Digital Twin (DT) is an emerging technology and has been introduced into intelligent driving
and transportation systems to digitize and synergize connected automated vehicles …

Every year worldwide more than one million people die and a further 50 million people are
injured in traffic accidents. Therefore, the development of car safety features that actively …

Accurately detecting and predicting Lane Change (LC) processes of human-driven vehicles
can help autonomous vehicles better understand their surrounding environment, recognize …

The aim of this study is to identify the best practices and future research directions for driver
lane-change intention (DLCI) prediction using eye-tracking technologies based on a …

The development of next-generation, intelligent manufacturing relies on the realization of
human-cyber-physical systems. This key area of transdisciplinary research seeks to …

Classification is one important and commonly used Machine Learning technique. The
classification effectiveness can be influenced by different factors and initial data used for the …

Driver's emotion is a psychological reaction to environmental stimulus. Driver intention is an
internal state of mind, which directs the actions in the next moment during driving. Emotions …

We are living in an information age where all our personal data and systems are connected
to the Internet and accessible from more or less anywhere in the world. Such systems can be …

Identification of driving intentions has increasingly attracted wide attention since it can be a
valuable reference input of vehicle intelligent control systems. In this study, the long short …

Driving intention has been widely used in intelligent driver assistance systems, automated
driving systems, and electric vehicle control strategies. The accuracy, practicality, and …