Victoria Dahmen

Research Focus

 Bicycle traffic and networks

Curriculum Vitae

Work experience

since 2022 Technical University of Munich
Chair of Traffic Engineering and Control

Researcher

2021 - 2022

Siemens Mobility GmbH
Shared Autonomous Mobility: System Engineering, Testing & Validation.
Working Student

2020 - 2021 Technical University of Munich
Chair of Scientific Computing in Computer Science
Research Assistant

Education

2022

M.Sc. in Computational Science and Engineering
Thesis: Methods for multimodal traffic state estimation to identify the optimal sensor distribution in urban road networks
Technical University of Munich

2018

B.Eng. (hons) in Civil Engineering
University of Bath, UK

Publications

  • Dahmen, Victoria; Weikl, Simone; Bogenberger, Klaus: Interpretable Machine Learning for Mode Choice Modeling on Tracking-Based Revealed Preference Data. Transportation Research Record: Journal of the Transportation Research Board, 2024 more…
  • Dahmen, Victoria; Weikl, Simone; Bogenberger, Klaus: Interpretable Machine Learning for Mode Choice Modeling on Tracking-Based Revealed Preference Data. Transportation Research Board Annual Meeting, 2024 more…
  • Dahmen, Victoria; Martinez, Santiago Álvarez-Ossorio; Loder, Allister; Bogenberger, Klaus: Making Large-Scale Semi-Passive GPS Travel Diaries Valuable: a Quality Enhancement Method. Transportation Research Board Annual Meeting, 2024 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…

Supervised Theses

  • Contin Dorigan, Beatriz: Creation of a Mobility Data Curation Dashboard. Bachelor Thesis. Start: 4.1.2024; End: 4.6.2024. Mentoring: Alvarez, Dahmen. Abstract.
  • Garcia, Walter: Classification of cyclist types. Master Thesis. Start: 20.6.2023; End: 20.12.2023. Mentoring: Dahmen, Dr. Takayasu. Abstract.
  • Krumbacher, Helena: Route Choice Behavior of Bicyclists based on Objective and Subjective Data Analyses. Master Thesis. Start: 1.6.2023; End: 1.12.2023. Mentoring: Dr. Kessler, Dahmen. Abstract.
  • Thun, Felix: Development of a Map Matching Algorithm for Bicycle Trajectories. Master Thesis. Start: 7.11.2022; End: 7.5.2023. Mentoring: Dahmen, Dr. Weikl, Dr. Loder. Abstract.
  • Stock, Felix: Visualization of mobility data. Bachelor Thesis. Start: 19.7.2023; End: 19.12.2023. Mentoring: Dahmen, Alvarez. Abstract.
  • Brenner, Moritz: Identification of factors affecting bicycle mode choice. Bachelor Thesis. Start: 4.4.2023; End: 4.9.2023. Mentoring: Dahmen, Dr. Kessler. Abstract.
  • Block, Senta: Literature review of cycling route choice models. Bachelor Thesis. Start: 21.11.2022; End: 21.4.2023. Mentoring: Dahmen, Dr. Weikl. Abstract.