2017 IEEE Symposium on Computers and Communications (ISCC) (2017)
July 3, 2017 to July 6, 2017
Paulo H. L. Rettore , Computer Science Department, Federal University of Minas Gerais, Belo Horizonte, Brazil
Andre B. Campolina , Computer Science Department, Federal University of Minas Gerais, Belo Horizonte, Brazil
Leandro A. Villas , Institute of Computing, University of Campinas, SP - Brazil
Antonio A. F. Loureiro , Computer Science Department, Federal University of Minas Gerais, Belo Horizonte, Brazil
The development of actions to reduce fuel consumption and emissions and increase transportation systems' efficiency have become a huge challenge. Thus, a low-cost solution to improve fuel efficiency and reduce environmental damages is eco-driving, a group of behaviors focused on improving these aspects. Fuel consumption varies according to different factors: two different vehicles are expected to consume more or less fuel according to their engines' sizes or depending on the person who is driving them. In this work we present a gear virtual sensor for manual transmission cars, which adds information to understand drivers' habits, allowing to analyze individually each gear in relation to consumption. Our methodology developed gives the driver recommendations of the best gear considering speed and torque, reaching up to 29% averaged of efficiency in the fuel consumption and 21% averaged in CO
2 emissions reduction.
Gears, Fuels, Engines, Automobiles, Mobile handsets, Global Positioning System
P. H. Rettore, A. B. Campolina, L. A. Villas and A. A. Loureiro, "A method of eco-driving based on intra-vehicular sensor data," 2017 IEEE Symposium on Computers and Communications (ISCC), Heraklion, Greece, 2017, pp. 1122-1127.