台州市停车情况综合分析数据
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通过对台州市道路停车清洗加工统计,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数据: 为研究院对静态交通研究提供城市车辆动静态数据支持。 为主管部门提供路面流动及车辆管理提供数据支持。 为静态交通研究室私有知识库提供数据支持 为管理平台及城市规划停车设施建设提供数据支持。当车辆驶入或驶出停车位时系统实时上传, 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 is compiled based on the statistics of road parking data cleaning and processing in Taizhou City, and analyzes data including the berth turnover rate of each road section and the distribution of daily average parking duration. It provides urban vehicle dynamic and static data support for the institute's static traffic research, offers data support for the competent authorities in road surface flow monitoring and vehicle management, provides data support for the private knowledge base of the Static Traffic Research Office, and provides data support for the management platform and the construction of urban planning parking facilities. When a vehicle enters or exits a parking berth, the system uploads relevant data in real time. The platform parses the uploaded data and identifies the corresponding berth number and road section information by referring to the berth-device relationship table stored in the database. On an hourly basis, the platform retrieves data from the database according to the hierarchy of province, city and road section, and conducts statistics in accordance with the following rules: 1. Calculate [Parking Times] as the total number of vehicle presence reports submitted by the magnetic sensors of all berths in the target road section within the latest hour; 2. Calculate [Occupied Berths] as the number of berths with parked vehicles in the target road section at the current moment; 3. Calculate [Idle Berths] as the number of unoccupied berths in the target road section at the current moment; 4. [Total Berths] = Idle Berths + Occupied Berths; 5. [Berth Occupancy Rate] = Occupied Berths / Total Berths; 6. [Turnover Rate] = Parking Times / Total Berths; 7. [Total Parking Duration] = The sum of parking durations of all berths in the target road section; 8. [Average Parking Duration] = Total Parking Duration / Parking Times; Finally, the statistical data including province, city, road section, date, statistical time, total berths, idle berths, occupied berths, berth occupancy rate, parking times, turnover rate, total parking duration (in minutes), and average parking duration (in minutes) will be stored in the database for subsequent queries.




