During my years at KU Leuven, I have mentored four master's students. The intellectual property of their thesis belongs to KU Leuven and the students, so I cannot share their thesis here. However, here are links to their thesis at the KU Leuven online library, as well as a few pages from the beginning of the thesis. These pages only include the cover page, summary, and table of contents. This will help the interested researchers learn about the amazing research of these students.

 

Gwynne van Kaauwen

     • 2020-2021

     • Thesis Title: Multi-objective optimization for traffic signal control

     • Now, working for TRACTEBEL-Engie

     • Links: (First pages) (KUL online library)

Lotte Notelaers

     • 2020-2021

     • Thesis Title: Shared Automated Vehicle Services in Multimodal Network Simulation.

     • Joint papers:

            1- Stated Preferences on Shared Automated Vehicles in the Context of Mode Choice Model Estimation for Different Trip Purposes A Case Study for Flanders, Belgium. (TRB-2024)

            2- A Stated Preferences Analysis of Shared Automated Vehicles as a Complementary Semi-Public Mode. (under review J. Trans. Georg.-2024)

     • Now, PhD candidate at KU Leuven

     • Links: (Firs pages) (KUL online library)

Maarten Wens

     • 2021-2022

     • Thesis Title: Unravelling Interlocking Vehicle Trajectories Towards Antwerp’s Largest Bottleneck.

     • Joint papers:

            1- Strategic Lane Changing Behaviour in a Multi-Class, Complex Highway Setting. (under review Eur. J. Oper. Res.-2024)

            2- Differences in Optimised Trajectories Under Selfish and collaborative Behaviour of multi-class Freeway Traffic (IEEE-MY-ITS-2023)

            3- Optimising highway vehicle trajectories with a MILP; case study on the ring of Antwerp. (ORBEL-2022)

     • Now, PhD candidate at KU Leuven

     • Links: (Firs pages) (KUL online library)

Nikzad Rezaie

     • 2022-2023)

     • Thesis Title: Trajectory Reconstruction Using Reinforcement Learning.

     • Joint paper:

            1- Trajectory Reconstruction Using Reinforcement Learning. (TRB-2024)

     • Nikzad has been honoured with distinction for his thesis.

     • Now, working for De Lijn

     • Links: (Firs pages) (KUL online library)