3 papers
cs.LG2026
Dynamic multi-agent deep reinforcement learning-based pricing and incentivization approach in multimodal transportation networks
Khadidja Kadem, Mostafa Ameli, Carlos Lima Azevedo +2
In multimodal transportation systems, shared mobility services (SMSs) are promoted for their potential to enhance flexibility and reduce congestion. However, SMS demand is often co…
cs.LG2025
Federated Dynamic Modeling and Learning for Spatiotemporal Data Forecasting
Thien Pham, Angelo Furno, Faïcel Chamroukhi +1
This paper presents an advanced Federated Learning (FL) framework for forecasting complex spatiotemporal data, improving upon recent state-of-the-art models. In the proposed approa…
math.OC2025
Multimodal urban transportation network equilibrium including intermodality and shared mobility services
Khadidja Kadem, Mostafa Ameli, Mahdi Zargayouna +1
Shared Mobility Services (SMSs) are transforming urban transportation systems by offering flexible travel options. These services, which help reduce the number of cars on the roads…