5 papers
Scaling Traffic Insights with AI and Language Model-Powered Camera Systems for Data-Driven Transportation Decision Making
Fan Zuo, Donglin Zhou, Jingqin Gao +1
Accurate, scalable traffic monitoring is critical for real-time and long-term transportation management, particularly during disruptions such as natural disasters, large constructi…
A multi-dimension and high-granularity equity measurement for transportation services through accessibility and reliability
Mengke, Ma, Zilin Bian +4
Transportation equity research has traditionally emphasized service accessibility and destination reachability while often overlooking the critical aspects of service quality, such…
Informed along the road: roadway capacity driven graph convolution network for network-wide traffic prediction
Zilin Bian, Jingqin Gao, Kaan Ozbay +3
While deep learning has shown success in predicting traffic states, most methods treat it as a general prediction task without considering transportation aspects. Recently, graph n…
Traffic Prediction considering Multiple Levels of Spatial-temporal Information: A Multi-scale Graph Wavelet-based Approach
Zilin Bian, Jingqin Gao, Kaan Ozbay +1
Although traffic prediction has been receiving considerable attention with a number of successes in the context of intelligent transportation systems, the prediction of traffic sta…
A-TEAM: Advanced Traffic Event Analysis and Management Platform for Transportation Data-Driven Problem Solving
Zilin Bian, Dachuan Zuo, Jingqin Gao +2
The rapid growth in terms of the availability of transportation data provides great potential for the introduction of emerging data-driven methodologies into transportation-related…