Driving style may have an important effect on traffic safety. Proactive crash risk prediction for
lane-changing behaviors incorporating individual driving styles can help drivers make safe …

Driving style can substantially impact mobility, safety, energy consumption, and vehicle
emissions. While a range of methods has been used in the past for driving style …

We present a novel approach for traffic forecasting in urban traffic scenarios using a
combination of spectral graph analysis and deep learning. We predict both the low-level …

Supervised learning approaches are widely used for driving style classification; however,
they often require a large amount of labeled training data, which is usually scarce in a real …

Accurately estimating driving styles is crucial to designing useful driver assistance systems
and vehicle control systems for autonomous driving that match how people drive. This paper …

Driving behavior has a large impact on vehicle fuel consumption. Dedicated study on the
relationship between the driving behavior and fuel consumption can contribute to …

Vehicle fuel economy is greatly influenced by the driver's driving style. To achieve
remarkable promotion in the fuel economy, a novel predictive energy management strategy …

Vehicle insurance is a very important source of income for insurance companies, and it is
closely related to the driving style performed by driving behavior. Different driving styles can …

Side collisions caused by sudden vehicle cut-ins comprise a significant proportion of traffic
accidents. Due to the complex and dynamic nature of traffic environments, the warning …

In this paper, a three-level decision-making framework is developed to generate safe and
effective decisions for autonomous vehicles (AVs). A key component in this decision …