RT Journal Article
T1 An extensible framework for urban mobility digital shadows
A1 Rodríguez-Gómez, Francisco
A1 Palma-Borda, Juan
A1 Guzmán-de-los-Riscos, Eduardo Francisco
A1 Belmonte-Martínez, María Victoria
K1 Movilidad residencial
K1 Tráfico-Control electrónico
K1 Previsión-Modelos
AB Urban mobility systems require continuousmonitoring and optimization to address increasing complexity and sustainabilitydemands. 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 unifiedmodel of urban mobility. UM-DS enables visualization, simulation, and analysisthrough an extensible dashboard connected to the SUMO simulation engine.Validated in the city of Malaga, the framework supports real-time exploration andtemporal playback of traffic conditions, facilitating the development of AI-basedforecasting models and multi-agent simulations. Its flexible, city-agnosticarchitecture allows adaptation to diverse urban contexts, bridging the gapbetween raw data and intelligent decision making. UM-DS provides a replicablefoundation for next-generation smart-city mobility systems, fostering informed,data-driven strategies for sustainable urban transport.
PB IEEE
YR 2026
FD 2026-02
LK https://hdl.handle.net/10630/45884
UL https://hdl.handle.net/10630/45884
LA eng
NO 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},
NO Funding for open access charge: Universidad de Málaga / CBUA
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 18 mar 2026