For a decade, researchers working in the area of road safety have started exploring the use
of driving behavior data for a better understanding of the causes related to road accidents. A …

INTRODUCTION: Driver drowsiness is a significant contributing factor to road crashes. One
approach to tackling this issue is to develop technological countermeasures for detecting …

Automated vehicles (AVs) must be thoroughly evaluated before their release and
deployment. A widely used evaluation approach is the Naturalistic-Field Operational Test (N …

The performance and practicality of predictive energy management in hybrid electric
vehicles (HEVs) are highly dependent on the forecast of future vehicular velocities, both in …

The safety of automated vehicles (AVs) must be assured before their release and
deployment. The current approach to evaluation relies primarily on 1) testing AVs on public …

In this paper, we propose a simple yet effective method of identifying traffic conditions on
surface streets given location traces collected from on-road vehicles---this requires only GPS …

OBJECTIVES: The objective was to update estimates of maximum potential crash reductions
in the United States associated with each of four crash avoidance technologies: side view …

Big data has shown its uniquely powerful ability to reveal, model, and understand driver
behaviors. The amount of data affects the experiment cost and conclusions in the analysis …

Daily driving missions provide the fundamental information required to predict the impact of
the plug-in hybrid electric vehicle (PHEV) on the grid. In this paper, we propose a statistical …

As the development and deployment of in-vehicle intelligent safety systems (ISS) for crash
avoidance and mitigation have rapidly increased in the last decades, the need to evaluate …