Physics

The NetMob26 Dataset: A High-Resolution Multi-Source View of Public Bus Mobility in Niter’oi

AI Insight

The NetMob26 dataset is a multi-source public transportation dataset from Niteroi, Brazil, compiled from operational records collected in March 2026. It integrates GPS telemetry from buses, approximately 7.2 million ticketing transactions, transit infrastructure data including routes and stops, weather records, and socio-demographic information. The dataset was preprocessed, anonymized, and structured to support analysis of transit supply and passenger demand patterns.


This dataset provides researchers with a rare, high-resolution foundation for studying urban mobility challenges such as demand forecasting, service reliability, and transportation accessibility. Its multi-source design enables investigation of how external factors like weather influence public transit use, which can inform evidence-based transit planning decisions.


arXiv:2605.20263v1 Announce Type: new
Abstract: The NetMob Data Challenge releases a comprehensive public transportation dataset from Niter’oi, addressing the lack of high-quality mobility and passenger demand data. Based on operational records from March 2026, the dataset combines four main sources: GPS telemetry from buses, approximately 7.2 million ticketing transactions, auxiliary transit data (routes, stops, and weather), and urban infrastructure and socio-demographic information. Together, these sources provide a detailed view of both transit supply and passenger demand.
The data were preprocessed, cleaned, and anonymized to preserve privacy and improve reliability, including the removal of operational inconsistencies and anonymization of passenger identifiers. Access is restricted to challenge participants who accept the Terms and Conditions and sign an NDA.
The paper describes the data collection and preprocessing pipeline, dataset organization, and mobility patterns observed in the system. The dataset supports research on topics such as public transportation efficiency, demand forecasting, accessibility analysis, service reliability, and the influence of external factors like weather on urban mobility.

Source: The NetMob26 Dataset: A High-Resolution Multi-Source View of Public Bus Mobility in Niter'oi