Forschungsgruppen

This research group focuses on human factors, their impacts on transport, and their interactions within different aspects of the transportation industry.

Key areas of investigation:

• Driving behavior (driving simulation, naturalistic driving) 
• Travel behavior (gender impact, socio-demographics) 
• Survey design 
• Acceptance of disruptive transport technologies (e.g., UAM, Hyperloop) 
• User experience evaluation, including comfort assessment in different transportation modes 

• Behavior modeling for transportation planning and policy 

Current projects:

• AMI-AirShuttle
• Ethics for the Smart City
• MCube AQT
• MCube SASIM

Past projects:

• DriveToTheFuture 
• i-DREAMS 
• OBUAM

Members:

• Christelle Al Haddad (Lead)
• Mohamed Abouelela
• Filippos Adamidis
• Jumana Al-Weshah
• César Núñez
• Hao Wu

Open thesis topics:

• [Develop your own topic on Urban Air Mobility] Open master/bachelor thesis topic. Mentoring: Hao Wu. (release date: today)
  • Please refer to the UAM showcase, and the UAM project page in order to develop your own research topic. After having a thesis topic, you could send your CV and transcript of records to Hao Wu for arranging an appointment to discuss your potential master/bachelor thesis.
• The future of public transportation. Mentoring: Santa Maiti and Mohamed Abouelela. Download description. (release date: 11.11.2022)
• Gender differences in micro-mobility use among the various ethnic groups. Mentoring: César Núñez. Download description. (release date: 10.11.2022)
• To what extent does children’s independent mobility affect women’s daily activity patterns among the different ethnic groups?. Mentoring: César Núñez. Download description. (release date: 10.11.2022)
• The impact of the daily life style on the use of active mobility. Mentoring: César Núñez. (release date: 28.10.2022)

Key areas of investigation:

• DTA model calibration
• Redistributing metro demand to alleviate the effects of over capacity
• Optimizing and modeling dynamic van-pooling services
• Optimisation-based transportation operations
• Optimisation-based multimodal freight operations

Members:

• Mohammad Sadrani
• Qinglong Lu
• Santa Maiti

Open thesis topics:

• Assessing charging strategies for electric vehicles: Application of multiple-criteria decision-making methods. Mentoring: Mohammad Sadrani. (release date: 17.10.2022)

This research group focuses on modelling and simulating inter/multimodal transportation systems, emerging mobility and vehicle technologies.

Key areas of investigation:

• Transport demand and supply modeling (traditional and agent-based modeling)
• Modeling multimodal transportation systems
• Modeling emerging/on-demand mobility systems
• Modeling autonomous/connected autonomous vehicles

Current projects:

• AMI-AirShuttle
• MCube AQT
• MCube SASIM
• PHOEBE

Past projects:

• DVanpool
• TraMPA
• MOMENTUM
• OBUAM

Tools and frameworks:

• Aimsun
• MATSim
• Simmobility
• SUMO by DLR
• Visum by PTV

Members:

• Vishal Mahajan (Lead)
• Filippos Adamidis
• Qinglong Lu
• Arunava Putatunda
• Hashmatullah Sadid
• Ramandeep Singh
• Hao Wu

Open thesis topics:

• Agent-based transport simulation with mobility hubs in Munich. Mentoring: Filippos Adamidis. Download description. (release date 20.04.2023)
• [Develop your own topic on Urban Air Mobility] Open master/bachelor thesis topic. Mentoring: Hao Wu. (release date: today)
  • Please refer to the UAM showcase, the UAM project page, and MATSim-UAM extension in order to develop your own research topic. After having a thesis topic, you could send your transcript of records (ideal also with CV) to wu.hao@tum.de to arrange an appointment to discuss your potential master/bachelor thesis.
• [Develop your own topic on MATSim] Open master/bachelor thesis topic. Mentoring: Hao Wu. (release date: today)
  • You could send your transcript of records (ideal also with CV) to wu.hao@tum.de to arrange an appointment to discuss your potential master/bachelor thesis.
• Simulation-based impact assessment of autonomous vehicles at node- and link levels. Mentoring: Hashmatullah Sadid.Download description. (release date: 10.11.2022)

The focus is on the use of publicly available datasets for transport analytics and modeling. Due to the availability of diverse datasets, this group has a wide coverage of topics such as travel demand, traffic behavior, transport supply, traffic safety.

Key areas of investigation:

• 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
• Traffic behavior modeling and safety analysis using naturalistic driving data
• Transport supply modeling using OSM and GTFS data

Current projects:

• MODA
• MI-TRAP
• DARUMA
• PANAMERA

Past projects:

• i-DREAMS
• MO3
• TraMPA

Members:

• Mohamed Abouelela (Lead)
• Yunyi Liang
• Qinglong Lu
• Cheng Lyu
• Vishal Mahajan
• Santhanakrishnan Narayanan
• Ramandeep Singh

Open thesis topics:

• AI-Based Mode Choice Modeling for Urban Air Mobility as an Airport Shuttle Service. Mentoring: Hao Wu and Cheng Lyu. Download description. (release date: 04.08.2023)
• (Porsche) Bachelor’s Thesis in Automatic Machine Learning for Time-Series Forecasting and Anomaly Detection. Mentoring: Nadin-Katrin Apel. Download description. (release date: 07.09.2022)