- Detection Rate of Congestion Patterns Comparing Multiple Traffic Sensor Technologies. IEEE Open Journal of Intelligent Transportation Systems 5, 2024, 29-40 more…
- Dynamic Queue Length Estimation Based on Urban Drone Observations Using Machine Learning Approaches. 103rd Annual Meeting of the Transportation Research Board (TRB), 2024 more…
- Lane-Based Traffic State Estimation on Freeways Using Empirical Automated Vehicle Data. 103rd Annual Meeting of the Transportation Research Board (TRB), 2024 more…
- A Multimodal Performance Index for the Evaluation of Urban Traffic Control Measures. 2023 8th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), IEEE, 2023 more…
- Simulatorgestützte Mikromobilitätsforschung. Abschlusssymposium des Forschungsprojekts CapeReviso, 2023 more…
- How does the used vehicle influence the performed maneuver? - Insights from an Active Mobility Tracking Experiment on a Test Field. Proceedings of the ICA, 2023 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 ISFO - 4th International Symposium on Freeway and Tollway Operations, Unpublished, 2023 more…
- User Acceptance of Urban Cargo Bicycles. 7th Annual Meeting of the Cycling Research Boarding, 2023 more…
- Detection Rate of Congestion Patterns Comparing Multiple Traffic Sensor Technologies. 101st Annual Meeting of the Transportation Research Board (TRB), 2022 more…
- On the Perception of Traffic Stress -- a Controlled Experiment with Pedestrians and Bicyclists. 16th International Conference on Travel Behaviour Research, 2022 more…
- Multimodal Performance Evaluation of Urban Traffic Control: A Microscopic Simulation Study. 4th Symposium on Management of Future Motorway and Urban Traffic Systems 2022 (MFTS2022), 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…
- A Virtual Reality Electric Cargo Bicycle Simulator for Experiencing Realistic Traffic Scenarios. DSC 2022 Europe VR, 2022 more…
- On the Level of Traffic Stress for Pedestrians. Proceedings of the 10th symposium of the European Association for Research in Transportation (hEART), 2022 more…
- Strategies for Detection of Congestion Patterns Using Multiple Sensor Technologies. Dissertation, 2021 more…
- Multi-Sensor Data Fusion for Accurate Traffic Speed and Travel Time Reconstruction. Frontiers in Future Transportation 2, 2021 more…
- Movement Patterns of Electric Cargo Bike Commuters – First Insights from Field Experiments and Trajectory Analyses. Proceedings of the ICA 4, 2021, 1-4 more…
- Multi-Sensor Data Fusion for Accurate Traffic Speed and Travel Time Reconstruction. Annual Meeting of the Transportation Research Board, 2021 more…
- Strategien urbaner Verkehrssteuerung in der DACH Region - Anforderungen an künftige Entwicklungen. KIVI Konsortialtreffen, 2021Ingolstadt, Deutschland 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…
- Dynamic traffic information for electric vehicles as a basis for energy-efficient routing. Transportation Research Procedia 37, 2019, 457-464 more…
- Verkehrslagerekonstruktion basierend auf der Fusion unterschiedlicher Datenerfassungstechnologien. Universitätstagung Verkehrswesen, 2019 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…
- Comparing Speed Data from Stationary Detectors Against Floating-Car Data. IFAC-PapersOnLine 51 (9), 2018, 299-304 more…
- Comparison of Floating-Car Based Speed Data With Stationary Detector Data. 97th Annual Meeting of the Transportation Research Board (TRB), 2018 more…
- Dynamic Traffic Information for Electric Vehicles as a Basis for Energy-Efficient Routing. mobil.TUM 2018 - Urban Mobility - Shaping the Future Together, 2018 more…
- Fusing probe speed and flow data for robust short-term congestion front forecasts. 2017 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), IEEE, 2017 more…
- Mobility patterns and charging behavior of BMW i3 customers. 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC), IEEE, 2016 more…
- Forecast of the Energy Consumption of BEV Based on Dynamic Traffic Information. mobil.TUM 2015 - International Scientific Conference on Mobility and Transport Technologies, Solutions and Perspectives for Intelligent Transport Systems, 2015 more…
Dr.-Ing. Lisa Kessler
- Fax: fax +49 89 289 22333
- Office hours: nach Vereinbarung
- lisa.kessler@tum.de
Research Focus
- Traffic data analysis and congestion research
- Dynamic traffic information
- Traffic detection and control
- Energy consumption of electric vehicles
-
Bicycle traffic and bicycle network planning
Teaching
- Head of module „Traffic Management“
- Exercises in „Traffic Control Basics"
- Head of module „Basics in Traffic Engineering“
- Head of module „Advancements in Traffic Engineering“
- Organization and head of lecture series „Doctoral Seminar Traffic Engineering and Control“
Curriculum Vitae
Work experience | |
| since 2020 | Technical University of Munich Chair of Traffic Engineering and Control Researcher |
| 2014 - 2019 | University of the Federal Armed Forces Munich Chair of Intelligent Transportation Systems Researcher |
| 2012 - 2014 | Logivations GmbH Optimization consultant |
| 2010 | DB Schenker Intern Field of work: Operational management |
Education | |
| 2021 | PhD in Engineering (Dr.-Ing.) |
| 2006 - 2011 | Diploma in Mathematics |
| 2009 | Exchange semester |
Publications
Supervised Theses
- 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.
- Demand Generation and Calibration for Microscopic Traffic Simulation using OD Matrices. Master Thesis. Start: 27.9.2022; End: 21.4.2023. Mentoring: Sautter, Dr. Kessler. 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.
- Realistic Estimation of Bicycle Traffic Demand for Microscopic Simulations. Bachelor Thesis. Start: 8.5.2023; End: 8.10.2023. Mentoring: Dr. Kessler, Steinmetz. Abstract.
- Identification of factors affecting bicycle mode choice. Bachelor Thesis. Start: 4.4.2023; End: 4.9.2023. Mentoring: Dahmen, Dr. Kessler. Abstract.
- Literature review and user-specific requirement analysis of mobility-impaired groups in urban traffic scenarios. Bachelor Thesis. Start: 21.11.2022; End: 21.4.2023. Mentoring: Lindner, Dr. Kessler. Abstract.
- Requirement identification and scenario definition for mobility-impaired road user groups in urban traffic. Bachelor Thesis. Start: 1.11.2022; End: 1.4.2023. Mentoring: Lindner, Ilic, Dr. Kessler. Abstract.
- Literature review on causes, detection and prevention methods of simulator sickness. Bachelor Thesis. Start: 1.11.2023; End: 1.4.2023. Mentoring: Lindner, Dr. Kessler. Abstract.
- Literature Review on Bicycle Traffic Flow Theory. Bachelor Thesis. Start: 27.10.2022; End: 27.3.2023. Mentoring: Malcolm, Dr. Kessler. Abstract.
- Microscopic Simulation Studies for the Assessment of Urban Traffic Control based on a Multimodal Performance Index. Study Project. Mentoring: Sautter, Dr. Kessler.
- Identification and categorization of 'edge cases' for geo-based speed adaptiation of S-Pedelecs. Master Thesis. Start: 16.5.2022; End: 5.12.2022. Mentoring: , 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.
- Learning rough road conditions from the fleet sensor data. Master Thesis. Start: 1.4.2022; End: 29.9.2022. Mentoring: Dr. Kessler, Dr. Spangler. Abstract.
- Filter Algorithms for Low-Resolution Travel Time Data. Master Thesis. Start: 15.7.2021; End: 15.1.2022. Mentoring: Dr. Kessler, Dr. Spangler. 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.
- Development of evaluation criteria for existing urban traffic control systems. Bachelor Thesis. Start: 9.12.2021; End: 9.5.2022. Mentoring: Sautter, Dr. Kessler. 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.