Driving Safety Risk Analysis Using Naturalistic Driving Data

Authors

  • P. Sathya Siva Reddy
  • N. Deepa

Abstract

Driving danger differs generously among drivers. Notwithstanding the genuine car crash information, naturalistic driving information can permit specialists gain bits of knowledge into the elements that reason chance/danger circumstances. Utilizing Big Data Technology, we are gathering nitty gritty driving information on a couple of regions. With these dataset's we are building a potential-crash database which contains Vehicle status, driving condition, street type, climate conditions and driver subtleties in which we investigate to get various kinds of hazard levels. Surmised 6% of drivers were recognized as high-hazard and 18% of driver as high/moderate hazard drivers. Recognizing and foreseeing high-chance drivers will significantly profit the improvement of proactive driver training projects and security countermeasures. The outcomes show that Velocity while braking, Age, Personality qualities and Environmental conditions have solid relationship to the high-chance driving or forceful driving.

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Published

2020-02-19

Issue

Section

Articles