Modeling and Detecting Aggressiveness From Driving Signals

  title={Modeling and Detecting Aggressiveness From Driving Signals},
  author={Ana Bel{\'e}n Rodr{\'i}guez-Gonz{\'a}lez and Mark Richard Wilby and Juan Jos{\'e} Vinagre-D{\'i}az and Carmen S{\'a}nchez {\'A}vila},
  journal={IEEE Transactions on Intelligent Transportation Systems},
The development of advanced driver assistance systems (ADASs) will be a crucial element in the construction of future intelligent transportation systems with the objective of reducing the number of traffic accidents and their subsequent fatalities. Specifically, driving behaviors could be monitored online to determine the crash risk and provide warning information to the driver via their ADAS. In this paper, we focus on aggressiveness as one of the potential causes of traffic accidents. We… CONTINUE READING
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Publications referenced by this paper.
Showing 1-10 of 24 references

Driving Safety Monitoring Using Semisupervised Learning on Time Series Data

IEEE Transactions on Intelligent Transportation Systems • 2010
View 3 Excerpts
Highly Influenced

Subliminal Persuasion and Its Potential for Driver Behavior Adaptation

IEEE Transactions on Intelligent Transportation Systems • 2012
View 1 Excerpt

Global status report on road safety.

Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention • 2009
View 1 Excerpt

Analysis of speedingrelated fatal motor vehicle traffic crashes

C. Liu, C.-L. Chen, R. Subramanian, D. Utter
National Highway Traffic Safety Administration, Washington, DC, USA, Tech. Rep., 2005. • 2005
View 1 Excerpt

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