9th Annual International Conference on Industrial Engineering and Operations Management

Predictive Model Affecting the Fatigue Condition of Drivers in the Philippines

Rianina Borres
Publisher: IEOM Society International
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Track: Occupational Safety and Health (OSH)
Abstract

Public transportation has been evolving through the past years. The latest mode of transportation is the application based rides also known as the transport network vehicle services. It has always been the safety of the passenger that is being prioritized. Drivers’ health condition should also be taken into consideration especially now that there are an increasing number of deaths among the drivers due to accidents mainly caused by fatigue. In this regard, the study aims to determine factors affecting the fatigue condition of drivers in order to ensure the safety of drivers and their passengers. The study also aims to design a smart watch that will monitor the fatigue level of drivers in order to prevent untoward incidents that will affect the safety of both drivers and passengers. Factors such as blood pressure, heart rate and oxygen level were considered in the study. The researchers made use of statistical analysis such as analysis of variance, correlation and regression in order to determine which factors are significant predictors of the fatigue level of drivers and thus, the factors identified will be considered in the design of the smart watch that will monitor the fatigue level of drivers.   

Published in: 9th Annual International Conference on Industrial Engineering and Operations Management, Bangkok, Thailand

Publisher: IEOM Society International
Date of Conference: March 5-7, 2019

ISBN: 978-1-5323-5948-4
ISSN/E-ISSN: 2169-8767