效率及安全性的优点。
Mountain city trunk line multi-lane convergence management and control method under intelligent network connection environment
一种智能网联环境下山地城市干线多车道汇入管控方法
15.10.2024
Patent
Elektronische Ressource
Chinesisch
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