7 citations · 8 across the 3 of their papers we have counts for
3 papers
eess.SP2026
Sensor Placement for Urban Traffic Interpolation: A Data-Driven Evaluation to Inform Policy
Silke K. Kaiser
Data on citywide street-segment traffic volumes are essential for urban planning and sustainable mobility management. Yet such data are available only for a limited subset of stree…
cs.LG2025★ 1 cited
Spatio-Temporal Graph Neural Network for Urban Spaces: Interpolating Citywide Traffic Volume
Silke K. Kaiser, Filipe Rodrigues, Carlos Lima Azevedo +1
Graph Neural Networks have shown strong performance in traffic volume forecasting, particularly on highways and major arterial networks. Applying them to urban settings, however, p…
cs.CY2024★ 7 cited
From Counting Stations to City-Wide Estimates: Data-Driven Bicycle Volume Extrapolation
Silke K. Kaiser, Nadja Klein, Lynn H. Kaack
Shifting to cycling in urban areas reduces greenhouse gas emissions and improves public health. Street-level bicycle volume information would aid cities in planning targeted infras…