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A Statistical Approach to Estimating Driving Events by a Smartphone
Conference proceeding   Peer reviewed

A Statistical Approach to Estimating Driving Events by a Smartphone

Yazan A. Alqudah and Belal H. Sababha
2016 International Conference on Computational Science and Computational Intelligence (CSCI), pp.1021-1025
International Conference on Computational Science and Computational Intelligence (CSCI) (Las Vegas, NV, USA, 12/15/2016–12/17/2016)
01/01/2016
DOI: https://doi.org/10.1109/CSCI.2016.194
Web of Science ID: WOS:000405582400187

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4 Times Cited - Web of Science

Abstract

The ability of a smartphone to provide motion sensing information enables a low-cost, portable tool to analyze and understand vehicle driving events. Fuel economy, Driving Safety, and better estimation of driving cost can be analyzed based not only on distance and time of travel but also on the nature of driving. This work studies sensors data collected during a field drive test and proposes a new approach to classifying driving events. The new approach is based on the statistics of sensors data collected. It is shown that by using the mean and variance of the sensors data, it will be possible to distinguish different driving events. This enables estimating cost of travel to include, in addition to distance and time of travel, the number of events that adds to fuel consumption and vehicle wear and tear.

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