53 citations · 53 across the 3 of their papers we have counts for
3 papers
eess.SY2022★ 53 cited
Energy-Efficient Driving in Connected Corridors via Minimum Principle Control: Vehicle-in-the-Loop Experimental Verification in Mixed Fleets
Tyler Ard, Longxiang Guo, Jihun Han +3
Connected and automated vehicles (CAVs) can plan and actuate control that explicitly considers performance, system safety, and actuation constraints in a manner more efficient than…
eess.SY2021
Adaptive Optimization of Autonomous Vehicle Computational Resources for Performance and Energy Improvement
Saurabh Jambotkar, Longxiang Guo, Yunyi Jia
Autonomous vehicles usually consume a large amount of computational power for their operations, especially for the tasks of sensing and perception with artificial intelligence algo…
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…