The invention discloses an urban traffic flow induction method and system based on federated learning. The method comprises the following steps: acquiring current vehicle state information and current road state information; performing fusion processing on the current vehicle state information and the current road state information based on a federal reinforcement learning method to obtain road future congestion condition prediction information; and according to the future congestion condition prediction information of the road, carrying out collaborative planning in combination with the current vehicle state information and the current road state information, and generating an optimal road passing scheme. The system comprises a vehicle-mounted sensor module, a road detection sensor module, a multi-agent federal reinforcement learning terminal module and a vehicle-mounted intelligent computing terminal module. According to the invention, through combination of the Internet of Vehicles communication technology, the multi-agent federal reinforcement learning and the collaborative planning method, the control and induction effects on the driving vehicles are enhanced, so that the traffic travel efficiency and the road surface utilization rate of the city are improved. The method can be widely applied to the field of intelligent transportation.
本发明公开了一种基于联邦学习的城市交通流诱导方法及系统,该方法包括:获取当前车辆状态信息和当前道路状态信息;基于联邦强化学习方法对当前车辆状态信息与当前道路状态信息进行融合处理,得到道路未来拥堵情况预测信息;根据道路未来拥堵情况预测信息,结合当前车辆状态信息和当前道路状态信息进行协同规划,生成最优道路通行方案。该系统包括:车载传感器模块、道路检测传感器模块、多智能体联邦强化学习终端模块和车载智能计算终端模块。本发明结合车联网通信技术、多智能体联邦强化学习和协同规划方法,加强对行驶车辆的控制和诱导作用,从而提高城市的交通出行效率与路面利用率。本发明可广泛应用于智能交通领域。
Urban traffic flow induction method and system based on federal learning
一种基于联邦学习的城市交通流诱导方法及系统
2022-06-14
Patent
Electronic Resource
Chinese
Distributed traffic flow prediction method based on personalized federal map signal learning
European Patent Office | 2024
|Federal learning traffic prediction method based on traffic mode classification
European Patent Office | 2025
|Federal learning traffic flow prediction method based on unmanned aerial vehicle cooperation
European Patent Office | 2024
|Traffic flow prediction method based on block chain and federal learning fusion
European Patent Office | 2023
|