The NetMob Data Challenge releases a comprehensive public transportation dataset from Niterói, 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.

翻译：NetMob数据挑战赛发布了来自尼泰罗伊的综合公共交通数据集，弥补了高质量出行与乘客需求数据的不足。该数据集基于2026年3月的运营记录，整合了四大主要来源：公交车GPS遥测数据、约720万次票务交易记录、辅助交通数据（线路、站点及天气），以及城市基础设施与社会人口信息。这些来源共同提供了交通供给与乘客需求的细致视图。数据经过预处理、清洗和匿名化处理，以保护隐私并提升可靠性，包括消除运营不一致性及乘客标识符的匿名化。访问权限仅限签署条款协议与保密协议（NDA）的挑战参与者。本文描述了数据采集与预处理流程、数据集组织架构及系统中观测到的出行模式。该数据集可支持公共交通效率、需求预测、可达性分析、服务可靠性及天气等外部因素对城市出行影响等研究方向。