Tutoring System for the Efficient Driving of Combustion Vehicles

One of the sectors that currently generates pollution is road transport. Every day, millions of tons of CO₂ 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%.