秭归紫昕智慧停车数据集

内部：通过车牌识别摄像机记录车牌、类型、入场时间，地磁传感器实时监测占用状态与停放时长，道闸、充电桩、照明系统等设备的运行状态通过物联网模块实时上传，包括设备开关状态、故障代码等。经计算校验确保数据精准性​。外部：对接交警数据、停车场/位数据，支付信息、其他服务商等第三方对接数据。遵循安全合规要求（脱敏存储、加密传输、分级权限），提升车位周转率、降低运营成本，支撑智慧交通决策、车主服务及政府监管。

Internal: Data is collected through multiple on-site sources: license plate recognition (LPR) cameras record license plate numbers, vehicle types and entry times; magnetic sensors perform real-time monitoring of parking space occupancy status and parking duration; operating states of devices including barrier gates, charging piles and lighting systems are uploaded in real time via IoT modules, covering device switch statuses and fault codes. Data accuracy is ensured through computational verification and validation. External: Third-party integrated data is included, covering traffic police data, parking lot/space data, payment information and data from other service providers. The dataset complies with security and compliance requirements, including desensitized storage, encrypted transmission and hierarchical access permission controls. It helps improve parking space turnover rates, reduce operational costs, and supports smart transportation decision-making, vehicle owner services and government supervision.