- Erweiterung der Verfahren zur Wirksamkeitsanalyse von Netzbeeinflussungsanlagen – Projektnummer: FE 03.0584/2019. , Ed.: Bundesanstalt für Straßenwesen, 2023, more…
- Erprobung eines Cell Transmission Modells für die Verkehrsbeeinflussung in Fernstraßennetzen. Straßenverkehrstechnik Heft 10/2023, 2023, S. 681 more…
- Spatio-Temporal Prediction of Freeway Congestion Patterns Using Neural Networks -A Conceptual Approach. ISFO - 4th International Symposium on Freeway and Tollway Operations, Unpublished, 2023 more…
- Einsatz eines Cell-Transmission-Modells in der Verkehrssteuerung – Utilisation d'un modèle de transmission cellulaire dans le contrôle du trafic; Use of a cell transmission model in traffic control. , Ed.: Schweizerische Eidgenossenschaft, Bundesamt für Strassen, 2022, more…
- TEMPUS - Test Field Munich - Pilot Test for Urban Automated Road Traffic. 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), IEEE, 2022 more…
- Increasing Freeway Network Resilience by Advanced Congestion Pattern Analytics. PIARC XVI World Winter Service and Road Resilience Congress , 2022 more…
- Spatio-Temporal Prediction of Freeway Congestion Patterns using Discrete Choice Methods. Transportation Research Board Annual Meeting, 2022Transportation Research Board Annual Meeting more…
- Automatisierte Klassifikation verschiedener Stautypen. Heureka - Optimierung in Verkehr und Transport, FGSV 002/127, 2020 more…
- Congestion Hot Spot Identification using Automated Pattern Recognition. 2020 IEEE Intelligent Transportation Systems Conference (ITSC), IEEE, 2020 more…
- Spatiotemporal Traffic Speed Reconstruction from Travel Time Measurements Using Bluetooth Detection. 2019 IEEE Intelligent Transportation Systems Conference (ITSC), IEEE, 2019 more…
- Automated Classification of Different Congestion Types. 2019 IEEE Intelligent Transportation Systems Conference (ITSC), IEEE, 2019 more…
M.Eng. Barbara Metzger
- Office hours: nach Vereinbarung
- barbara.metzger@tum.de
Research Focus
- Traffic data analysis and congestion research (non-urban areas)
- Traffic detection and control (non-urban areas)
- Congestion predicition and avoidance (non-urban areas)
Teaching
-
Head of module "Intelligent Transport Systems" (since SoSe 2021)
-
Mentoring and Exercises in the lecture series "Traffic Control Extension" (since SoSe 2021)
Curriculum Vitae
Work experience | |
| since 2020 | Technical University of Munich Chair of Traffic Engineering and Control Researcher |
| 2018 - 2020 | University of the Federal Armed Forces Munich Chair of Intelligent Transportation Systems Researcher |
| 2015 | Audi AG, Ingolstadt Intern Field of work: simulation of airbag inflation |
Education | |
| 2018 | M.Eng. Lightweight Construction and Simulation |
| 2017 | B.Eng. Automotive and Commercial Vehicle Engineering |
Publications
Supervised Theses
- Investigation of Traffic Flow Stabilization Measures by Connected and Automated Vehicles. Study Project. Mentoring: Stüger, Kutsch, Metzger.
- Assessment of the effects of single vehicle data for traffic flow harmonization in the scope of V2X systems. Master Thesis. Start: 5.5.2023; End: 19.11.2023. Mentoring: Metzger, Margreiter. Abstract.
- Modeling and prediction of congestion patterns using deep learning. Master Thesis. Start: 17.5.2023; End: 16.11.2023. Mentoring: Metzger. Abstract.
- Simulative investigation of measures for shockwave damping on freeways. Master Thesis. Start: 16.5.2023; End: 16.11.2023. Mentoring: Metzger, Stüger, Kutsch. Abstract.
- Analysis of demand clusters of traffic flow on a freeway section using machine learning. Bachelor Thesis. Start: 15.5.2023; End: 15.10.2023. Mentoring: Metzger, Dr. Kessler. Abstract.
- Empirical assignment of congestion causes to congestion events. Master Thesis. Start: 17.5.2022; End: 17.11.2022. Mentoring: Dr. Kessler, Metzger. Abstract.
- Identifying Lane Congestion from non Lane Resolutive Data. Master Thesis. Start: 17.5.2022; End: 17.11.2022. Mentoring: Dr. Kessler, Metzger. Abstract.
- Traffic state and level of service estimation on major roads using the google traffic API. Master Thesis. Start: 28.2.2022; End: 28.9.2022. Mentoring: , Metzger. Abstract.
- Blue Lane - A contribution to the transportation revolution in local traffic?. Master Thesis. Start: 23.11.2021; End: 23.5.2022. Mentoring: , Metzger. Abstract.
- Evaluation of a field test for an integrated transport system for passengers and parcels. Bachelor Thesis. Start: 23.5.2022; End: 23.10.2022. Mentoring: Fehn, Metzger. Abstract.
- Literature Review and Data Analysis in the Field of Lane Jam. Bachelor Thesis. Start: 1.5.2022; End: 26.9.2022. Mentoring: Dr. Kessler, Metzger. Abstract.
- International Literature Review on Congestion Mitigation Methods. Bachelor Thesis. Start: 7.10.2021; End: 25.2.2022. Mentoring: Metzger, Kessler. Abstract.
- Investigation of the seasonality of congestion events. Master Thesis. Start: 1.5.2021; End: 31.10.2021. Mentoring: Kessler, Metzger. Abstract.
- Literature review on long-term and short-term predictability of congestion for expressways (non urban). Bachelor Thesis. Start: 10.5.2021; End: 5.10.2021. Mentoring: Metzger. Abstract.
- Literature research to define and calculate various costs of transport (Traffic jam costs). Bachelor Thesis. Start: 7.4.2021; End: 7.9.2021. Mentoring: Metzger, Dr. Spangler. Abstract.
- Elaboration of country-specific differences in the characteristics of "expressways". Bachelor Thesis. Start: 5.4.2021; End: 5.9.2021. Mentoring: Metzger. Abstract.
- From Bus lane to Managed Lane – Literature Review on the state of the art of Managed Lanes. Bachelor Thesis. Start: 1.6.2021; End: 27.8.2021. Mentoring: , Metzger. Abstract.
- Literature research on spatio-temporal congestion patterns in road networks. Bachelor Thesis. Start: 8.6.2020; End: 20.12.2020. Mentoring: Metzger. Abstract.
- Modeling of a part of the highway network in the north of Munich with ptv VISSIM. Study Project. Mentoring: , Metzger.
- Conception and implementation of an online survey with the question “What is congestion/traffic jam?”. Study Project. Mentoring: Metzger, Margreiter.
- The search for predictability and correlations between traffic-data based congestion and incident characteristics. Master Thesis. Start: 15.4.2020; End: 8.12.2020. Mentoring: Dr. Spangler, Metzger. Abstract.
- Describing and Detecting Congestion Objects using different Sources of Traffic Data. Master Thesis. Start: 9.3.2020; End: 8.9.2020. Mentoring: Dr. Spangler, Metzger. Abstract.
- Statistic congestion analysis tool – definition of key values and creation of database requests routines. Study Project. Mentoring: Dr. Spangler, Metzger.