• From Single Intersections to Network Traffic State: Ma-chine Learning in Traffic State Estimation. Mentoring: Zhang, Steinmetz.
• 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.
• Potential analysis of a cost-reducing charging strategy at public charging stations for electric vehicles. Mentoring: Fischer, Fehn.
• Measures to maximize Mobilitycoin Crowdfunding and cost-benefit assessment to support sustainable transport choices. Mentoring: Servatius.
• Contribution to the integrated network planning of the City of Mu-nich. Mentoring: Dr. Tsakarestos, Glöckl.
• Assessing the Practicability of Munich’s Existing Bicycle Infrastructure to Accommodate Current and Future Bicycle Types. Mentoring: Dr. Kessler, Kutsch.
• Comparative Evaluation of Overhead Detector Technologies for Vehicle Detection & Classification in Urban Environment. Mentoring: Ilic, Dr. Pechinger.
• Unlocking the potential of Carpooling: Analyzing commuter flexibility for a sustainable mobility future. Mentoring: Dr. Dandl, Waldorf.
• Microsimulation-based Analysis of Road Closure Sce-narios. Mentoring: Alayasreih, Alvarez.
• Analysing Usage Patterns and Carbon Emissions of Public EV Charging Sessions in Munich: A Data-Driven Optimization Approach Using Machine Learning. Mentoring: Ilic, Fischer.
• Implementation of Different Methods for User Equilibrium and System Optimum Routing in the Microscopic Simulation Platform SUMO. Mentoring: Steinmetz, Ding.
• MobilityCoins - A Comparative Study of Multinomial Logit Models and Neural Networks Using Survey Data. Mentoring: Servatius.