Driver behavior models have been used as input to self-coaching, accident prevention
studies, and developing driver-assisting systems. In recent years, driver behavior …

Behavior-related research areas such as motion prediction/planning, representation/
imitation learning, behavior modeling/generation, and algorithm testing, require support from …

The emergence of autonomous vehicles (AVs) is expected to revolutionize road
transportation in the near future. Although large-scale numerical simulations and small-scale …

In this paper, we consider connected cruise control design in mixed traffic flow where most
vehicles are human-driven. We first propose a sweeping least square method to estimate in …

Ideal cyber threat intelligence (CTI) includes insights into attacker strategies that are specific
to a network under observation. Such CTI currently requires extensive expert input for …

This paper proposes an improved intelligent driver model (IDM) by considering the
information of multiple front and rear vehicles to describe the car-following behaviour of …

A vehicle platoon is a group of vehicles driving together with a harmonized speed and a
short inter-vehicle gap by using vehicle automation and vehicle-to-vehicle communication …

Autonomous vehicles (AVs) need to share the road with multiple, heterogeneous road users
in a variety of driving scenarios. It is overwhelming and unnecessary to carefully interact with …

For a long period, automated vehicles (AVs) or vehicle platoons will coexist with human-
driven vehicles (HDVs) in heterogeneous traffic flow, where the cut-in maneuver of human …

Event logs are often one of the main sources of information to understand the behavior of a
system. While numerous approaches have extracted partial information from event logs, in …