Motivated by the need for simulation tools for testing, verification and validation of
autonomous driving systems that operate in traffic consisting of both autonomous and …

For a foreseeable future, autonomous vehicles (AVs) will operate in traffic together with
human-driven vehicles. Their planning and control systems need extensive testing …

Autonomous driving has been the subject of incre-ased interest in recent years both in
industry and in academia. Serious efforts are being pursued to address legal, technical, and …

A major challenge for autonomous vehicles is handling interactions with human-driven
vehicles—for example, in highway merging. A better understanding and computational …

In this paper, we discuss a game theoretic approach to model the time-extended, multi-step,
and interactive decision making of vehicles at unsignalized intersections. The vehicle …

Autonomous vehicles are expected to display human-like behavior, at least to the extent that
their decisions can be intuitively understood by other road users. If this is not the case, the …

A key issue in autonomous driving is the problem of decision logic, particularly, as it pertains
to mixed traffic involving autonomous and human-driven vehicles. With this in mind, we …

Modeling, prediction, and evaluation of personalized driving behaviors are crucial to
emerging advanced driver-assistance systems (ADAS) that require a large amount of …

The deployment of connected, automated vehicles (CAVs) provides the opportunity to
enhance the safety and efficiency of transportation systems. However, despite the rapid …

We in this paper investigate navigation strategies of two cross-moving connected and
autonomous vehicles (CAVs) at an unsignalised intersection. As highly intelligent and …