[HTML][HTML] A novel spherical decision-making model for measuring the separateness of preferences for drivers' behavior factors associated with road traffic accidents

S Moslem, D Farooq, D Esztergár-Kiss… - Expert systems with …, 2024 - Elsevier
Enhancing road safety through a more effective understanding of drivers' behavior is a
viable approach to curbing traffic collisions. When evaluating driving behavior, the selection …

[HTML][HTML] Modelling the continuum of serious traffic injuries in police-hospital linked data by applying the random parameters hazard-based duration model

K Alzaffin, SA Kaye, A Watson, MM Haque - Analytic methods in accident …, 2023 - Elsevier
Injury severity in police crash reports is usually recorded in three to five classes, including
property damage, slight, moderate, serious, and fatal injuries. Among these classifications …

Analysis of commercial truck drivers' potentially dangerous driving behaviors based on 11-month digital tachograph data and multilevel modeling approach

T Zhou, J Zhang - Accident Analysis & Prevention, 2019 - Elsevier
This study analyzed the potentially dangerous driving behaviors of commercial truck drivers
from both macro and micro perspectives. The analysis was based on digital tachograph data …

Human factors related to major road traffic accidents in China

Y Zhang, L **g, C Sun, J Fang, Y Feng - Traffic injury prevention, 2019 - Taylor & Francis
Objective: The goals of this research are to:(i) investigate the contributing factors of major
road traffic accidents using a human factors classification that follows the ideas of the human …

Evaluation of driver behavior criteria for evolution of sustainable traffic safety

D Farooq, S Moslem, S Duleba - Sustainability, 2019 - mdpi.com
Driver behavior has been considered as the most influential factor in reducing fatal road
accidents and the resulting injuries. Thus, it is important to focus on the significance of driver …

Exploring microscopic driving volatility in naturalistic driving environment prior to involvement in safety critical events—Concept of event-based driving volatility

B Wali, AJ Khattak, T Karnowski - Accident Analysis & Prevention, 2019 - Elsevier
The sequence of instantaneous driving decisions and its variations, known as driving
volatility, prior to involvement in safety critical events can be a leading indicator of safety …

A data fusion approach of police-hospital linked data to examine injury severity of motor vehicle crashes

K Alzaffin, SA Kaye, A Watson, MM Haque - Accident Analysis & Prevention, 2023 - Elsevier
Injury severity studies typically rely on police-reported crash data to examine risk factors
associated with traffic injuries. The police crash database includes essential information on …

Estimating driver behavior measures related to traffic safety by investigating 2-dimensional uncertain linguistic data—a pythagorean fuzzy analytic hierarchy process …

D Farooq, S Moslem - Sustainability, 2022 - mdpi.com
Human behavior has been estimated as a factor too uncertain and complex to investigate
road safety issues. By utilizing recent expansions of ordinary fuzzy sets, experts in the field …

Fatigueview: A multi-camera video dataset for vision-based drowsiness detection

C Yang, Z Yang, W Li, J See - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
Although vision-based drowsiness detection approaches have achieved great success on
empirically organized datasets, it remains far from being satisfactory for deployment in …

Descriptive, injunctive, and collective norms: An expansion of the theory of normative social behavior (TNSB)

RN Rimal, H Yilma - Health communication, 2022 - Taylor & Francis
We propose and test several hypotheses derived from the expanded theory of normative
social behavior (TNSB) that also includes collective norms (with descriptive and injunctive …