Factoring predicted traffic volume into a learned link capacity and a regime-aware utilization ratio improves hourly volume estimates on unseen links and across cities.
Title resolution pending
1 Pith paper cite this work, alongside 35 external citations. Polarity classification is still indexing.
1
Pith paper citing it
35
external citations · OpenAlex
fields
cs.LG 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Capacity-Aware Deep Learning for Generalizable Traffic Volume Estimation Across Links and Cities
Factoring predicted traffic volume into a learned link capacity and a regime-aware utilization ratio improves hourly volume estimates on unseen links and across cities.