贵州省六盘水市停车情况综合分析数据

提供贵州省六盘水市道路停车数据，方便交通管理部门及停车运营单位查询贵州省六盘水市内的停车情况，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 from Liupanshui City, Guizhou Province, to enable traffic management authorities and parking operation enterprises to query urban parking conditions, analyze metrics such as the berth turnover rate and daily average parking duration distribution across each road segment, and support parking operation management.

When a vehicle enters or exits a parking berth, the magnetic berth detector installed at the berth detects changes in the magnetic field to determine whether the berth is occupied or vacant. The detector transmits the determined data to the cloud platform in real time via NB-IoT. The cloud platform parses the data and retrieves the corresponding berth number and road segment information based on the parking space-device relationship table stored in the database.

The platform retrieves data from the database on an hourly basis at the provincial, city and road segment hierarchy, and conducts data statistics according to the following rules:
1. Count the total number of occupied berth reports submitted by magnetic detectors under the target road segment in the latest hour as [Parking Times];
2. Count the number of occupied berths under the road segment at the current moment as [Occupied Berths];
3. Count the number of vacant berths under the road segment at the current moment as [Vacant Berths];
4. Calculate [Total Berths] as the sum of Vacant Berths and Occupied Berths;
5. Calculate [Berth Occupancy Rate] as Occupied Berths divided by Total Berths;
6. Calculate [Turnover Rate] as Parking Times divided by Total Berths;
7. Calculate [Total Parking Duration] as the sum of parking durations of all berths in the segment;
8. Calculate [Average Parking Duration] (in minutes) as Total Parking Duration divided by Parking Times.

Finally, the platform stores the following data into the database for subsequent queries: province, city, road segment, date, statistical time, Total Berths, Vacant Berths, Occupied Berths, Berth Occupancy Rate, Parking Times, Turnover Rate, Total Parking Duration (in minutes), and Average Parking Duration (in minutes).

搜集汇总

数据集介绍

特点

该数据集详细记录了贵州省六盘水市的停车情况，包含泊位总数、空闲泊位、占用泊位等关键指标，数据每日更新，适用于交通管理和停车运营分析。