This research proposes to develop an advanced Eco-Cooperative Adaptive Cruise Control System (Eco-CACC) for hybrid electric vehicles (HEVs) to pass signalized intersections with energy-optimized speed profiles, with the consideration of impacts by multiple signalized intersections.
This research extends the Eco-Cooperative Adaptive Cruise Control (Eco-CACC) system previously developed by the research team for light duty vehicles (LDVs) to heavy duty vehicles (HDVs) such as diesel and hybrid electric buses.
This research summarizes recent studies on two versions of the Vehicle Routing Problem, i.e., the time-dependent vehicle routing problem (TD-VRP) and the green vehicle routing problem (G-VRP), for which a time-dependent version was also developed.
Distracted driving is a major source of crashes in the U.S. and Maryland. As part of this study, which uses driving simulators and eye-tracking software to study the effects of distracted driving, an educational video was produced to illustrate the dangers of distracted driving.
This study established that at each AV penetration level, there exists a set of optimal behavioral mechanisms for the AV flows to coordinate with non-AV flows to best use the roads and reduce congestion.
This project develops general-purpose methods for optimizing the selection, sequencing, and scheduling of interrelated improvement projects in transportation networks, with special emphasis on relatively dense urban networks.
Using the results of a survey of 573 people, this study identified user-generated data-driven indicators with statistical significance for developing a novel food desert metric using CHAID decision trees.