2 papers
eess.SY2025
Processing and Analyzing Real-World Driving Data: Insights on Trips, Scenarios, and Human Driving Behaviors
Jihun Han, Dominik Karbowski, Ayman Moawad +5
Analyzing large volumes of real-world driving data is essential for providing meaningful and reliable insights into real-world trips, scenarios, and human driving behaviors. To thi…
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…