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

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 …

In this paper we develop a continuous-time stochastic dynamic model for the optimal parking
management of connected autonomous vehicles (CAVs) in the presence of multiple parking …

This study proposes a bi-level optimization program to represent the electric vehicle (EV)
charging infrastructure design and utilization management problem with user-equilibrium …

With the development of autonomous vehicle, the autonomous valet parking has been
attracting extensive attention, by relieving users' inconvenience from parking. Compared …

In-advance availability of parking information plays an important role in parker/traveller
decision-making for parking, curbing congestion, and managing parking lots efficiently …

In urban areas, traffic congestion is caused by vehicles slowing down as drivers search for
vacant parking spaces. In this study, we propose a novel smart-parking system that allocates …

This paper aims to investigate the electric vehicle (EV) charging network design and
utilization management considering user-centric decisions. A hierarchical formulation is …

This article approaches ride sharing from the perspectives of equity and sustainability. A lack
of transportation access exacerbates the challenges faced by transportation-disadvantaged …