Balamurugan Shandhana Rashmi- Master of Engineering
- Research scholar at National Institute of Technology Tiruchirappalli
Balamurugan Shandhana Rashmi
- Master of Engineering
- Research scholar at National Institute of Technology Tiruchirappalli
Exploring the factors affecting truck driver behavior in relation to road safety outcomes
About
8
Publications
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Introduction
Rashmi is a research scholar in Transportation Engineering and Management (TEM) division, Department of Civil Engineering at National Institute of Technology (NIT), Tiruchirappalli, India. Previously, She has completed her M.E degree at College of Engineering, Anna University, Chennai in fall 2021. She is currently involved in investigating the factors affecting truck driver behavior in relation to road safety outcomes.
Skills and Expertise
Current institution
Education
September 2019 - March 2021
July 2015 - March 2019
Publications
Publications (8)
Mobile phone use while driving (MPWD) is one of the most critical behaviours contributing to distraction related fatalities and injuries. However, MPWD is not well understood among long-haul truck drivers (LHTDs) especially in developing countries like India. The present study aims to develop a
prediction model for MPWD and attempts to identify th...
Speeding is one of the most common aberrant driving behaviors among the driving population. Although research on speeding behavior among drivers has been increased over the decades, little is known about the motivating factors associated with speeding behavior among Long-Haul Truck Drivers (LHTDs), especially in developing nations like India. This...
Road traffic injuries and crashes are one of the major public concerns contributing to mortality and morbidity figures across the globe. Researchers estimated that around 90% of all causative factors for crashes are attributed to road users of which drivers are the principal controlling elements. Therefore, understanding complex human driver behavi...
Introduction: Long-haul Truck drivers (LHTDs) have long working hours, insufficient rest, and poor health conditions and often experience fatigue that substantially may lead to crashes and injuries. Despite its potential harmfulness, we have little understanding on non-linear hidden patterns of influential factors on fatigue driving, especially in...
