Dangerous driving condition analysis in driver assistance systems

Chiung-Yao Fang, C. F. Chiou, C. L. Chen, Sei-Wang Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

This study presents a new method of analyzing whether a vehicle is in a dangerous driving condition while travelling along a highway. We use data from various sensors installed on the vehicle, which represent the driving attributes associated with a particular driving scenario, as inputs to our system. However, as some of these sensors may be dependent on each other, using redundant attributes to analyze the driving conditions can become very time consuming. Therefore, our dangerous driving condition analysis system (DDCAS) first selects discriminative attributes using a fuzzy rough sets technique. Next, based on these selected attributes a set of association rules is constructed, which is then used to infer whether a driving condition is hazardous or safe. If the driver is detected to be in a dangerous driving condition, the DDCAS outputs warning messages to the driver in an attempt to reduce the likelihood of an accident. This paper outlines experiments, which were conducted with a simulated system. In the future, we will install the DDCAS onto a real vehicle, with the aim of reducing the number of real accidents caused due to dangerous driving conditions.

Original languageEnglish
Title of host publication2009 12th International IEEE Conference on Intelligent Transportation Systems, ITSC '09
Pages791-796
Number of pages6
DOIs
Publication statusPublished - 2009 Dec 28
Event2009 12th International IEEE Conference on Intelligent Transportation Systems, ITSC '09 - St. Louis, MO, United States
Duration: 2009 Oct 32009 Oct 7

Publication series

NameIEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

Other

Other2009 12th International IEEE Conference on Intelligent Transportation Systems, ITSC '09
CountryUnited States
CitySt. Louis, MO
Period09/10/309/10/7

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ASJC Scopus subject areas

  • Automotive Engineering
  • Mechanical Engineering
  • Computer Science Applications

Cite this

Fang, C-Y., Chiou, C. F., Chen, C. L., & Chen, S-W. (2009). Dangerous driving condition analysis in driver assistance systems. In 2009 12th International IEEE Conference on Intelligent Transportation Systems, ITSC '09 (pp. 791-796). [5309877] (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC). https://doi.org/10.1109/ITSC.2009.5309877