Abstract
This paper implements and validates a system to save fuel based on the collaboration of drivers. The system gets the optimal speed pattern evaluating the driving of nearby drivers. A fuzzy logic system is used to assess drivers and the information about nearby vehicles is obtained through WIFI-Direct. Best driver sends the optimal speed pattern to the other vehicles and the mobile device notifies the user through a vibration pattern or speaker if the user should slow down or speed up.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
“Traffic: civilization or barbarism”. The risk Observatory. Institute for security studies (IDES) (2006), http://www.seguretat.org
Barbé, J., Boy, G.: On-board system design to optimize energy management. In: Proceedings of the European Annual Conference on Human Decision-Making and Manual Control (EAM 2006), Valenciennes, France, September 27-29 (2006)
Van Mierlo, J., Maggeto, G., Van Burgwal, E., Gense, R.: Driving style and traffic measures-influence on vehicle emissions and fuel consumption. Journal of Automobile Engineering (2004)
Koskinen, O.H.: Improving vehicle fuel economy and reducing emissions by driving technique. In: Proceedings of the 15th ITS World Congress, New York, November 15-20 (2008)
Johansson, H., Gustafsson, P., Hneke, M., Rosengren, M.: Impact of EcoDriving on emissions. In: International Scientific Symposium on Transport and Air Pollution, Avignon (2003)
Wahlberg, A.: Long-term effects of training in economical driving: fuel consumption, accidents, driver acceleration behaviour and technical feedback. International Journal of Industrial Ergonomics, 333–343 (2007)
Walker, G.H., Stanton, N.A., Young, M.S.: Hierarchical Task Analysis of Driving: A New Research Tool. In: de Proceedings of the Annual Conference of the Ergonomics Society, London (2001)
Tulusan, J., Soi, L., Paefgen, J., Brogle, M., Staake, T.: Eco-efficient feedback technologies: Which eco-feedback types prefer drivers most? In: 2011 IEEE International Symposium on World of Wireless, Mobile and Multimedia Networks (WoWMoM), June 20-24, pp. 1–8 (2011)
Young, K., Regan, M.: Driver distraction: A review of the literature. In: Faulks, I.J., Regan, M., Stevenson, M., Brown, J., Porter, A., Irwin, J.D. (eds.) Distracted Driving, pp. 379–405. Australasian College of Road Safety, Sydney (2007)
OBD2 Adapter, http://www.scantool.net/ (last access: November 26, 2012)
Benslimane, A., Taleb, T., Sivaraj, R.: Dynamic Clustering-Based Adaptive Mobile Gateway Management in Integrated VANET — 3G Heterogeneous Wireless Networks. IEEE Journal on Selected Areas in Communications 29(3), 559–570 (2011), doi:10.1109/JSAC.2011.110306
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer International Publishing Switzerland
About this paper
Cite this paper
Magaña, V.C., Organero, M.M. (2013). AndroWI: Collaborative System for Fuel Saving Using Android Mobile Devices. In: van Berlo, A., Hallenborg, K., Rodríguez, J., Tapia, D., Novais, P. (eds) Ambient Intelligence - Software and Applications. Advances in Intelligent Systems and Computing, vol 219. Springer, Heidelberg. https://doi.org/10.1007/978-3-319-00566-9_7
Download citation
DOI: https://doi.org/10.1007/978-3-319-00566-9_7
Publisher Name: Springer, Heidelberg
Print ISBN: 978-3-319-00565-2
Online ISBN: 978-3-319-00566-9
eBook Packages: EngineeringEngineering (R0)