智慧城市智能停车诱导系统设计

Research and design of intelligent parking guidance system in smart city

建立基于MQTT协议的智能停车诱导系统架构模型.首先,采集停车场、车位、车辆等静态数据,预处理后上传至云服务处理中心进行整合分析、去噪处理;然后,借助惯性导航技术推算车辆运行轨迹,预测空闲车位,结合运行轨迹、空闲车位预测结果等动态数据进行AI算法分析;最后,向车主呈现诱导路径,提高停车效率,使城市更加智慧化、人性化,为实现智能停车诱导系统提供关键技术支撑.

An intelligent parking guidance system architecture model based on MQTT protocol is established.The static data of parking lot,parking space and vehicle are collected,preprocessed and uploaded to the cloud service processing center for integration analysis and denoising.With the help of inertial navigation technology,the vehicle trajectory is calculated and the empty parking space is predicted.The AI algorithm is analyzed based on the dynamic data such as running track and idle parking space prediction results.The guidance path is presented to car owners to improve parking efficiency,make the future city more intelligent and humanized,and provide key technical support for the realization of intelligent parking guidance system.