One of the sectors that currently generate pollution is road transport. Millions of tons of CO2 are dumped every day into the atmosphere due to this type of human activity. Governments have seen the reduction of such emissions as a priority - which according to various studies could be achieved through more efficient driving. This article presents a driver tutoring system based on active learning and ubiquity paradigms. Through visual and auditory recommendations we are able to get the driver to make their driving more efficient. The system is complemented with a Web portal where the driver can check their driving and receive recommendations for further improvement. To evaluate the performanceof the tutoring system, driving has been monitored and analyzed for 6 weeks with 150 volunteer drivers achieving results that improve the efficient driving metrics and consumption by approximately 10%.
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