2 papers
cs.LG2026
Bikelution: Federated Gradient-Boosting for Scalable Shared Micro-Mobility Demand Forecasting
Antonios Tziorvas, Andreas Tritsarolis, Yannis Theodoridis
The rapid growth of dockless bike-sharing systems has generated massive spatio-temporal datasets useful for fleet allocation, congestion reduction, and sustainable mobility. Bike d…
cs.LG2026
MoDE-Boost: Boosting Shared Mobility Demand with Edge-Ready Prediction Models
Antonios Tziorvas, George S. Theodoropoulos, Yannis Theodoridis
Urban demand forecasting plays a critical role in optimizing routing, dispatching, and congestion management within Intelligent Transportation Systems. By leveraging data fusion an…