Studying the Effect of Fatigue and Sleepiness of Long-Haul Truck Drivers on Road Accidents by Adopting Structural Equation Models Analysis

The significant increase in transportation and heavy vehicle traffic has caused freeway routes with to face a decrease safety levels. Furthermore, fatigue sleepiness are proven be two of the main reasons road accidents, therefore focus on these issues is crucial. Factors such as “use engineering (safety) technology for transport”, “informing drivers various educational methods”, “controlling drivers’ work hours”, different (alignment inconsistency)” “observing mental health” should approached reduce accidents by sleepiness. Given complex interrelationships between variables number structural equation modelling been used this study estimate effect relationships multiple variables. Data were collected during 5-month period interviewing (2765 filled-out questionnaires). Confirmatory Factor Analysis (CFA) also ascertain validity questionnaires. mentioned factors affecting analyzed using SPSS 24.0 package, which allowed ascertaining that health factor greater influence drowsiness. Therefore, actions improve emotional (by improving currently alignment inconsistency) enhanced rather than excessive controls hours GPS, papers inspections.