泊客停车古市镇泊位日平均停车时间分析数据

将汽车泊位统一智慧管理，车辆驶入与驶离停车位时，地磁车位检测器精确捕捉车位状态的变化，即时判定车位占用与否。随后通过NB-IoT网络实时传输至云端处理平台。云平台接收到数据解析并查找设备与停车位映射关系，匹配并识别出具体车位编号及其所属路段详情，根据上传数据更新停车位状态和繁忙情况，有助于城市规划单位和交通管理部门了解不同路段、车位的停车时长的分布和繁忙情况，有利于优化停车位的布局，在忙碌路段为车主提供更多实时的停车空位及信息，提高停车效率。车辆驶入与驶离停车位时，地磁车位检测器精确捕捉车位状态的变化，即时判定车位占用与否。随后通过NB-IoT网络实时传输至云端处理平台。云平台接收到数据解析并查找设备与停车位映射关系，匹配并识别出具体车位编号及其所属路段详情，根据上传数据更新停车位状态。泊位车辆驶入则开始计时，驶出则结束计时并计算停车时长，累加计入总停车时长，总停车次数+1，然后计算平均停车时长，计算公式（总停车时长/总停车次数），最后将省份、城市、路段、区域、总停车次数、总停车时长、平均停车时长以年度持久化存储。Unified intelligent management of automobile parking spaces is implemented through the following workflow: When a vehicle drives into or out of a parking space, the geomagnetic parking space detector accurately captures changes in the parking space status, and immediately determines whether the parking space is occupied. The collected data is then transmitted to the cloud processing platform in real time via the NB-IoT network. Upon receiving the data, the cloud platform parses it, queries the mapping relationship between devices and parking spaces, matches and identifies the specific parking space number and the details of its affiliated road section, and updates the parking space status and occupancy conditions based on the uploaded data. This system enables urban planning authorities and traffic management departments to grasp the distribution of parking duration and occupancy status across different road sections and parking spaces, optimize the layout of parking spaces, provide real-time parking vacancy information for vehicle owners in congested road sections, and improve overall parking efficiency. The detailed operational process is as follows: When a vehicle drives into or out of a parking space, the geomagnetic parking space detector accurately captures changes in the parking space status, and immediately determines whether the parking space is occupied. The collected data is transmitted to the cloud processing platform in real time via the NB-IoT network. Upon receiving the data, the cloud platform parses it, queries the mapping relationship between devices and parking spaces, matches and identifies the specific parking space number and the details of its affiliated road section, and updates the parking space status based on the uploaded data. When a vehicle enters the parking space, timing starts; when the vehicle exits, timing stops and the parking duration is calculated. The total parking duration is accumulated, and the total number of parking instances increases by 1. The average parking duration is then calculated using the formula: Total Parking Duration divided by Total Number of Parking Instances. Finally, the data including province, city, road section, district, total number of parking instances, total parking duration and average parking duration is persistently stored on an annual basis.

搜集汇总

数据集介绍

特点

该数据集记录了古市镇泊位的日平均停车时间，包含1827条每日更新的数据，涵盖多个停车相关字段，用于智慧停车管理和优化停车位布局。