How tired is too tired to drive? A systematic review assessing the use of prior sleep duration to detect driving impairment

M Sprajcer, D Dawson, A Kosmadopoulos… - Nature and science of …, 2023 - Taylor & Francis
Driver fatigue is a contributory factor in approximately 20% of vehicle crashes. While other
causal factors (eg, drink-driving) have decreased in recent decades due to increased public …

Driving safety assessment for ride-hailing drivers

H Mao, X Deng, H Jiang, L Shi, H Li, L Tuo… - Accident Analysis & …, 2021 - Elsevier
Ride-hailing services, which have become increasingly prevalent in the last decade, provide
an efficient travel mode by matching drivers and travelers via smartphone apps. Ride-hailing …

Drivers' subjective perceptions of the contextual factors influencing fatigue: A qualitative study of suburban bus drivers in Iran

F Khanehshenas, A Mazloumi, PA Jalaldehi, M Kaveh - Work, 2022 - content.iospress.com
BACKGROUND: Drivers' drowsiness is a significant issue globally known as a contributing
factor to crashes in various transportation operations. Although there is evidence that …

A non-parametric Bayesian change-point method for recurrent events

Q Li, F Guo, I Kim - Journal of Statistical Computation and …, 2020 - Taylor & Francis
This paper proposes a non-parametric Bayesian approach to detect the change-points of
intensity rates in the recurrent-event context and cluster subjects by the change-points …

A Bayesian time-varying coefficient model for multitype recurrent events

Y Liu, F Guo - Journal of Computational and Graphical Statistics, 2020 - Taylor & Francis
This article proposes a Bayesian time-varying coefficient model to evaluate the temporal
profile of intensity for multitype recurrent events. The model obtains smooth estimates for …

Hierarchical point process models for recurring safety critical events involving commercial truck drivers: A reliability framework for human performance modeling

M Cai, A Mehdizadeh, Q Hu… - Journal of Quality …, 2022 - Taylor & Francis
Quality in the trucking industry involves several facets, including on-time performance and
safety. In the largest naturalistic driving study to-date, with 496 drivers and 13 M miles …

Optimization method to reduce the risky driving behaviors of ride-hailing drivers

Y Ding, X Zhao, Y Wu, C He, S Liu, R Tian - Journal of safety research, 2023 - Elsevier
Introduction: To promote the safety level of ride-hailing services, this study develops the
Targeted and Differentiated Optimization Method of Risky Driving Behavior Education and …

Bayesian criterion‐based assessments of recurrent event models with applications to commercial truck driver behavior studies

Y Zhang, MH Chen, F Guo - Statistics in Medicine, 2022 - Wiley Online Library
Multitype recurrent events are commonly observed in transportation studies, since
commercial truck drivers may encounter different types of safety critical events (SCEs) and …

Modeling Truck Safety Critical Events: Efficient Bayesian Hierarchical Statistical and Reliability Models

M Cai - 2020 - search.proquest.com
Background: Large trucks are the primary concern of traffic safety since they are associated
with more catastrophic accidents. Since real crashes are very rare, a growing number of …