Abstract Machine learning-based techniques have shown great promises in perception,
prediction, planning, and general decision-making for improving task performance of …

The autonomous vehicular technology is approaching a level of maturity that gives
confidence to end-users in many cities around the world for their usage so as to share the …

Contemporary research in connected and automated vehicle (CAV) operations typically
segregates trajectory prediction from planning in two segregated models. Trajectory …

The connected and automated vehicle (CAV) technology in recent years has demonstrated
its potential in improving efficiency in transportation systems. Prediction, as a key component …

As self-driving vehicles become increasingly popular, new generations of attackers will seek
to exploit vulnerabilities introduced by the technologies that underpin such vehicles for a …

Our current transportation system is on the brink of transforming into a highly connected,
automated, and intelligent system as a result of the rapid emergence of connected …

The connected and autonomous vehicle (CAV) is the next-generation mobility service—
powered by intelligent automation and robust communication—which is aimed at replacing …

Connected autonomous vehicles (CAVs) hold the promise of not only enhancing functional
safety but also improving mobility and the efficiency of transportation systems. The CAV is a …

In this paper, we propose a decision-making framework for autonomous driving at road
intersections that determines appropriate maneuvers for an autonomous vehicle to navigate …

Autonomous driving has the potential to significantly improve safety. Although progress has
been made in recent years to deploy automated driving technologies, many situations …