2 papers
cs.LG2026
Comparative Analysis of Polygon-Based and Global Machine Learning Models for Bus Occupancy Prediction
Daniel Azenkot, Michael Fire, Eran Ben Elia
Accurate forecasting of bus ridership (passengers numbers) is crucial for efficient management and optimization of public transport systems. Traditional forecasting models often fa…
cs.LG2025
A Comprehensive Machine Learning Framework for Micromobility Demand Prediction
Omri Porat, Michael Fire, Eran Ben-Elia
Dockless e-scooters, a key micromobility service, have emerged as eco-friendly and flexible urban transport alternatives. These services improve first and last-mile connectivity, r…