"Traffic Flow Dataset for China\u2019s Congested Highways & Expressways"

"The Traffic Flow Dataset for China\u2019s Congested Highways & Expressways (TF4CHE) is derived from AD4CHE (Aerial Dataset for China's Congested Highways & Expressways). AD4CHE collects data using unmanned aerial vehicles (UAVs) operating at an altitude of 100 meters and employs advanced calibration techniques to achieve a positioning accuracy of approximately 5 cm. It provides comprehensive vehicle metrics, including position, speed, classification, as well as unique parameters such as self-offset and yaw rate. AD4CHE covers highway and expressway data across 11 distinct scenarios in five cities in China, comprising a total of 68 data segments. Each data segment includes three files: xx_recordingMeta.csv, xx_tracks.csv, and xx_tracksMeta.csv, which respectively provide video metadata, vehicle trajectories, and trajectory metadata. However, AD4CHE is a pre-development dataset, and its raw parameters are not directly applicable to traffic flow time-series forecasting tasks. TF4CHE is constructed by processing the original frame rate data from AD4CHE into sequential data and applying theoretical formulations from the rail transit domain. It serves as an application-oriented dataset suitable for direct use in research on traffic flow prediction and congestion identification."

搜集汇总

背景与挑战

背景概述

该数据集（TF4CHE）源自AD4CHE无人机采集的原始数据，通过处理转换为序列数据，适用于交通流预测和拥堵识别研究。它覆盖中国五个城市的11个高速公路和快速路场景，包含68个数据段，每个段提供视频元数据、车辆轨迹和轨迹元数据，具有高精度定位和全面的车辆指标。