Pyxis/Technische Universität München/Master Bauingenieurwesen/Mikroskopische Verkehrssimulation - Kalibrierung und dynamische Anwendungen

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Areas of Specialization–

Four specialization subjects, or three specialization subjects plus a personalized specialization subject; each specialization subject requires 12 mandatory and at least 6 elective credits, the personalized specialization subject 12 mandatory and 9 elective credits.

Master's Thesis–Supplementary Courses–

Catalogue of Elective Modules–

9 credits if the personalized specialization subject is chosen, otherwise 12 credits from this catalogue.

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Mikroskopische Verkehrssimulation - Kalibrierung und dynamische Anwendungen

ED150002Areas of Specialization6 ECTSEnglishwinter semesterLehrstuhl für Vernetzte Verkehrssysteme (Prof. Antoniou)

AI-edited module sheet. Based on the TUMonline module description, edited for readability.Original in TUMonline

What it is about

You will learn how to develop advanced traffic control algorithms, integrate them into microscopic traffic simulators (e.g., SUMO), and systematically calibrate and validate simulations. In the end you will be able to integrate your own algorithms via programming interfaces, evaluate simulations, and visualize and interpret results in a proper, sachgerecht manner.

What you will be able to do

Integration of user-defined algorithms into traffic simulators (e.g., SUMO) through programming (e.g., Python)
Knowledge of the model components and functionalities of SUMO and their application
Development and implementation of advanced traffic control algorithms
Selection of appropriate calibration and validation procedures for given datasets and questions
Understanding the theory behind the main methods of calibration and validation (purpose, assumptions, limits)
Application of systematic calibration and validation methods
Evaluation, visualization, and interpretation of simulation results

What the module consists of

Seminar / LectureDelivery of the theoretical foundations for integration, calibration, and traffic control
Interactive teaching sessions / exercisesImplementation of what has been learned in practical modeling tasks and programming sessions
Project work (semester-long)Main assessment: practical application and implementation in a larger modeling project

Teaching method

Lecture presentationsDelivery of the theoretical content
Python programming sessionsPractical implementation and integration of algorithms into simulators
Discussions and exchanges with supervisorsSupport for the project work and deepened understanding
Provided software and datasetsEnable independent project work with realistic tasks

What you should already know

Modeling and Control of Traffic Flow (BGU56045) or Traffic Management (BV560024)
Familiarity with scripting languages (e.g., Python)recommended
Fundamentals of traffic modeling (Four-step model)recommended

Assessment

Project workReportPresentation

The module examination consists of a semester-long project work. You work primarily independently in groups of two (in exceptional cases three). Required are a written project report (maximum 36 pages, including result visualizations) and a presentation (maximum 15 minutes including discussion). The grade distribution is 80% for the written report and 20% for the presentation. In the work you must present implementation, model assumptions, and results; understanding of the theory can also be assessed.

Reading list

Antoniou, C. et al. (2014) - Traffic Simulation: Case for Guidelines. JRC Scientific and Technical Research Report, EUR 26534 EN.
Antoniou, C., Barceló, J., Breen, M., et al. (2016) - Towards a generic benchmarking platform for origin-destination flows estimation/updating algorithms. Transportation Research Part C, 66, 79-98.
Barceló, J. (Ed.) (2010) - Fundamentals of traffic simulation. Springer.
Buisson, C., Daamen, W., Punzo, V., Wagner, P., Montanino, M., Ciuffo, B. (2014) - Calibration and validation principles.
Bungartz, H. J., Zimmer, S., Buchholz, M., Pflüger, D. (2009) - Modellbildung und Simulation: eine anwendungsorientierte Einführung. Springer-Verlag.
Daamen, W., Buisson, C., Hoogendoorn, S. P. (Eds.) (2014) - Traffic Simulation and Data: Validation Methods and Applications. CRC Press.
Forschungsgesellschaft für Straßen-, Verkehrswesen (2006) - Hinweise zur mikroskopischen Verkehrsflusssimulation: Grundlagen und Anwendung. FGSV Verlag.
Lopez, P. A., Behrisch, M., Bieker-Walz, L., et al. (2018) - Microscopic traffic simulation using SUMO. ITSC 2018.
Spall, J. C. (2003) - Introduction to Stochastic Search and Optimization: Estimation, Simulation, and Control.
Wiedemann, R. (1994) - Simulation des straßenverkehrsflusses. Institute for Transportation Science, University of Karlsruhe.

Dates

PTSpecial Topics on Model Calibration

Tue11:30–13:00
2601, Übungsraum (0506.02.601)
15× · 13.10.–02.02.
- 13.10.
- 20.10.
- 27.10.
- 03.11.
- 10.11.
- 17.11.
- 24.11.
- 01.12.
- 08.12.
- 15.12.
- 22.12.
- 12.01.
- 19.01.
- 26.01.
- 02.02.

SeminarVerkehrsflusssimulation-Vertiefung

Thu13:15–15:45
2601, Übungsraum (0506.02.601)
14× · 15.10.–04.02.
- 15.10.
- 22.10.
- 29.10.
- 05.11.
- 12.11.
- 19.11.
- 26.11.
- 10.12.
- 17.12.
- 07.01.
- 14.01.
- 21.01.
- 28.01.
- 04.02.

From the current semester, not binding.

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