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Technical University of Munich

Alexander Schöckel

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M.Sc. Alexander Schöckel

Research Focus

  • AI-based, multimodal traffic state estimation

Curriculum Vitae

Work experience

since 2021Technical University of Munich
Chair of Traffic Engineering and Control
Researcher
2019 - 2021Landeshauptstadt München
Baureferat, Mobilitätsreferat
Project manager street planning
2018 - 2019Obermeyer Planen+Beraten
Traffic Engineering and Control
Intership and working student position

Education

2020M.Sc. Civil Engineering
Fields of Study: Traffic Control and Transport Planning, Computation in Engineering, Road and Railway Construction
Technical University of Munich
2018B.Sc. Environmental Engineering
Technical University of Munich

Publications

  • Schöckel, Alexander; Kessler, Lisa; Bogenberger, Klaus: Bicycle queues at signalized intersections — A drone-based empirical analysis of headways, saturation flows, and time losses. Journal of Cycling and Micromobility Research 8, 2026, 100117 more…
  • Kutsch, Alexander; Kessler, Lisa; Bogenberger, Klaus: Analyzing Bicycle Riding Characteristics Based on Naturalistic Urban Drone Observations: Free Riding, Following Behavior, and Overtaking Maneuvers. Transportation Research Record: Journal of the Transportation Research Board, 2025 more…
  • Kutsch, A.; Margreiter, M.; Bogenberger, K.: TUMDOT–MUC: Data Collection and Processing of Multimodal Trajectories Collected by Aerial Drones. Data Science for Transportation 6:15, 2024 more…
  • Kutsch, Alexander; Kessler, Lisa; Steinmetz, Natalie; Bogenberger, Klaus: Dynamic Queue Length Estimation Based on Urban Drone Observations Using Machine Learning Approaches. 103rd Annual Meeting of the Transportation Research Board (TRB), 2024 more…
  • Kutsch, Alexander; Margreiter, Martin; Bogenberger, Klaus: Data Collection and Processing of Multimodal Trajectories Collected by Aerial Drones. 9th International Symposium on Transportation Data & Modelling (ISTDM2023), 2023 more…
  • Margreiter, Martin; Kutsch, Alexander; Bogenberger, Klaus: The Munich Large-Scale Drone Data Set Containing Pedestrian, Cyclist, Manually Driven and Automated Vehicle Trajectory. 27th World Road Congress, 2023 more…
  • Kutsch, Alexander; Loder, Allister; Tilg, Gabriel; Bogenberger, Klaus: Extended Urban Traffic State Estimation Using Different Sensor Strategies. Annual Meeting of the Transportation Research Board (TRB), 2023 more…
  • Kutsch, Alexander; Margreiter, Martin; Stueger, Philipp N.; Fehn, Fabian; Metzger, Barbara; Hamm, Lisa; Engelhardt, Roman; Ilic, Mario; Bogenberger, Klaus: TEMPUS - Test Field Munich - Pilot Test for Urban Automated Road Traffic. 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), IEEE, 2022 more…
  • Dahmen, Victoria; Loder, Allister; Tilg, Gabriel; Kutsch, Alexander; Bogenberger, Klaus: Traffic State Estimation with Loss Constraint. IEEE International Conference on Intelligent Transportation Systems, 2022 more…
  • Ilic, Mario; Sautter, Natalie; Margreiter, Martin; Loder, Allister; Kessler, Lisa; Kutsch, Alexander; Bogenberger, Klaus: Strategien urbaner Verkehrssteuerung in der DACH Region - Anforderungen an künftige Entwicklungen. KIVI Konsortialtreffen, 2021Ingolstadt, Deutschland more…

Supervised Theses

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