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A Novel Methodology to Detect Dangerous Driving Behaviour Through in Car System

Author(s):

Shalini M , PRINCE SHRI VENKATESHWARA PADMAVATHY ENGINEERING COLLEGE; Fincy Mol, PRINCE SHRI VENKATESHWARA PADMAVATHY ENGINEERING COLLEGE; Saranya TV, PRINCE SHRI VENKATESHWARA PADMAVATHY ENGINEERING COLLEGE

Keywords:

VANET, Smartphone, Sensors

Abstract

In this paper, a scheme of moving-vehicles behavior detection based on accelerometer is proposed. Three-axis accelerometers are installed on vehicles to capture the moving car postures. A fuzzy interpretation system is developed to infer states of vehicle posture, such as normal driving, left/ right turning, departure, accelerate, braking and bumping. Based on the appreciation of vehicle postures, the unsafe driving behaviors of car will be detected. In this paper, the strategy and development of hardware, vehicle stance measurement and dangerous driving behavior inferences are presented and realized. Additionally, a Window APP is developed to offer human machine interface. The system sends message to related user if dangerous driving behavior is detected. The noticed data is stored to cloud for further application.

Other Details

Paper ID: IJSRDV5I60489
Published in: Volume : 5, Issue : 6
Publication Date: 01/09/2017
Page(s): 2012-2016

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