In this article, a novel astrophysics-inspired meta-heuristic optimization algorithm, namely
Transit Search (TS) is proposed based on a famous exoplanet exploration method. More …

This study develops a novel mixed-integer non-linear program to control the trajectory of
mixed connected-automated vehicles (CAVs) and connected human-driven vehicles (CHVs) …

This paper presents two algorithms to estimate traffic state in urban street networks with a
mixed traffic stream of connected and unconnected vehicles and incorporates them in a real …

This study introduces a methodology for cooperative signal timing and trajectory
optimization at intersections with a mix of connected automated vehicles (CAVs) and human …

Existing fixed-time traffic signal optimization methods mainly use traffic volumes collected by
infrastructure-based detectors (eg, loop detectors). These infrastructure-based detectors …

Transportation sector and its impacts on climate change have received much attention over
the last decade. Energy-optimal vehicle control algorithms such as adaptive cruise control …

This study presents a methodology for optimal control of connected automated vehicles
(CAVs) in freeway segments with a lane drop. Lane drops can create bottlenecks with a …

This paper presents a “cooperative vehicle sorting” strategy that seeks to optimally sort
connected and automated vehicles (CAVs) in a multi-lane platoon to reach an ideally …

This paper introduces a methodology to optimize the trajectory of connected automated
vehicles (CAVs) in roundabouts using a two-dimensional point-mass model. We formulate …

This paper presents a methodology to control the trajectory of cooperative connected
automated vehicles (CAVs) at roundabouts with a mixed fleet of CAVs and human‐driven …