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)


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.


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.


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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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