典型周道路级交通运行状态数据集

本数据集为第三方采集数据，​数据源验证方面，采用深圳市福田中心交通大脑的数据，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。为支撑福田中心区道路级交通运行状态分析与优化策略研究，深圳市福田中心区典型周道路级交通运行状态数据集以福田中心区路网为范围，于 2019 年 8 月至 11 月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 GPS 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，最终形成包含月份、星期、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，可用于构建典型周交通流模型及验证区域交通组织优化方案。This dataset is third-party collected. For data source validation, it adopts data from the Traffic Brain of Futian Central District, Shenzhen. The specific data records are collected via strictly verified standard procedures using certified GPS collectors. The detector equipment selected operated normally during the corresponding period of the dataset, resulting in few outliers and missing values, which can support normal research work. To support research on road-level traffic operation status analysis and optimization strategies in Futian Central District, the Typical Weekly Road-level Traffic Operation Status Dataset of Futian Central District, Shenzhen covers the road network of Futian Central District, with data synchronously collected from August to November 2019 via road section traffic volume detectors and taxi on-board GPS devices. Specifically, road detectors acquire real-time traffic volume in each time interval, while on-board GPS devices record GPS trajectories, speeds and travel time of taxis during their operation at a frequency of once every 10 seconds. Multiple data processing methods will be applied to further correct the collected data, and finally a structured dataset with multi-dimensional attributes including month, week, road segment ID, spatial geographic data and geometric objects will be established, which can be used to build typical weekly traffic flow models and verify regional traffic organization optimization schemes.

搜集汇总

背景与挑战

背景概述

该数据集基于深圳市福田中心区2019年8月至11月的道路断面检测器和出租车GPS数据，采集了典型周的道路级交通运行状态信息。它包含多维度属性，可用于构建交通流模型和验证区域交通优化方案。