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Xiaoyi is a second-year PhD at DTU Intelligent Transportation Systems (ITS) group. Her research interests are learning-based control and optimization for transportation systems, such as tolling, autonomous vehicle control, and electric vehicles.
Feel free to reach out if you share similar research interests.
Keywords
- User defined:
- Reinforcement Learning
- Learning-based Control
- Tolling Design
- Eletronic Vehicle
- Intelligent Transportation Systems
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Beyond the Vehicle Routing Problem: Design of Temporal Networks for Demand-Responsive Transport
Wu, X., Seshadri, R., Rodrigues, F., Azevedo, C. L. & Araldo, A., 2026, Proceedings of the 15th International Conference on Operations Research and Enterprise Systems ICORES. Vol. 1. p. 339-350Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Deep reinforcement learning for day-to-day dynamic tolling in tradable credit schemes
Wu, X., Seshadri, R., Rodrigues, F. & Lima Azevedo, C., 2025, In: Transportmetrica B. 13, 1, 2552884.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile6 Downloads (Orbit) -
Joint Design of Conventional Public Transport Network and Mobility on Demand
Wu, X., Mouhrim, N., Araldo, A., Molenbruch, Y., Feillet, D. & Braekers, K., 2025, In: Transportation Research Procedia. 86, p. 104-112Research output: Contribution to journal › Conference article › Research › peer-review
Open AccessFile2 Downloads (Orbit)
Projects
- 1 Finished
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Simulation and Machine Learning for the Next Generation Public Transportation
Wu, X. (PhD Student), Azevedo, C. M. L. (Main Supervisor), Rodrigues, F. (Supervisor) & Seshadri, R. (Supervisor)
15/05/2023 → 14/05/2026
Project: PhD