This study reports usage of supervised automation and driver attention from longitudinal
naturalistic driving observations. Automation inexperienced drivers were provided with …

Driver's personalities in decision-making and tactical maneuvering preferences developed
over time is generally defined as “driving style”. Driving style recognition can be applied in …

Predictive maintenance plays a crucial role in ensuring the reliability and efficiency of naval
vessel propulsion. Naval vessel propulsion systems generate intricate sensor data because …

This paper introduces a novel integration of Gaussian Mixture Models (GMMs) with Long
Short-Term Memory (LSTM) networks to enhance predictive maintenance strategies for …

Traffic incidents can create major non-recurring congestion and have the potential to be
fatal. Traffic Engineers and researchers have worked vigorously to reduce and prevent traffic …

Nuclear power plant (NPP) operators need to have sufficient real-time cognitive ability to
ensure their adherence to operational procedures and solve unexpected problems. The …

Traditional statistical methods have used a coarse aggregation of data across subjects that
may not be representative of any single individual. Even though Generalized Estimating …

This study develops a proactive, dynamic emergency resource allocation framework to
overcome the limitations of nearest methods while incorporating Unmanned Aerial Vehicles …

This study develops a proactive, dynamic emergency resource allocation framework to
overcome the limitations of nearest methods while incorporating Unmanned Aerial Vehicles …

To better understand the effects of distracted driving on crash causation, forward roadway
glance durations need to be carefully examined. Secondary tasks that impose high cognitive …