Industrial Control Systems (ICS) such as water and power are critical to any society. Process
anomaly detection mechanisms have been proposed to protect such systems to minimize …

As the number of technologies implemented in our daily life and rapidly deployed in the
transportation system continuously increases, the car-following model is crucial in the …

This paper proposes a novel hybrid model for learning discrete and continuous dynamics of
car-following behaviors. Multiple modes representing driving patterns are identified by …

Research of car-following behavior is very important to alleviate traffic congestion and
ensure traffic safety. To describe the car-following behavior of connected vehicles and …

Recognition is considered to be a basic human mental ability in psychology [Myers and
DeWall (2018); Reisberg (2013)]. It consists of identifying the objects (systems, processes …

It is essential for autonomous driving cars to understand and predict other surrounding cars'
behaviors, especially in urban environments, due to the high traffic volumes and complex …

Imitation learning provides a way to automatically construct a controller by mimicking human
behavior from data. For safety-critical systems such as autonomous vehicles, it can be …

With the development of self-driving technology, the fundamental behaviors like car-
following, lane change have been validated and tested in various kinds of scenarios …

Complex systems represented by multivariate time series are ubiquitous in many
applications, especially in industry. Understanding a complex system, its states and their …

Deriving an accurate behavior model from historical data of a black box for verification and
feature forecasting is seen by industry as a challenging issue especially for a large featured …