Evaluating Connected Vehicle Applications in a Mixed Traffic Environment using a "Digital Twin" Approach
Connected Eco-Driving for Heavy-Duty Conventional and Plug-In Hybrid Electric Trucks
We develop the connected eco-driving algorithms and other supporting tools for both conventional trucks and PHEV trucks. The algorithms will use signal phase and timing (SPaT) information from the traffic signals on the truck route along with the information about the current position of the vehicle, the distance from the upcoming intersection, and if applicable, the distance from the preceding vehicle to determine the best course of action for passing through the intersections.
Traffic Optimization for Signalized Corridors (TOSCo)
We develop the connected eco-driving algorithms and other supporting tools for both conventional trucks and PHEV trucks. The algorithms will use signal phase and timing (SPaT) information from the traffic signals on the truck route along with the information about the current position of the vehicle, the distance from the upcoming intersection, and if applicable, the distance from the preceding vehicle to determine the best course of action for passing through the intersections.
Development of Eco-Friendly Ramp Control Based on Connected and Automated Vehicle Technology
We develop a hierarchical ramp merging control strategy to reduce overall freeway congestion, and evaluate the mobility and environmental impacts of the proposed strategy by PTV VISSIM.
An Innovative Vehicle-Powertrain Eco-Operation System for Efficient Plug-In Hybrid Electric Buses
We design, develop, and test an innovative vehicle-powertrain eco-operation system for natural-gas-fueled plug-in hybrid electric buses. Since stop-and-go operation wastes a large amount of energy, we will adopt Eco-Approach and Departure at traffic signals, together with efficient adaptive cruise, and optimized stopping and accelerating from stop signs and bus stops. Optimizing these maneuvers for an urban transit bus presents significant opportunities for improving energy efficiency. Additionally, we will use look-ahead information on traffic and road grade to optimize the powertrain operation by managing combustion engine output, electric motor output and battery state of charge in this hybrid application.
