4 citations · 5 across the 5 of their papers we have counts for
Showing 2026Show all
2 papers · 1 filter
cs.AI2026
Simulation-Driven Vehicular Traffic Data Augmentation: Extending Sensor Coverage Through Virtual Sensing
Davide Andrea Guastella, Eladio Montero Porras, Evangelos Pournaras +1
Urban traffic management relies on sensor networks whose spatial coverage is limited by deployment costs and privacy regulations. Machine learning models trained on such sparse dat…
cs.LG2026
Simulation-Free Estimation of Traffic Flows from Sparse Count Data
Davide Guastella, Gianluca Bontempi
We propose a method for estimating time-varying traffic flow patterns from sparse aggregated vehicle counts. The method partitions the study area into spatial regions, constructs a…