Electric vehicles (EVs) have a limited driving range compared to conventional vehicles.
Accurate estimation of EV's range is therefore a significant need to eliminate “range anxiety” …

Electric vehicles (EVs) are critical to the transition to a low-carbon transportation system. The
successful adoption of EVs heavily depends on energy consumption models that can …

Drivers of battery electric vehicles (BEVs) require an accurate and reliable energy
consumption prediction along a chosen route to reduce range anxiety. The energy …

The rapid growth of transportation sector and related emissions are attracting the attention of
policymakers to ensure environmental sustainability. Therefore, the deriving factors of …

This paper highlights the role of humans in the next generation of driver assistance and
intelligent vehicles. Understanding, modeling, and predicting human agents are discussed …

This paper proposes a real-time dynamic predictive cruise control (PCC) system to minimize
the energy consumption for electric vehicles (EVs) under integrated traffic situations with …

The energy consumption (EC) of battery-electric buses (BEB) varies significantly due to the
intertwined relationships of vehicular, operational, topological, and external parameters …

Recently, the number of road accidents has been increased worldwide due to the distraction
of the drivers. This rapid road crush often leads to injuries, loss of properties, even deaths of …

Electric vehicles (EVs) have great potential to reduce transportation-related fossil fuel
consumption as well as pollutant and greenhouse gas (GHG) emissions, due to their use of …

In this paper, we propose a visualization method for driving behavior that helps people to
recognize distinctive driving behavior patterns in continuous driving behavior data. Driving …