Thesis Supervision

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

Open thesis topics:

  • Exploring on-street parking modelling within a microscopic traffic simulation. Mentoring: S. Gomari
  • Estimating on-street parking pressure using data from vehicles - a machine learning approach. Mentoring: S. Gomari
  • Investigation of the effect of autonomous vehicles in mixed traffic conditions. Mentoring: P. Papantoniou
  • Simulation-based scenarios development and assessment to quantify the impacts of dynamic vanpooling with different service attributes for Munich city. Mentoring: M. Qurashi
  • Incorporating passenger preference models within the modeling platform of dynamic vanpooling services in SUMO. Mentoring: M. Qurashi,  C. Al Haddad
  • Developing a bi-level methodology to calibrate both supply and demand models of a Dynamic Traffic Assignment (DTA) model using PC-SPSA. Mentoring: M. Qurashi
  • Incorporating network information within PC-SPSA for OD demand estimation of Dynamic Traffic Assignment (DTA) models. Mentoring: M. Qurashi
  • An investigation of driver-pedestrian communications for development of external human-machine interfaces (e-HMI). Mentoring: R. Ezzati Amini
  • Investigating the vehicle-pedestrian interactions at unsignalized intersections to support the development of a microscopic agent-based tool for simulating pedestrian behaviours. Mentoring: R. Ezzati Amini

Indicative 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

2019

  • Alexander Durner: Development of a smartphone application for optimizing the accessibility of Munich Airport – TUM Transportation Systems MSc. Supervisors: C. Antoniou, E. Chaniotakis, 2019, mehr… BibTeX
  • Ariful Hoque Shaon: Identification of Dangerous Driving Behaviour Using Naturalistic Driving Data – TUM Transportation Systems MSc. Supervisors: C. Katrakazas, 2019, mehr… BibTeX Volltext (mediaTUM)
  • Artem Kholodkov: Deep learning techniques for short-term traffic forecasts – TUM Transportation Systems MSc. Supervisors: T. Ma, C. Antoniou , 2019, mehr… BibTeX Volltext (mediaTUM)
  • Bhagya Shrithi Grandhi: Predictive Modelling using Machine Learning Techniques for Railway incident based parametersDenmark Railways. Supervisors: E. Chaniotakis, C. Antoniou , 2019, mehr… BibTeX Volltext (mediaTUM)
  • David Gackstetter: Anticipatory Fleet Redistribution Using Multi-Agent Deep Reinforcement Learning – TUM Transportation Systems MSc. Supervisors: C. Antoniou, E. Chaniotakis, 2019, mehr… BibTeX
  • Ioannis Miaris: Combining VRP Routes to Reduce Costs with a Set Covering Linear Programming Approach for Own Fleet Operation – TUM Transportation Systems MSc. Supervisors: C. Antoniou, E. Chaniotakis, 2019, mehr… BibTeX
  • Konstantinos Tsiamasiotis: Stated Preference Survey Design to identify factors for using dynamic vanpooling – TUM Transportation Systems MSc. Supervisors: C. Antoniou, E. Chaniotakis, 2019, mehr… BibTeX
  • Santhanakrishnan Narayanan: Review and modelling of shared autonomous vehicle services – TUM Transportation Systems MSc. Supervisors: E. Chaniotakis, C. Antoniou, 2019, mehr… BibTeX Volltext (mediaTUM)
  • Vishal Mahajan: Real-time Driving Intention Prediction and Crash Risk Estimation from Naturalistic Driving Data using Machine learning – TUM Transportation Systems MSc. Supervisors: C. Katrakazas, C. Antoniou, 2019, mehr… BibTeX Volltext (mediaTUM)
  • Yijiong Zhu: Dynamic Traffic Assignment Model Calibration Using Islands Genetic Algorithm – TUM Transportation Systems MSc. Supervisors: T. Ma, C. Antoniou , 2019, mehr… BibTeX Volltext (mediaTUM)

2018

  • 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)
  • 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)
  • David Bailey: Quantitative Cybersecurity Risk Management for Autonomous Vehicle Systems – TUM Transportation Systems MSc. Supervisors: E. Chaniotakis, C. Antoniou, 2018, mehr… BibTeX Volltext (mediaTUM)
  • Fatemeh Fathisardehaee: Public Transport Users’ Satisfaction: Athens vs Munich. – TUM Transportation Systems MSc., Supervisors: C. Antoniou, E. Chaniotakis, 2018, mehr… BibTeX Volltext (mediaTUM)
  • 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
  • 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)
  • Mengying Fu: Exploring Preferences for Transportation Modes in an Urban Air Mobility Environment: a Munich Case Study. Masterarbeit, 2018 mehr… BibTeX Volltext (mediaTUM)
  • 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)
  • 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)
  • 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)
  • 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)

2017

  • 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)
  • 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)
  • 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)