• Development of a methodology for dimensioning car-pool parking spaces, taking into account the potentials of carpooling. Mentoring: , Dr. Tsakarestos.
• Optimized Route Planning for Station-Based Ride-Pooling Services using a Digital Twin. Mentoring: Dr. Dandl, Engelhardt.
• From Single Intersections to Network Traffic State: Ma-chine Learning in Traffic State Estimation. Mentoring: Zhang, Steinmetz.
• Simulation-based Analysis of the Impact of Novel Modes of Transportation at Non-Signalized Intersections. Mentoring: Stüger, Dr. Takayasu.
• Use of social media messages for incident analysis and prediction in public transport. Mentoring: , Dr. Tsakarestos.
• Adaptive traffic signal control with connected vehicle data. Mentoring: Steinmetz, Dr. Rostami.
• Data-Driven Perspectives on Urban Congestion: Integrating Autonomous Vehicle Data and Public Sources for Accurate Estimation. Mentoring: Dr. Spangler, Sekeran.
• Investigating the Impact of Extreme Weather on Mobility Behavior with RP Data. Mentoring: Waldorf, Alvarez.
• Simulation-Based Comparison of On-Demand and Line-Based Public Transport Services. Mentoring: Dr. Dandl, Alayasreih.
• Spatial and Temporal Analysis of Bike-Sharing Demand: A Case Study from Munich. Mentoring: Alayasreih, Waldorf.
• Investigating and analyzing the effects of policy instruments such as the 9-Euro-Ticket and the “Deutschlandticket” on activity spaces and mobility patterns. Mentoring: Waldorf, Alvarez.
• State Vector Design for Reinforcement Learning in traffic signal control. Mentoring: Steinmetz, Karalakou.
• Estimation of environmental impacts of bike sharing based on MVG data in Munich. Mentoring: Ilic, Fehn.
• Comparative LCA of cable car, bus and streetcar using a synthetic model. Mentoring: Ilic, Glöckl.
• Analyzing traffic influencing factors in Québec City, Canada before and during times of Covid-19. Mentoring: Dr. Müller, Dr. Dandl.
• Development of Heuristics and Machine-learning Approaches to Find Transfer Points in Intermodal Travel. Mentoring: Dr. Dandl, Alvarez, Ding.
• Implementation and Testing of a Cooperative, Partially Automated Driving Function in a Real Vehicle Considering Influences of Road Traffic. Mentoring: Lindner, Sekeran.
• Optimizing the Placement of Roadside ITS-Stations in Urban Intersections Towards Enhanced Collaborative Perception. Mentoring: Ilic, Dr. Pechinger.
• Use of Artificial Intelligence to Calibrate Microscopic Driving Behaviour Models. Mentoring: Stüger, Steinmetz.
• Development of a Control Procedure for Public Transport Prioritization Considering Continuous Monitoring of Public Transport Vehicles. Mentoring: Stüger, Steinmetz.
• Physics-informed Deep Learning for OD Demand Prediction. Mentoring: Dr. Rostami, Dr. Niels.
• Studying the interaction of cyclists and autonomous shuttle busses in dynamic stop scenarios using a bicy-cle simulator. Mentoring: Lindner, Dr. Pechinger.
• Method to Identify Potential Corridors for Bus Rapid Transit within an Existing Bus Network. Mentoring: Dr. Dandl, Dr. Tsakarestos.
• Analysis of Bicycle Riding Behavior at Intersections under Consideration of Infrastructure. Mentoring: Dahmen, Dr. Kessler.