- Learning-Guided Transfer Point Search for Efficient Inter-Modal Routing With Mobility-on-Demand Feeders. IEEE Transactions on Intelligent Transportation Systems, 2026, 1-12 more…
- FleetPy: an open source simulator for reproducible research on mobility-on-demand services. European Transport Research Review 18 (1), 2026 more…
- Predicting Offers for Mobility-on-Demand Services: A Machine Learning-Based Approach. 104th Annual Meeting of the Transportation Research Board (TRB), 2025 more…
M.Sc. Chenhao Ding
- E-mail: chenhao.ding@tum.de
Curriculum Vitae
Work experience | |
| since 2023 | Technical University of Munich Researcher |
| 2020 | Truking Technology Co., Ltd Research Intern |
Education | |
| 2023 | M.Sc. in Mobility and Infrastructure Thesis: Investigation of Methods and Data Sources for the Generation of a Synthetic Population Karlsruhe Institute of Technology |
| 2019 | B.Sc. in Transportation Equipment and Control Engineering Thesis: Kinematics Analysis of Omnidirectional Vehicle Based on Mecanum Wheel Central South University (China) |
Publications
Supervised Theses
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A Data-Driven Approach to Forecasting Public Transit Delays: Building a Historical Database and Applying Predictive Models.
Master Thesis. Start: 1.12.2025; End: 30.5.2026. Mentoring: Dandl, Ding. Abstract. -
Analyzing the Effects of Transfer Constraints on a Ridepooling Service.
Master Thesis. Start: 1.10.2025; End: 20.4.2026. Mentoring: Ding, Dr. Dandl. Abstract. -
Dynamic Pricing in Ridepooling Services.
Master Thesis. Start: 23.9.2024; End: 7.4.2025. Mentoring: Ding, Dr. Dandl. Abstract. -
Implementation of Different Methods for User Equilibrium and System Optimum Routing in the Microscopic Simulation Platform SUMO.
Master Thesis. Start: 19.6.2024; End: 19.12.2024. Mentoring: Steinmetz, Ding. Abstract. -
Development of Heuristics and Machine-learning Approaches to Find Transfer Points in Intermodal Travel.
Master Thesis. Start: 27.3.2024; End: 26.9.2024. Mentoring: Dr. Dandl, Alvarez, Ding. Abstract.