Accurate physics-based modeling of electric vehicle energy consumption in the SUMO traffic microsimulator. - Lucas Koch; Dominik S. Buse; Marius Wegener; Sven Schoenberg; Kevin Badalian; Falko Dressler; Jakob Andert (ITSC, 2021)

Toward Smart Vehicle-to-Everything-Connected Powertrains: Driving Real Component Test Benches in a Fully Interactive Virtual Smart City. - Markus Eisenbarth; Marius Wegener; Rene Scheer; Jakob Andert; Dominik S. Buse; Florian Klingler; Christoph Sommer 001; Falko Dressler; Peter Reinold; Rafael Gries (IEEE Veh. Technol. Mag., 2021)

Transfer of Reinforcement Learning-Based Controllers from Model- to Hardware-in-the-Loop. - Mario Picerno; Lucas Koch; Kevin Badalian; Marius Wegener; Joschka Schaub; Charles Robert Koch; Jakob Andert (CoRR, 2023)

Longitudinal Vehicle Motion Prediction in Urban Settings With Traffic Light Interaction. - Marius Wegener; Florian Herrmann; Lucas Koch; Rene Savelsberg; Jakob Andert (IEEE Trans. Intell. Veh., 2023)

Adaptive Traffic Light Control With Deep Reinforcement Learning: An Evaluation of Traffic Flow and Energy Consumption. - Lucas Koch; Tobias Brinkmann; Marius Wegener; Kevin Badalian; Jakob Andert (IEEE Trans. Intell. Transp. Syst., 2023)

LExCI: A framework for reinforcement learning with embedded systems. - Kevin Badalian; Lucas Koch; Tobias Brinkmann; Mario Picerno; Marius Wegener; Sung-Yong Lee; Jakob Andert (Appl. Intell., 2024)

Transfer of Reinforcement Learning-Based Powertrain Controllers From Model- to Hardware-in-the-Loop. - Mario Picerno; Lucas Koch; Kevin Badalian; Marius Wegener; Joschka Schaub; Charles Robert Koch; Jakob Andert (IEEE Trans. Veh. Technol., 2025)