The large-scale deployment of automated vehicles on public roads has the potential to
vastly change the transportation modalities of today's society. Although this pursuit has been …

The frequent crash occurrences have caused massive loss of lives and properties all over
the world. In order to improve traffic safety, it is vital to understand the relationships between …

In complex lane change (LC) scenarios, semantic interpretation and safety analysis of
dynamic interaction pattern are necessary for autonomous vehicles to make appropriate …

The objective of this paper is to examine practices for incorporating resilience by
transportation agencies. This paper presents findings from state-wide interviews and survey …

Discretionary lane change (DLC) is a basic but complex maneuver in driving, which aims at
reaching a faster speed or better driving conditions, eg, further line of sight or better ride …

This paper introduces CRITICAL, a novel closed-loop framework for autonomous vehicle
(AV) training and testing. CRITICAL stands out for its ability to generate diverse scenarios …

Road crashes are one of the critical issues in the transportation sector. Crash studies aim to
establish the relationship of crash occurrences with driver, environment and traffic factors …

Unmanned aerial systems, known as “drones,” are relatively new in collecting traffic data.
Data from drone videography can have potential applications for traffic research. Drones can …

The availability of real-world data is a key element for novel developments in the fields of
automotive and traffic research. Aerial imagery has the major advantage of recording …

Growing research attention is focusing on Automated Vehicle (AV) technologies, promising
significant safety benefits. An in-depth understanding of human driving will play an important …