3 papers
eess.SY2024
Energy Efficient Automated Driving as a GNEP: Vehicle-in-the-loop Experiments
Viranjan Bhattacharyya, Tyler Ard, Rongyao Wang +3
In this paper, a multi-agent motion planning problem is studied aiming to minimize energy consumption of connected automated vehicles (CAVs) in lane change scenarios. We model this…
eess.SY2020
Energy and Flow Effects of Optimal Automated Driving in Mixed Traffic: Vehicle-in-the-Loop Experimental Results
Tyler Ard, Longxiang Guo, Robert Austin Dollar +5
This paper experimentally demonstrates the effectiveness of an anticipative car-following algorithm in reducing energy use of gasoline engine and electric Connected and Automated V…
eess.SY2019
Microsimulation of Energy and Flow Effects from Optimal Automated Driving in Mixed Traffic
Tyler Ard, Robert Austin Dollar, Ardalan Vahidi +2
This paper studies the energy and traffic impact of a proposed Anticipative Cruise Controller in a PTV VISSIM microsimulation environment. We dissect our controller into two parts:…