Conclusive evidence has justified great importance of energy management strategies in the
performance and economy of plug-in hybrid electric vehicles (PHEVs). This article pays …

The Hybrid Choice Model (HCM) is a modeling framework that attempts to bridge the gap
between discrete choice models and behavioral theories by representing explicitly …

“A grave problem that developed in New Hampshire… now has all the motor-vehicle
commissioners of the eastern states in a wax. It's whether radios should be allowed on cars …

Aggressive driver behavior (ADB) is often linked with road crashes, especially during crash
imminent situations. Previous studies demonstrated that ADB was positively correlated with …

The current study focused on analyzing steering control of the drivers during a car-following
situation under increasing time pressure conditions. A driving simulator experiment was …

Car-following models, which are used to predict the acceleration-deceleration decisions of
drivers in the presence of a closely spaced lead vehicle, are critical components of traffic …

Inappropriate cruising speed, such as speeding, is one of the major contributors to the road
safety, which increases both the quantitative number and severity of traffic accidents …

In this paper we propose an unsupervised learning framework to predict risky driving at
intersections in a connected vehicle environment. The proposed framework uses time series …

For past two decades many researchers have been working on quantitative as well as
qualitative study of distractive driving using different approaches. Road traffic accidents have …

Aggressive driving, amongst all driving behaviors, is largely responsible for leading to traffic
accidents. With the objective to improve road safety, this paper develops an on-line …