Smart city programs provide a range of technologies that can be applied to solve
infrastructure problems associated with ageing infrastructure and increasing demands. The …

This study characterizes lane changing behavior of drivers under differing congestion levels
and identifies extreme lane changing traits using high-resolution trajectory data. Total lane …

Accurate lane-change prediction information in real time is essential to safely operate
Autonomous Vehicles (AVs) on the roadways, especially at the early stage of AVs …

The concentration of lane-changing maneuvers is the main contributor to speed drop and
congestion in weaving areas. Despite their importance, lateral maneuvers have received …

Field observations suggest that the Lane-Changing (LC) processes are often interrupted by
the surrounding vehicles. Understanding these intermediate interruptions and evasive …

The concentration of lane-changing maneuvers is the main contributor to speed drop and
congestion in weaving areas. Despite their importance, lateral maneuvers have received …

One challenging aspect of the connected and automated vehicle (CAV) operation in mixed
traffic is the development of a situation-awareness module for CAVs. While operating on …

This research proposes a new modeling framework for the analysis of freeway segments.
The framework provides a continuum from the operation of ramp weave segments to an …

Understanding the components of Transportation Cyber-Physical Systems (TCPS), and inter-
relation and interactions among these components are key factors to leverage the full …

This article demonstrates the use of traffic density observations collected dynamically in the
vicinity of probe vehicles. Fixed position sensors cannot capture the longitudinal evolution of …