嘉善县子胥路停车场共享车位分析数据
收藏资源简介：
通过数据采集，获取当前停车场使用共享车位车辆的出入信息，分析共享车位的利用率情况，确定共享车位的使用高峰期，方便后续对当前停车场共享车位不同时间段的扩张和缩减提供参考，为市民提供更好的城市停车服务。1.数据采集：车辆驶入或驶出停车位时，安装在此停车位上的红外检测仪器会判断有车还是无车，将判断后的数据上传到平台相应的接口，平台解析数据并根据数据库中存储的设备信息，找到当前车位所在的停车场和车位编号，更新停车场和车位的状态。 2.数据处理：将每天的时间段切片，统计某个时间段里面的进出车辆数据，获取停车场的净车辆变化量，根据每个时间段的净车辆变化量计算四分位数和四分位距，确定高峰期和低峰期阈值，根据与净车辆变化量判断是否为高峰期或低峰期。净车辆变化量大于等于高峰期阈值的，判断为高峰期；净车辆变化量小于等于低峰期阈值的，判断为低峰期；净车辆变化量小于高峰期阈值且大于低峰期阈值的，判断为非高峰/低峰期。净车辆变化量 = 进入车辆数量 - 离开车辆数量；第一四分位数(Q1)，第三四分位数(Q3)，四分位距（IQR）=Q3 - Q1；高峰期阈值=Q3 + 1.5 * IQR；低峰期阈值=Q1 - 1.5 * IQR。
This dataset collects the access information of vehicles utilizing shared parking spaces in the target parking lot, analyzes the utilization rate of shared parking spaces, and identifies the peak usage hours of shared parking spaces. The outcomes can provide references for subsequent expansion or reduction of shared parking spaces in different time periods of the target parking lot, thereby delivering better urban parking services for citizens. 1. Data Collection: When a vehicle enters or exits a parking space, the infrared detection device installed on the parking space will detect the presence or absence of a vehicle, and upload the detection results to the corresponding interface of the platform. The platform parses the uploaded data, locates the parking lot and the specific parking space number where the current parking space is located based on the device information stored in the database, and updates the status of the parking lot and the parking space. 2. Data Processing: First, slice the daily time into multiple discrete time intervals. Count the incoming and outgoing vehicle data within each interval to calculate the net vehicle change of the parking lot, where the formula for net vehicle change is: Net Vehicle Change = Number of Incoming Vehicles - Number of Outgoing Vehicles. Then, calculate the first quartile (Q1), third quartile (Q3), and interquartile range (IQR = Q3 - Q1) based on the net vehicle change values of all time intervals. Derive the peak hour threshold and off-peak hour threshold using the following formulas: - Peak Hour Threshold = Q3 + 1.5 * IQR - Off-Peak Hour Threshold = Q1 - 1.5 * IQR Finally, classify each time interval based on its net vehicle change value: - Classify the interval as peak hour if the net vehicle change is greater than or equal to the peak hour threshold; - Classify the interval as off-peak hour if the net vehicle change is less than or equal to the off-peak hour threshold; - Classify the interval as non-peak/off-peak period if the net vehicle change is between the off-peak hour threshold and the peak hour threshold.
