The invention relates to a traffic flow management and control method and system for an urban expressway, and the method comprises the steps: constructing an intelligent agent based on a deep reinforcement learning algorithm, so as to carry out the regulation and control of an on-ramp signal lamp of the urban expressway, and the construction comprises the construction of a state set and an action set of the intelligent agent, the construction of the state set considers the lane occupancy rate of vehicles in each road section of the urban expressway; in the simulation road network environment, the intelligent agent is trained based on a reward function, and the setting of the reward function considers the vehicle waiting time of different time steps in the ramp control area. According to the method and the device, the vehicle lane occupancy rate in the urban expressway is fused in the state set construction of the intelligent agent, and the vehicle waiting time between different time steps is considered in the setting of the reward function, so that the traffic light regulation and control strategy obtained by the intelligent agent can more effectively relieve the blockage of the urban expressway, and the traffic light regulation and control efficiency is improved. The problem of how to reasonably control the on-ramp traffic flow on the urban expressway to merge into the main road is solved.
本申请涉及一种城市快速路的车流管控方法和系统,其中,该方法包括:构建基于深度强化学习算法的智能体,以对城市快速路的上匝道信号灯进行调控,其中,该构建包括智能体的状态集和动作集的构建,状态集的构建考虑城市快速路各路段中车辆的车道占有率;在仿真路网环境下,基于奖励函数对智能体进行训练,其中,奖励函数的设置考虑匝道管控区域内不同时间步骤的车辆等待时间。通过本申请,实现了在智能体的状态集构建中融入了城市快速路中的车辆车道占有率,且奖励函数的设置考虑了不同时间步骤间的车辆等待时间,使得智能体得出的信号灯调控策略,能够更有效地缓解城市快速路的堵塞,解决了如何合理管控城市快速路上匝道车流汇入主路的问题。
Traffic flow control method and system for urban expressway
一种城市快速路的车流管控方法和系统
2024-11-05
Patent
Electronic Resource
Chinese
Modeling and Control of Urban Expressway Traffic Flow
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|Urban expressway intelligent traffic control method and system
European Patent Office | 2020
|Building up Traffic Control System for Urban Expressway
British Library Conference Proceedings | 1995
|Urban Expressway Traffic Flow Modeling and Control Using Neural Networks
British Library Online Contents | 2004
|