Browsing by Author "Vázquez Giménez, Juan José"
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A comparison of deep learning methods for urban traffic forecasting using floating car data
Vázquez Giménez, Juan José; Arjona Martínez, Jamie; Linares Herreros, María Paz; Casanovas Garcia, Josep (Elsevier, 2020)
Article
Open AccessCities today must address the challenge of sustainable mobility, and traffic state forecasting plays a key role in mitigating traffic congestion in urban areas. For example, predicting path travel time is a crucial issue ... -
Barcelona virtual mobility Lab
Montero Mercadé, Lídia; Linares Herreros, María Paz; Salmeron Moya, Juan; Recio Domènech, Gonzalo; Lorente García, Ester; Vázquez Giménez, Juan José (2018)
Conference lecture
Restricted access - publisher's policyLos nuevos conceptos de movilidad sostenible están a la orden del día. Sin embargo, no hay una manera fácil de hacer realidad estas ideas, o de probar lo buenas que son como soluciones de movilidad (Montero et al., 2017, ... -
Disseny de fàrmacs antiinflamatoris
Vázquez Giménez, Juan José (Universitat Politècnica de Catalunya, 2016-06-21)
Bachelor thesis
Open AccessEn aquest projecte s'ha desenvolupat un sistema capaç de fer recomanacions de millora per a dissenys de fàrmacs antiinflamatoris inhibidors de la COX-2. Les recomanacions es processen aprofitant la informació extreta d'un ... -
Improving parking availability information using deep learning techniques
Arjona Martínez, Jamie; Linares Herreros, María Paz; Casanovas Garcia, Josep; Vázquez Giménez, Juan José (Elsevier, 2020)
Article
Open AccessUrban traffic currently affects the quality of life in cities and metropolitan areas as the problem becomes ever more aggravated by parking issues: congestion increases due to individuals looking for slotsto park their ... -
Traffic forecasting in smart cities
Vázquez Giménez, Juan José (Universitat Politècnica de Catalunya, 2019-01-15)
Master thesis
Open AccessTraffic forecasting plays a key role in mitigating traffic congestion in urban areas. The main objective of this master thesis is to perform traffic forecasting in urban contexts by developing machine learning models trained ...