Citation

Mahajan K, Velaga NR, Kumar A, Choudhary P. Int. J. Inj. Control Safe. Promot. 2019; ePub(ePub): ePub.

Affiliation

Department of Civil Engineering, Indian Institute of Technology (IIT) Bombay, Senior Research Fellow, Transportation Systems Engineering , Powai , India.

Copyright

(Copyright © 2019, Informa - Taylor and Francis Group)

DOI

10.1080/17457300.2019.1660375

PMID

31475877

Abstract

This study aims at capturing the influence of driver drowsiness on prevalence of traffic violations among long-haul truck drivers. The study is based on a roadside survey of 453 long-haul truck drivers, stopping at eateries and rest locations on highways connected to three Indian cities- Mumbai, Indore and Nagpur. The survey questionnaire was categorized into three sections: driver demographics, work-rest schedules and safety critical driver behavior (violations and lapses) in the last five years. The questions regarding unsafe driving practices like speeding, overtaking were combined to form a single factor 'violations' using Principal Component Analysis (PCA). A generalized linear model using negative binomial regression predicted young drivers (aged below 25 years), long working hours, insufficient sleeping hours, driving after mid-night, sleepiness on the wheel and frequent traffic violations as significant contributors of violations among the long-haul truck drivers.

Language: en

Keywords

Fatigue; India; factor analysis; negative binomial; sleepiness; traffic violations; truck drivers