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Detecting Aggressive Driving Behavior with Participatory Sensing

  • Miguel Angel Ylizaliturri-SalcedoEmail author
  • Monica Tentori
  • J. Antonio Garcia-Macias
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9454)

Abstract

Aggressive driving increases the risk of accidents, and it is normally a consequence of the impatience, frustration, or anger of drivers. In this paper, we present a case study showing the feasibility of using participatory sensing to enable drivers to report and gain awareness on aggressive driving behavior. We describe the design and development of the Driving Habits System prototype, a mobile application that enables drivers deploying sensing campaigns to collect data about their driving habits. We also discuss the results from a 5-weeks deployment study, where 23 drivers used the system in their everyday lives in the city of Ensenada, Mexico. Our results indicate that our prototype was useful and easy to learn. Its design allows drivers to raise awareness on their driving behaviors and motivates them to engage on a participatory sensing campaign to identify issues on the factors that affect driving. We close discussing design issues for ubiquitous applications to be used while driving and the potential impact of such tools in promoting self-reflection and behavior change.

Keywords

Driving Behavior Expertise Interaction Android Device Average Trip Ubiquitous Application 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    Cronbach, L.J.: Coefficient alpha and the internal structure of tests. Psychometrika 16(3), 297–334 (1951). http://link.springer.com/10.1007/BF02310555 CrossRefGoogle Scholar
  2. 2.
    Dai, J., Teng, J., Bai, X., Shen, Z., Xuan, D.: Mobile phone based drunk driving detection. In: Proceedings of the 4th International ICST Conference on Pervasive Computing Technologies for Healthcare. IEEE (2010). http://eudl.eu/doi/10.4108/ICST.PERVASIVEHEALTH2010.8901
  3. 3.
    Ganti, R., Ye, F., Lei, H.: Mobile crowdsensing: current state and future challenges. IEEE Commun. Mag. 49(11), 32–39 (2011). http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6069707 CrossRefGoogle Scholar
  4. 4.
    Traffic Regulations for the Municipality of Ensenada, Baja California (2000). https://www.ebajacalifornia.gob.mx/pdfs/reg_transitoens.pdf
  5. 5.
    Johnson, D.A., Trivedi, M.M.: Driving style recognition using a smartphone as a sensor platform. In: 2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC), pp. 1609–1615, Oct 2011. http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6083078
  6. 6.
    Likert, R.N.Y.U.: A technique for the measurement of attitudes. Arch. Psychol. 22(140), 5–55 (1932)Google Scholar
  7. 7.
    de Cózar, E.L., Ibáñez, J.G.M., Perales, M.C., Barbany, J.M.A., Arce, J.S.: Spanish adaptation of the driver behaviour questionnaire and comparison with other european adaptations. In: 5th Conference of the International Test Commission: Psychological and Educational Test Adaptation Across Languages and Cultures Building Bridges Among People, Brusells (2006). http://www.uv.es/metras/docs/2006_ITC_lopez_de_cozar.pdf
  8. 8.
    Osswald, S., Wurhofer, D., Trösterer, S., Beck, E., Tscheligi, M.: Predicting information technology usage in the car : towards a car technology acceptance model. In: Proceedings of the 4th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI 2012), pp. 51–58. ACM (2012). http://dl.acm.org/citation.cfm?doid=2390256.2390264
  9. 9.
    Posner, J., Russell, J.A., Peterson, B.S.: The circumplex model of affect: an integrative approach to affective neuroscience, cognitive development, and psychopathology. Dev. Psychopathol. 17(3), 715–34 (2005). http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=2367156
  10. 10.
    Riahi, M., Papaioannou, T.G., Trummer, I., Aberer, K.: Utility-driven data acquisition in participatory sensing. In: Proceedings of the 16th International Conference on Extending Database Technology - EDBT 2013, p. 251 (2013). http://dl.acm.org/citation.cfm?doid=2452376.2452407
  11. 11.
    Shilton, K., Burke, J., Estrin, D., Hansen, M., Srivastava, M.: Participatory privacy in urban sensing (2008). http://escholarship.org/uc/item/90j149pp.pdf
  12. 12.
    Tasca, L.: A review of the literature on aggressive driving research (2000). http://www.aggressive.drivers.com/papers/tasca/tasca.pdf

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Miguel Angel Ylizaliturri-Salcedo
    • 1
    Email author
  • Monica Tentori
    • 1
  • J. Antonio Garcia-Macias
    • 1
  1. 1.CICESE Research CenterEnsenadaMexico

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