Transportation is the second-largest sector contributing to greenhouse gas emissions due to
CO2 gas generation from the combustion of fossil fuels. Electric vehicles (EVs) are believed …

Electric vehicles (EVs) are gaining more and more traction as a viable option in the
automotive sector. This mode of transportation is currently on track, according to current …

In many spatial trajectory-based applications, it is necessary to map raw trajectory data
points onto road networks in digital maps, which is commonly referred to as a map-matching …

This paper explores deep learning (DL) methods that are used or have the potential to be
used for traffic video analysis, emphasising driving safety for both autonomous vehicles and …

Interactions of motorised vehicles with pedestrians have always been a concern in traffic
safety. The major threat to pedestrians comes from the high level of interactions imposed in …

Jaywalking at the mid-blocks without crossing facilities has been widely acknowledged as a
dangerous crossing behavior. Due to the “unexpected” nature of jaywalking activities …

Jaywalking at the mid-blocks without crossing facilities is a common yet dangerous crossing
behavior in China. Due to inadequate protection of jaywalkers' right-of-way, they often need …

Vehicle safety on roadsides is vital for preventing collisions, controlling failures and
accidents, and ensuring driver and passenger wellness. Finite Element Analysis (FEA) in …

The paper introduces an interpretable machine learning technique SHAP (SHapley Additive
exPlanation) to analyze the vehicle yielding behaviors during pedestrian-vehicle …

As they become more widespread, electric vehicles (EVs) will require more electricity to
charge. It is expected that a range of grid transportation solutions that complement one …