E-WAY APPROACH TO SENSE THE ROAD CONDITION USING MACHINE LEARNING
Journal: International Education and Research Journal (Vol.5, No. 6)Publication Date: 2019-06-15
Authors : Sanjay K. Jaiswal Umesh Wagh Pratik Kamble Sanchit Kalra;
Page : 4-6
Keywords : ;
Abstract
Monitoring road & traffic conditions in a city is a problem widely studied. Several methods have been proposed for addressing this problem. Several proposed techniques require dedicated hardware such as GPS-devices and acce-lerometers in vehicles or cameras on the road-side and near traffic signals. All such methods are expensive in terms of monetary cost and human effort required. We propose a notion- intrusive method that uses sensors present on smartphones. In the proposed system, we use an acce-lerometer, GPS sensor readings for traffic and road conditions detection. We are specifically interested in identifying braking events - frequent braking indicates congested traffic conditions - and bumps on the roads to characterize the type of road.
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