Ilic, Mario; Pechinger, Mathias; Niels, Tanja; Nexhipi, Evald; Bogenberger, Klaus
An Open-Source Framework for Evaluating Cooperative Perception in Urban Areas
Transportation Research Board - 105th Annual Meeting
2025

Margreiter, Martin; Ilic, Mario; Joshi, Abhay
Introduction of the Experimental Twin for Real-World Testing of CAVs at the Mobility Innovation Campus
Transportation Research Board - 105th Annual Meeting
2025

Narayanan, Santhanakrishnan;Álvarez-Ossorio Martinez, Santiago;Antoniou, Constantinos
Household car-ownership in a world of constant change: The continued influence of traditional variables and the rising influence of emerging mobility scenarios
Transportation
2024

Kutsch, Alexander;Margreiter, Martin;Bogenberger, Klaus
TUMDOT–MUC: Data Collection and Processing of Multimodal Trajectories Collected by Aerial Drones
Data Science for Transportation
2024
6
2

Metzger, Barbara; Kessler, Lisa; Kolb, Maximilian; Bogenberger, Klaus
Spatio-Temporal Prediction of Freeway Congestion Patterns Using Neural Networks
104th Annual Meeting of the Transportation Research Board (TRB)
2025

Kessler, Lisa; Keler, Andreas; Bogenberger, Klaus
Aspects for User Group-specific Bicycle Network Planning to Increase Active Mobility Users’ Acceptance
26th Euro Working Group on Transportation Meeting (EWGT 2024)
2024

Lippoldt, Katrin; Maget, Christoph; Kessler, Lisa, Bogenberger, Klaus
Enhancing Accessibility in Rural Areas through Advanced Air Mobility
26th Euro Working Group on Transportation Meeting (EWGT 2024)
2024

Takayasu, Anna; Stöcker, Fabian; Stadler, Waltraud; Kessler, Lisa; Bogenberger, Klaus
Analyzing Cyclist Stress in Traffic Through Data Fusion
Cycling Research Board
2024

Natterer, Elena;Engelhardt, Roman;Hörl, Sebastian;Bogenberger, Klaus
Graph Neural Network Approach to Predict the Effects of Road Capacity Reduction Policies: A Case Study for Paris, France
arXiv
2024

Engelhardt, Roman; Mahmassani, Hani S.; Bogenberger, Klaus
Vorhersagebasierte Fahrzeugrepositionierung für On-Demand-Ride-Pooling-Dienste
Straßenverkehrstechnik
2024
06
467-474