Research

Below you will find an overview of our current doctoral/postdoctoral and funded research projects.
Doctoral and postdoctoral projects: Considering Complex Customer Preferences in Multimodal Travel Itineraries Dynamic Fleet Management in Ride-Sharing Systems Opportunities for Machine Learning in Urban Logistics Stochastic Optimisation of Urban Delivery Systems with Micro Hubs Service Quality, Consistency, and Equity in Stochastic and Dynamic Distribution Networks
Funded projects: Pro-Active Routing for Emergency Testing in Pandemics, funded by DFG since 2022 Integrating machine learning in combinatorial dynamic optimization for urban transportation services, funded by DFG since 2022 Urban Mobility and Logistics: Learning and Optimization under Uncertainty, funded by DFG since 2020 Combined Approximate Dynamic Programming for Dynamic Same-Day Delivery, funded by DFG from 2018 to 2022
Research data: Data for the paper "Optimal Service Time Windows": Download Zip file