Abel Rionda Rodríguez, David Martínez Álvarez, Xicu Xabiel García Pañeda, David Arbesú Carbajal, José Emilio Jiménez, F. M. Fernández Linera
One of the sectors that currently generates pollution is road transport. Every day, millions of tons of CO 2 are released into the atmosphere because of this type of human activity. Governments see the reduction of such emissions as a priority-which, according to various studies, could be achieved through more efficient driving. This paper presents a driver tutoring system based on active learning and ubiquity paradigms. Through visual and auditory recommendations, we are able to help drivers achieve more efficient driving. This system is complemented with a Web portal where drivers can check their driving and receive recommendations for further improvement. To evaluate the performance of the tutoring system, driving is monitored and analyzed over a period of six weeks with 150 volunteer drivers achieving results that improved efficient driving metrics and consumption by ~ 10%.
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