2026-10-13T09:02:59Z https://www.scidb.cn/oai

10.57760/sciencedb.08683 2024-05-22T18:52:17Z

2024-05-22 Supporting data for the manuscript "Dynamic Graph-Attention Traffic Network for Enhanced Urban Traffic Flow Prediction". doi:10.57760/sciencedb.08683 en Taking center stage in current traffic flow forecasting research are the PEMS04 and PEMS08 datasets (https://planet.osm.org), which are derived from the California Transportation Management System's (Caltrans) extensive collection efforts of freeway induction coil detectors. These datasets not only provide traffic speed data updated every 5 minutes, but also meticulously record multi-dimensional information such as traffic flow and vehicle occupancy, reflecting real-time traffic conditions on some of California's key freeways. This rich collection of data, which covers a diverse range of traffic flow patterns across seasons, weekdays, and holidays, provides researchers with valuable experimental materials to explore the complex dynamics of traffic flow. traffic flow; PEMS04; PEMS08 LE-LE LI PUBLIC https://creativecommons.org/publicdomain/zero/1.0/ dataset Science Data Bank