Using Neural Networks for Data-Driven Backchannel Prediction: A Survey on Input Features and Training Techniques. - Markus Müller 001; David Leuschner; Lars Briem; Maria Schmidt; Kevin Kilgour; Sebastian Stüker; Alex Waibel (HCI (2), 2015)

Efficient Traffic Assignment for Public Transit Networks. - Lars Briem; H. Sebastian Buck; Holger Ebhart; Nicolai Mallig; Ben Strasser; Peter Vortisch; Dorothea Wagner; Tobias Zündorf (SEA, 2017)

Creating an integrated agent-based travel demand model by combining mobiTopp and MATSim. - Lars Briem; Nicolai Mallig; Peter Vortisch (ANT/EDI40, 2019)

Integrating public transport into mobiTopp. - Lars Briem; H. Sebastian Buck; Nicolai Mallig; Peter Vortisch; Ben Strasser; Dorothea Wagner; Tobias Zündorf (Future Gener. Comput. Syst., 2020)

Integrating Urban Last-Mile Package Deliveries into an Agent-Based Travel Demand Model. - Anna Reiffer; Jelle Kübler; Lars Briem; Martin Kagerbauer; Peter Vortisch (ANT/EDI40, 2021)

Modeling intermodal travel behavior in an agent-based travel demand model. - Tim Wörle; Lars Briem; Michael Heilig; Martin Kagerbauer; Peter Vortisch (ANT/EDI40, 2021)

Integrating Neighbours into an Agent-Based Travel Demand Model to Analyse Success Rates of Parcel Deliveries. - Jelle Kübler; Anna Reiffer; Lars Briem; Peter Vortisch (ANT/EDI40, 2022)

Dynamics and Processes in Operations Control Centers in Urban Public Transport: Potentials for Improvement. - Frederik R. Bachmann; Lars Briem; Fritz Busch; Peter Vortisch (IEEE Trans. Intell. Transp. Syst., 2022)