The invention discloses an Internet of Things parking space recommendation method and system, and relates to the technical field of intelligent traffic, which is used for recommending parking spaces in combination with user demands and actual parking space conditions and improving the parking space recommendation effect. According to the main technical scheme of the invention, the method comprises the steps: obtaining real-time parking space information fed back by Internet of Things equipment disposed in a plurality of parking lots, wherein the real-time parking space information comprises a parking space occupancy state and predicted idle time; determining a candidate parking lot according to the parking space occupation state and the predicted idle time; determining a target parking lot in the candidate parking lots based on the parking demand of the user; and taking any available parking space in the target parking lot as a recommended parking space, and mapping the recommended parking space in a navigation map. The main purpose is to recommend parking spaces in combination with user requirements and actual parking space conditions, and the parking space recommendation effect is improved. The method is used for parking stall recommendation based on the Internet of Things.
本申请公开了一种物联网车位推荐方法及系统,涉及智慧交通技术领域结合用户需求和实际车位情况对车位进行推荐,提升车位推荐的效果。本申请主要的技术方案为:获取部署在多个停车场的物联网设备所反馈的实时车位信息,实时车位信息包括车位占用状态和预计空闲时间;根据车位占用状态和预计空闲时间确定候选停车场;基于用户的停车需求在候选停车场中确定目标停车场;将目标停车场中任一可用车位作为推荐车位,并将推荐车位映射在导航地图中。主要目的在于结合用户需求和实际车位情况对车位进行推荐,提升车位推荐的效果。本申请用于基于物联网进行车位推荐。
Internet of Things parking stall recommendation method and system
一种物联网车位推荐方法及系统
2024-10-01
Patent
Electronic Resource
Chinese
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