宁波市镇海区实时停车诱导数据

（1）数据适用范围：浙江省宁波市镇海区
（2）数据内容：对浙江省宁波市镇海区的停车设施管理情况进行采集分析、包括停停车场名称、名称 地址、x坐标 、y坐标、类型基础标签、精确车位数、日期、时间、实时剩余停车位、停车容量利用率分析、泊位空闲度、时段分类，出入口名称、出入口地址、出入口x坐标 、出入口y坐标、⽗点（停车场）、出入口基础标签 、营业时间等，分析停车厂剩余车位数量以及评估停车厂的使用效率合理优化资源。
（3）数据应用场景：为互联网地图的用户提供目的地附近的停车场位置、导航路线、以及空余停车位，供车主选择合适的停车场前往停车，方便社会公众使用停车场，疏导路面交通。同时，通过分析停车容量利用率、泊位空闲度和时段分类，可以预测和应对高流量时段的停车需求，提供更好的停车指引服务，城市交通管理部门可以优化停车资源配置，减少因寻找停车位而产生的交通拥堵。（1）数据清洗：对数据集进行清洗，包括去除异常数据、处理缺失值。
（2）数据获取及处理：当车辆驶入停车场时，摄像头实时抓取及道闸设备识别宁波市镇海区停车场车辆出入信息，将车辆入场数据传输到停车系统，实时剩余停车位-1，当车辆驶离停车场时，道闸设备、摄像头拍摄识别后将车辆出场数据传输到停车场系统，实时剩余停车位+1，停车场系统实时更新剩余停车位数量。停车容量利用率分析=（精确车位数-实时剩余停车位）/精确车位数*100%；泊位空闲度=实时剩余停车位/精确车位数*100%；时段分类基于停车容量利用率分析的算法规则。该规则通过计算每个时间点的利用率来定义高峰时段（利用率≥70%）、低谷时段（利用率≤30%）和平峰时段（30%<利用率<70%）。

(1) Data Application Scope: Zhenhai District, Ningbo City, Zhejiang Province.
(2) Data Content: Collect and analyze the parking facility management status in Zhenhai District, Ningbo City, Zhejiang Province, including parking lot name, address, x-coordinate, y-coordinate, basic type tags, exact number of parking spaces, date, time, real-time remaining parking spaces, parking capacity utilization rate analysis, parking space vacancy rate, time slot classification, entrance/exit name, entrance/exit address, entrance/exit x-coordinate, entrance/exit y-coordinate, parent point (parking lot), basic entrance/exit tags, business hours, etc. This work analyzes the remaining parking spaces of parking lots and evaluates their usage efficiency to reasonably optimize resources.
(3) Data Application Scenarios: Provide internet map users with the locations, navigation routes and available parking spaces of parking lots near their destinations, enabling car owners to select suitable parking lots for parking, facilitating public access to parking facilities and alleviating road traffic congestion. Meanwhile, by analyzing parking capacity utilization rate, parking space vacancy rate and time slot classification, parking demand during peak hours can be predicted and addressed, providing better parking guidance services. Urban traffic management departments can optimize the allocation of parking resources and reduce traffic congestion caused by drivers searching for parking spaces.
(1) Data Cleaning: Clean the dataset, including removing abnormal data and handling missing values.
(2) Data Acquisition and Processing: When a vehicle enters a parking lot, cameras and barrier gate equipment will capture and recognize the vehicle entry information in real time, and transmit the entry data to the parking system, with the real-time remaining parking spaces decreased by 1. When a vehicle leaves the parking lot, after being recognized by barrier gate equipment and cameras, the exit data will be transmitted to the parking system, with the real-time remaining parking spaces increased by 1. The parking system updates the number of real-time remaining parking spaces in real time.
Parking capacity utilization rate analysis = (Exact number of parking spaces - Real-time remaining parking spaces) / Exact number of parking spaces * 100%;
Parking space vacancy rate = Real-time remaining parking spaces / Exact number of parking spaces * 100%;
Time slot classification is based on the algorithm rules of parking capacity utilization rate analysis. This rule defines peak hours (utilization rate ≥ 70%), off-peak hours (utilization rate ≤ 30%) and mid-peak hours (30% < utilization rate < 70%) by calculating the utilization rate at each time point.

搜集汇总

数据集介绍

特点

宁波市镇海区实时停车诱导数据提供了详细的停车场信息，包括位置、实时剩余车位、利用率分析等，每日更新，适用于宁波市镇海区，旨在优化停车资源配置和减少交通拥堵。