Wanrong Hu
Forecasting crowding pattern evolution at subway stations using opportunistic data
Masterarbeit
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

Mölter, Jan;Ji, Joanna;Lienkamp, Benedikt;Zhang, Qin;Moreno, Ana Tsui;Schiffer, Maximilian;Moeckel, Rolf;Kuehn, Christian
Public transport across models and scales: A case study of the munich network
PNAS Nexus
2024

Rosenberger, Nico;Rosner, Philipp;Bilfinger, Philip;Schöberl, Jan;Teichert, Olaf;Schneider, Jakob;Abo Gamra, Kareem;Allgäuer, Christian;Dietermann, Brian;Schreiber, Markus;Ank, Manuel;Kröger, Thomas;Köhler, Alexander;Lienkamp, Markus
Quantifying the State of the Art of Electric Powertrains in Battery Electric Vehicles: Comprehensive Analysis of the Tesla Model 3 on the Vehicle Level
World Electric Vehicle Journal
2024
15
6
268

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