Most driving recommendation and assistance systems, such as Advanced Driving
Assistance Systems (ADAS), are usually designed based on the behavior of an average …

Connected autonomous vehicle (CAV) technology has the potential to enable significant
gains in energy economy (EE). Much research attention has been focused on autonomous …

The application of naturalistic driving data (NDD) has the potential to answer critical
research questions in the area of driving behavior assessment, as well as the impact of …

Since the complexity of modern vehicles is increasing continuously, car manufacturers are
forced to improve the efficiency of their development process to remain profitable. A …

Vehicles electrification marks a very important step towards sustainable mobility. However,
energy efficiency and driving range of electrified vehicles are nowadays a major concern …

Trajectory generation and trajectory prediction are two critical tasks in autonomous driving,
which generate various trajectories for testing during development and predict the …

A vehicle's longitudinal acceleration is a parameter often used for determining vehicle
motion dynamics. This parameter can also be used to evaluate driver behavior and …

This work proposes a new approach for the optimal energy management of a hybrid electric
vehicle (EV) considering traffic conditions. The method is based on a bilevel decomposition …

With the rapid and wide implementation of adaptive cruise control system (ACC), the testing
and evaluation method becomes an important question. Based on the human driver …

This paper discusses the feasibility of data captured in a long-term Naturalistic Driving Study
(NDS) for identification of vehicle dynamics. Driving data were captured for over a year. In …