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Technical University of Munich

Alexander Kutsch

Picture of Alexander Kutsch

M.Sc. Alexander Kutsch

Research Focus

  • AI-based, multimodal traffic state estimation

Curriculum Vitae

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

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

Publications

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

  • Emehrer, Johanna: Exploring Graph-based Navigation Meshes for Modelling Cyclist Behavior in Urban Environments.
    Bachelor Thesis. Start: 2.4.2024; End: 2.9.2024. Mentoring: Lindner, Kutsch, Dr. Pechinger. Abstract.
  • Schäffner, Peter: Investigation of Traffic Flow Stabilization Measures by Connected and Automated Vehicles.
    Study Project. Mentoring: Stüger, Kutsch, Metzger.
  • Sultani, Murtaza: Simulative investigation of measures for shockwave damping on freeways.
    Master Thesis. Start: 16.5.2023; End: 16.11.2023. Mentoring: Metzger, Stüger, Kutsch. Abstract.
  • Chan, Cheuk Yin: Application of Physics-Informed Deep Learning for Traf-fic State Estimation.
    Master Thesis. Start: 15.5.2023; End: 15.11.2023. Mentoring: Kutsch, Dr. Loder. Abstract.
  • Dar, Nouman: Estimation of the Characteristics of Highway Infrastructure Using Drone Data.
    Master Thesis. Start: 8.5.2023; End: 8.11.2023. Mentoring: Zhang, Kutsch. Abstract.
  • Zhu, Chenxin: Behavioral models of the interaction between non-motorized and motorized road users - focus on automated vehicles.
    Master Thesis. Start: 1.1.2023; End: 1.8.2023. Mentoring: Kutsch, Stüger, Ilic. Abstract.
  • Zubair, Mohammed: Automatic Detection of Traffic Streams with Machine Vision.
    Master Thesis. Start: 31.1.2023; End: 31.7.2023. Mentoring: Dr. Spangler, Kutsch. Abstract.
  • Faizi, Asadullah: Visualization of traffic demand based on inductive loop data.
    Study Project. Mentoring: Sautter, Kutsch.
  • Xia, Yujie: Development and Application of an Evaluation Tool for Data Quality Assessment of different Sensor Systems.
    Master Thesis. Start: 15.5.2022; End: 24.10.2022. Mentoring: Ilic, Kutsch. Abstract.
  • Cheong, Pui: Bottleneck identification with machine learning using large-scale drone data.
    Master Thesis. Start: 18.10.2021; End: 25.4.2022. Mentoring: Dr. Loder, Kutsch. Abstract.
  • Zelder, Luisa: Calibration of microscopic traffic simulations in „Aimsun Next“ with a focus on connected and automated vehicles.
    Bachelor Thesis. Start: 17.6.2022; End: 24.11.2022. Mentoring: Stüger, Kutsch. Abstract.
  • Tummel, Sonja: Expert interviews and user survey on the sustainable design of passenger transport as well as urban logistics by means of transport bicycles.
    Bachelor Thesis. Start: 15.11.2021; End: 15.4.2022. Mentoring: Fehn, Kutsch. Abstract.
  • Stangl, Julia: Literature review on positive and negative impacts of vehicle platooning.
    Bachelor Thesis. Start: 20.9.2021; End: 1.2.2022. Mentoring: Kutsch, Margreiter. Abstract.
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