Thesis Supervision

The chair of Transportation Systems Engineering is mentoring students on a variety of topics that cover fields of transportation research. The following indicative topics summarise the domains of research the chair focuses on. Of course, shaping a topic based on a students idea and competences is encouraged. 

Indicative Open Thesis Topics

Big data and data analytics

• Demand calibration using opportunistic/big data
• Extracting trip attributes from opportunistic sources
• Extracting mobility information from Social Media data
• Data fusion for transportation modelling using opportunistic data

Optimization

• Redistributing metro demand to alleviate the effects of over capacity
• Modelling of dynamic van-pooling
• Optimisation-based transportation operations
• Optimisation-based multimodal freight operations

Modelling and Simulation

• From Traffic Analysis Zones to parking destinations: A choice modelling approach for the future zonal systems
• Redistributing metro demand to alleviate the effects of over capacity
• On-street Parking Modelling
• Data-driven pedestrian modelling
• Modelling of dynamic van-pooling
• Integrating emerging transport services into traffic simulation models (e.g. Uber)
• Calibration of traffic simulation models using disaggregate data
• Enhancing traffic simulation models with autonomous dynamic vanpooling capabilities
• Deep-learning techniques for short-term traffic forecasting
• Systematically exploring the properties of traffic simulation model calibration algorithms

Human Factors Modelling

• Factors affecting public transport users' satisfaction
• The impact of ICT technologies to Value-of-Time
• Factors influencing vehicle sharing systems adoption
• Adoption trajectories and impact assessment of Connected and Autonomous Vehicles

Safety

• Real-time collision prediction using imbalanced learning and highly disaggregate data • Time-series classification and prediction for real-time safety assessment • Integration of network-level and vehicle-level safety assessment for autonomous vehicles • Risk-averse motion planning for autonomous driving • Game-theoretic safety assessment of autonomous vehicles • Identification of dangerous driving behaviour using naturalistic driving data• Improving Time-to-Collision or similar metrics for autonomous vehicles' applications

Completed Thesis

  • 1
    Shahrom Hosseini Sohi: Data-driven time series demand forecasting of Car-Sharing services: The case study of DriveNow in Munich, Germany – TUM Transportation Systems MSc. Supervisors: Jeppe Rich (DTU), Tao Ma (TUM), C. Antoniou (TUM), 2018, mehr… BibTeX Volltext (mediaTUM)
  • 2
    Abdallah Abu-Aisha: Using Floating Car Data (FCD) to Infer Mobility Patterns – TUM Transportation Systems MSc. Supervisors: C. Antoniou, R. Harfouche, 2018, mehr… BibTeX Volltext (mediaTUM)
  • 3
    Christelle Al Haddad: Identifying the Factors Affecting the Use and Adoption of Urban Air Mobility – TUM Transportation Systems MSc. Supervisors: C. Antoniou (TUM), E. Chaniotakis (TUM), Anna Straubinger (Bauhaus Luftfahrt), 2018, mehr… BibTeX Volltext (mediaTUM)
  • 4
    Stanislav Timokhin: Predicting and measuring venue popularity using crowd-sourced and passive sensor data – TUM Transportation Systems MSc. TUM, Supervisors: C. Antoniou, 2018, mehr… BibTeX Volltext (mediaTUM)
  • 5
    David Bailey: Quantitative Cybersecurity Risk Management for Autonomous Vehicle Systems – TUM Transportation Systems MSc. Supervisors: E. Chaniotakis, C. Antoniou, 2018, mehr… BibTeX Volltext (mediaTUM)
  • 6
    Kunwar Muhammad: Factors Affecting the Shift to Autonomous Vehicles: A Safety Perspective Survey in Munich – TUM Transportation Systems MSc. Supervisors: C. Katrakazas, C. Antoniou, 2018, mehr… BibTeX Volltext (mediaTUM)
  • 7
    Fatemeh Fathisardehaee: Public Transport Users’ Satisfaction: Athens vs Munich. – TUM Transportation Systems MSc., Supervisors: C. Antoniou, E. Chaniotakis, 2018, mehr… BibTeX Volltext (mediaTUM)
  • 8
    Shun Su: An optimization model for reservation based autonomous car sharing routing problem. – TUM Transportation Systems MSc., Supervisors: E. Chaniotakis, C. Antoniou, 2018, mehr… BibTeX Volltext (mediaTUM)
  • 9
    Isaiah Olanrewaju Michael: A Robust Capacitated Vehicle Routing Model for Dangerous Goods Transportation in a Double Echelon Supply Chain Network; A case study of lead-acid auto battery transportation in Germany. – TUM Transportation Systems MSc., Supervisors: C. Antoniou, E. Chaniotakis, 2018, mehr… BibTeX
  • 10
    Moeid Qurashi: An Alternative Online Calibration Approach for Dynamic Traffic Assignment Systems. – TUM Transportation Systems MSc., Supervisors: C. Antoniou, T. Ma, E. Chaniotakis, 2018, mehr… BibTeX Volltext (mediaTUM)
  • 11
    Mengying Fu: Exploring Preferences for Transportation Modes in an Urban Air Mobility Environment: a Munich Case Study. Masterarbeit, 2018 mehr… BibTeX Volltext (mediaTUM)
  • 12
    David Durán Rodas: Identification of spatio-temporal factors affecting arrivals and departures of shared vehicles. – TUM Transportation Systems MSc. TUM, Supervisors: E. Chaniotakis, C. Antoniou, D. Eftymiou, 2017, mehr… BibTeX Volltext (mediaTUM)
  • 13
    Yiwei Zuo: Impact of Weather on Public Transport Users’ Satisfaction – TUM Civil Engineering MSc. TUM Supervisors: C. Antoniou, D. Efthymiou, E. Chaniotakis, 2017, mehr… BibTeX Volltext (mediaTUM)
  • 14
    Muzaffar Khamraev: Validating data-driven models at the network level – TUM Transportation Systems MSc. TUM, Supervisors: C. Antoniou, D. Efthymiou, 2017, mehr… BibTeX Volltext (mediaTUM)