Enriched Traffic Datasets for Madrid

DESCRIPTION OF THE RESEARCH AND DATA
This work presents the Madrid Traffic Dataset (MTD), a comprehensive resource for the analysis and modeling of traffic patterns in Madrid. The dataset integrates traffic sensor measurements, weather observations, labor calendar information, road infrastructure attributes, and geolocation data to support urban mobility studies and predictive modeling.

In addition to the core tabular data, this release includes temporal sequences and traffic adjacency matrices, enabling time-series analysis and graph-based machine learning approaches.

COMPLETE DATASET
The complete version of the MTD includes data from 554 traffic sensors distributed across the Madrid region, covering 30 months, from June 2022 to November 2024.

SUBSET DATASET
A compact version derived from the complete dataset is also provided. It focuses on 300 traffic sensors and covers 17 months, from June 2022 to October 2023. This subset is intended for researchers who need a lighter dataset for experimentation.

DATA ORGANIZATION
The dataset is organized into folders identified by configuration data hashes. Each folder contains processed datasets, temporal sequences, adjacency matrices, sensor coordinate files, and configuration files. This structure supports traceability, reproducibility, and comparison between the complete and subset versions.

For more details, see the associated article: Gómez, I. and Ilarri, S., Advanced Prediction of Traffic at Different Temporal Scales Using Heterogeneous Data Sources, IEEE Open Journal of Intelligent Transportation Systems, 2025. DOI: 10.1109/OJITS.2025.3637305.