2 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.LG2024
TraffiDent: A Dataset for Understanding the Interplay Between Traffic Dynamics and Incidents
Xiaochuan Gou, Ziyue Li, Tian Lan +6
Long-separated research has been conducted on two highly correlated tracks: traffic and incidents. Traffic track witnesses complicating deep learning models, e.g., to push the pred…
cs.DC2021★ 2 cited
Quasi-Dynamic Traffic Assignment using High Performance Computing
Cy Chan, Anu Kuncheria, Bingyu Zhao +5
Traffic assignment methods are some of the key approaches used to model flow patterns that arise in transportation networks. Since static traffic assignment does not have a notion…
stat.AP2020
Context-specific volume-delay curves by combining crowd-sourced traffic data with Automated Traffic Counters (ATC): a case study for London
Gerard Casey, Bingyu Zhao, Krishna Kumar +1
Traffic congestion across the world has reached chronic levels. Despite many technological disruptions, one of the most fundamental and widely used functions within traffic modelli…