With the continuous maturation and application of autonomous driving technology, a
systematic examination of open-source autonomous driving datasets becomes instrumental …

Driving style can significantly affect the energy consumption, battery lifespan, and driving
economy of electric vehicles. In this context, this paper proposes a novel driving style-aware …

Energy management strategy (EMS) is a crucial technology for ensuring the fuel efficiency of
hybrid electric vehicles (HEVs). However, the complex discrete-continuous hybrid action …

Driving style assessment plays an important role in intelligent transportation system (ITS)
applications, such as driving feedback provision and usage-based insurance. Many …

Since the vehicle's response according to the driver's gas pedal operation varies greatly
depending on the driving mode, the selection of the driving mode significantly affects the …

Older drivers who are aware of their declining functions tend to adopt a cautious driving style
to compensate for their declining driving abilities. However, whether cautious older drivers …

Fuel-saving-oriented collaborative driving is a highly promising yet challenging endeavor
that requires satisfying the driver's operational intentions while surpassing the driver's fuel …

This paper explores the use of driver-in-the-loop simulations to detect personalized driving
styles in autonomous vehicles. The driving simulator used in this study is modular and …

In-wheel-motor-driven electric vehicles (IWM-EVs) provide more potential to enhance
vehicle stability performance. However, traditional stability control relies on the current status …

To address the shortcomings of previous autonomous decision models, which often
overlook the personalized features of users, this paper proposes a personalized decision …