2026-06-05T17:58:18Zhttps://riuma.uma.es/rest/oai/request

oai:riuma.uma.es:10630/458842026-03-03T00:47:34Zcom_10630_2254col_10630_37953

An extensible framework for urban mobility digital shadows Rodríguez-Gómez, Francisco Palma-Borda, Juan Guzmán-de-los-Riscos, Eduardo Francisco Belmonte-Martínez, María Victoria Movilidad residencial Tráfico-Control electrónico Previsión-Modelos Urban mobility systems require continuous monitoring and optimization to address increasing complexity and sustainability demands. This paper introduces UM-DS (Urban Mobility–Digital Shadow), a modular framework that integrates heterogeneous real-time and historical data, such as traffic intensity, incidents, weather, and public transport, into a unified model of urban mobility. UM-DS enables visualization, simulation, and analysis through an extensible dashboard connected to the SUMO simulation engine. Validated in the city of Malaga, the framework supports real-time exploration and temporal playback of traffic conditions, facilitating the development of AI-based forecasting models and multi-agent simulations. Its flexible, city-agnostic architecture allows adaptation to diverse urban contexts, bridging the gap between raw data and intelligent decision making. UM-DS provides a replicable foundation for next-generation smart-city mobility systems, fostering informed, data-driven strategies for sustainable urban transport. 2026-02 journal article F. Rodriguez-Gomez, J. Palma-Borda, E. Guzman and M. -V. Belmonte, "An extensible framework for urban mobility digital shadows," in IEEE Software, doi: 10.1109/MS.2026.3659484. keywords: {Roads;Real-time systems;Urban areas;Vehicle dynamics;Weather;Engines;Traffic control;Data acquisition;Data visualization;Predictive models}, https://hdl.handle.net/10630/45884 10.1109/MS.2026.3659484 eng http://creativecommons.org/licenses/by-nc-nd/4.0/ open access Attribution-NonCommercial-NoDerivatives 4.0 International IEEE