A Cooperative Agent-Based Management Tool Proposal to Quantify GHG Emissions at Local Level. - Edgar Lorenzo-Sáez; José-Vicente Oliver-Villanueva; Jorge E. Luzuriaga; Miguel Ángel Mateo Pla; Javier F. Urchueguía; Lenin-G. Lemus-Zúñiga (KES-AMSTA, 2018)

Proposal of a Bootcamp's User Activity Dashboard Based on MAS. - Lenin Guillermo Lemus Zúñiga; Valeria Alexandra Haro Valle; José-Vicente Benlloch-Dualde; Edgar Lorenzo-Sáez; Miguel A. Mateo Pla; Jorge Maldonado-Mahauad (KES-AMSTA, 2018)

Estimation of Green House Gas and Contaminant Emissions from Traffic by microsimulation and refined Origin-Destination matrices: a methodological approach. - Jorge Eloy Luzuriaga Quichimbo; Juan-Antonio Moreno-Perez; Edgar Lorenzo-Sáez; Santiago Mira Prats; Javier Fermín Urchueguía Schölzel; Lenin Guillermo Lemus Zúñiga; José-Vicente Oliver-Villanueva; Miguel Ángel Mateo Pla (SUMO, 2020)

Establishing a real-time traffic alarm in the city of Valencia with Deep Learning. - Miguel G. Folgado; Verónica Sanz; Johannes Hirn; Edgar Lorenzo-Sáez; Javier F. Urchueguía (CoRR, 2023)

Development of an Algorithm to Evaluate the Quality of Geolocated Addresses in Urban Areas. - Rafael Sierra-Requena; Jose Martinez-Llario; Edgar Lorenzo-Sáez; Eloina Coll Aliaga (ISPRS Int. J. Geo Inf., 2023)

Evaluation of Urban Accessibility Through Geomarketing Techniques: Case Study in Valencia (Spain). - Néstor Villanueva-Durbán; Edgar Lorenzo-Sáez; Victoria Lerma-Arce; Eloina Coll Aliaga (ISPRS Int. J. Geo Inf., 2025)

Deep learning for urban air quality: a traffic-based prediction and alert system for Valencia. - Miguel G. Folgado; Verónica Sanz; Johannes Hirn; Edgar Lorenzo-Sáez; Javier F. Urchueguía (Neural Comput. Appl., 2025)