The invention relates to the technical field of parking lot operation, and discloses an optimal scheduling method for an intelligent parking lot of an intelligent community, the core of the method is to construct an intelligent parking decision model, the model models the scheduling process of the parking lot into a Markov decision process, and intelligent scheduling is realized by defining a state space, an action space, rewards and strategies. The reward function design comprehensively considers the parking space utilization rate, the vehicle access speed, the user satisfaction degree and the operation cost, and supports dynamic adjustment to meet actual requirements and user feedback. And carrying out model training by adopting a deep Q network algorithm, and evaluating a model effect through an A/B test. In the real-time scheduling stage, the method can collect the state information of the parking lot in real time, selects the optimal action according to the current state and strategy, and achieves efficient and intelligent parking management. The implementation of the invention is helpful for improving the overall intelligent level of the smart community, enhancing the attraction and competitiveness of the community, and providing powerful support for the construction and development of the smart community.
本发明涉及停车场运营技术领域,公开了一种智慧社区智能停车场的优化调度方法,该方法的核心是构建智能停车决策模型,该模型将停车场的调度过程建模为马尔可夫决策过程,通过定义状态空间、动作空间、奖励和策略,实现智能调度。奖励函数设计综合考虑了车位利用率、车辆进出速度、用户满意度和运营成本,同时支持动态调整以满足实际需求和用户反馈。采用深度Q网络算法进行模型训练,并通过A/B测试评估模型效果。在实时调度阶段,该方法能够实时收集停车场状态信息,根据当前状态和策略选择最优动作,实现高效、智能的停车管理。本发明的实施有助于提升智慧社区的整体智能化水平,增强社区的吸引力和竞争力,为智慧社区的建设和发展提供有力支持。
Optimized scheduling method for intelligent parking lot of intelligent community
一种智慧社区智能停车场的优化调度方法
2024-12-31
Patent
Electronic Resource
Chinese
Intelligent parking scheduling method for intelligent traffic
European Patent Office | 2022
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