天津市天津城区停车情况综合分析数据

提供天津市天津城区道路停车数据，方便交通管理部门及停车运营单位查询天津市天津城区内的停车情况，分析道路停车的各路段泊位周转率、日平均停车时长分布等，进行停车运营的管理。当车辆驶入或驶出停车位时，安装在此停车位上的地磁车位检测器检测到磁场变化，判断有车还是无车，将判断后的数据通过NB-IoT实时传输到云平台， 平台解析数据并根据数据库中存储的车位设备关系表，找到对应所属的车位编号以及路段信息。平台每小时按照省份、城市、路段的层次从数据库检索，并按照如下规则做数据统计：统计最近一小时内，该路段下所有泊位地磁上报的有车总数据条数作为【停车次数】；统计当前时刻该路段下有车的泊位数量，作为【占用泊位】数量；统计当前时刻该路段下无车的泊位数量，作为【空闲泊位】数量；空闲泊位+占用泊位作为【泊位总数】；占用泊位/泊位总数作为【泊位占用率】；停车次数/泊位总数作为【周转率】；每个泊位停车时长总和作为【总停车时长】；总停车时长/停车次数 作为【平均停车时长】； 最后将省份、城市、路段、日期、统计时间、泊位总数、空闲泊位、占用泊位、泊位占用率、停车次数、周转率、总停车时长(分钟)、平均停车时长（分钟）存储到数据库中供后续查询。

This dataset provides road parking data for the Tianjin urban area of Tianjin Municipality, to support traffic management departments and parking operation entities in querying parking conditions within the Tianjin urban area, analyzing metrics such as berth turnover rate and daily average parking duration distribution across road sections, and managing parking operations.
When a vehicle enters or exits a parking berth, the geomagnetic berth detector installed on the berth detects magnetic field changes to determine whether the berth is occupied or vacant, and transmits the determined data to the cloud platform in real time via NB-IoT. The platform parses the received data, and matches the data to the corresponding berth number and road section information based on the berth-device relationship table stored in the database.
The platform conducts database retrievals on an hourly basis following the province-city-road section hierarchy, and performs data statistics according to the following rules:
1. Count the total number of vehicle-present reports from all berth detectors under the target road section in the last hour as [Parking Times];
2. Count the number of currently occupied berths under the target road section as [Occupied Berths];
3. Count the number of currently vacant berths under the target road section as [Idle Berths];
4. Calculate [Total Berths] as the sum of Idle Berths and Occupied Berths;
5. Calculate [Berth Occupancy Rate] as the ratio of Occupied Berths to Total Berths;
6. Calculate [Turnover Rate] as the ratio of Parking Times to Total Berths;
7. Calculate [Total Parking Duration] as the sum of individual parking durations for all berths;
8. Calculate [Average Parking Duration] as the ratio of Total Parking Duration to Parking Times.
Finally, the statistics including province, city, road section, date, statistics timestamp, Total Berths, Idle Berths, Occupied Berths, Berth Occupancy Rate, Parking Times, Turnover Rate, Total Parking Duration (in minutes), and Average Parking Duration (in minutes) are stored in the database for subsequent query and analysis.