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
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
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…