街道级交通运行状态数据集
收藏资源简介：
本数据集为第三方采集数据，数据源验证方面，采用深圳市交通部门数据，具体的数据记录由经过严格验证的标准采集，采用认证的GPS采集器，所选用检测器设备在数据集对应时间段运行正常，得到数据集结果异常值、空缺值较少，能够支撑正常研究。为支撑城市街道级交通运行状态分析与优化策略研究，深圳市各区域街道级交通运行状态数据集以全市路网为范围，于 2021 年 9 月 8 日至 30 日通过道路断面交通量检测器和出租车车载 GPS 设备同步采集数据。其中道路检测器实时获取各时段通行流量，车载 GPS 以每 10 秒一次频率记录出租车营运期间的时空轨迹、速度及出行时间，计划使用多种数据处理手段对采集的数据进行进一步的修正，最终形成包含日期时间片、街道 ID、路段编号、空间地理数据及几何对象等多维度属性的结构化数据集，可用于构建精细化街道交通流模型及评估区域交通组织优化方案。
This is a third-party-collected dataset. For data source validation, data sourced from the Shenzhen Municipal Transportation Bureau was utilized. The specific data records were collected following rigorously validated standard protocols using certified GPS collectors. The selected detector equipment operated normally throughout the dataset's acquisition period, resulting in minimal outliers and missing values in the final dataset, which is suitable for valid academic research. To support research on urban street-level traffic operation status analysis and optimization strategy development, the street-level traffic operation status dataset covering all districts of Shenzhen spans the entire city's road network. It was synchronously collected between September 8 and 30, 2021, using road section traffic volume detectors and taxi-mounted GPS devices. Specifically, road detectors capture real-time traffic volume for each time interval, while the taxi-mounted GPS devices record the spatio-temporal trajectory, speed, and travel time of taxis during their service periods at a frequency of once every 10 seconds. Multiple data processing techniques will be applied to further refine the collected data, ultimately forming a structured dataset with multi-dimensional attributes including date-time slices, street IDs, road segment numbers, spatial geographic data, and geometric objects. This dataset can be employed to build refined street traffic flow models and evaluate regional traffic organization optimization schemes.
