4 papers
Arterial Network Traffic State Prediction with Connected Vehicle Data: An Abnormality-Aware Spatiotemporal Network
Lei Han, Mohamed Abdel-Aty, Yang-Jun Joo
Emerging connected-vehicle (CV) data shows great potential in urban traffic monitoring and forecasting. However, prior CV-based studies on arterial traffic measures prediction are…
Real-time Secondary Crash Likelihood Prediction Excluding Post Primary Crash Features
Lei Han, Mohamed Abdel-Aty, Zubayer Islam +1
Secondary crash likelihood prediction is a critical component of an active traffic management system to mitigate congestion and adverse impacts caused by secondary crashes. However…
MMCAformer: Macro-Micro Cross-Attention Transformer for Traffic Speed Prediction with Microscopic Connected Vehicle Driving Behavior
Lei Han, Mohamed Abdel-Aty, Younggun Kim +2
Accurate speed prediction is crucial for proactive traffic management to enhance traffic efficiency and safety. Existing studies have primarily relied on aggregated, macroscopic tr…
An Integrated Causal Inference Framework for Traffic Safety Modeling with Semantic Street-View Visual Features
Lishan Sun, Yujia Cheng, Pengfei Cui +4
Macroscopic traffic safety modeling aims to identify critical risk factors for regional crashes, thereby informing targeted policy interventions for safety improvement. However, cu…