dmariaa70/GO-MO

GO-MO是一个大规模图增强交通数据集，用于数据驱动的时空交通分析。该数据集提取自西班牙马德里市议会的开放数据门户，包含超过15亿条记录，涵盖2015-2024十年间的交通数据。数据集包含三种交通指标（交通强度、平均速度、传感器占用率）和时空数据及元数据，并提供了两种图表示（基于路线和基于道路网络）。数据集统计信息详细，包括时间戳数量、记录总数、测量点数量等。

GO-MO is a large-scale graph-augmented traffic dataset for data-driven spatio-temporal traffic analysis. The dataset is extracted from the publicly available Open Data Portal of the City Council of Madrid (Spain), comprising more than 1.5 billion records of three traffic-related metrics together with spatio-temporal data and metadata, spanning a ten-year period (2015-2024). Additionally, the GO-MO dataset introduces two graph representations extracted from traffic data and metadata: one for routes between nodes and another for the road network. The dataset provides detailed statistics including the number of timestamps, total records, and measurement points.