72 citations · 86 across the 8 of their papers we have counts for
9 papers
Crash Narrative-Guided Countermeasure Recommendation Using Large Language Models: A Retrieval-Augmented Generation Framework for Intersection Safety
Abu Saif Md Nasim Uddin, Mohamed Abdel-Aty, Zubayer Islam +2
Improving safety at intersections requires identifying crash mechanisms and recommending appropriate countermeasures. However, this process traditionally relies on expert judgment,…
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…
inTformer: A Time-Embedded Attention-Based Transformer for Crash Likelihood Prediction at Intersections Using Connected Vehicle Data
B M Tazbiul Hassan Anik, Zubayer Islam, Mohamed Abdel-Aty
The real-time crash likelihood prediction model is an essential component of the proactive traffic safety management system. Over the years, numerous studies have attempted to cons…
Using Connected Vehicle Trajectory Data to Evaluate the Effects of Speeding
Jorge Ugan, Mohamed Abdel-Aty, Zubayer Islam
Speeding has been and continues to be a major contributing factor to traffic fatalities. Various transportation agencies have proposed speed management strategies to reduce the amo…
Towards Next Generation of Pedestrian and Connected Vehicle In-the-loop Research: A Digital Twin Co-Simulation Framework
Zijin Wang, Ou Zheng, Liangding Li +3
Digital Twin is an emerging technology that replicates real-world entities into a digital space. It has attracted increasing attention in the transportation field and many research…
Modelling the Relationship Between Post Encroachment Time and Signal Timings Using UAV Video data
Zubayer Islam, Mohamed Abdel-Aty, Amrita Goswamy +2
Intersection safety often relies on the correct modelling of signal phasing and timing parameters. A slight increase in yellow time or red time can have significant impact on the r…
Deep Convolutional Neural Network for Roadway Incident Surveillance Using Audio Data
Zubayer Islam, Mohamed Abdel-Aty
Crash events identification and prediction plays a vital role in understanding safety conditions for transportation systems. While existing systems use traffic parameters correlate…
Real-time Emergency Vehicle Event Detection Using Audio Data
Zubayer Islam, Mohamed Abdel-Aty
In this work, we focus on detecting emergency vehicles using only audio data. Improved and quick detection can help in faster preemption of these vehicles at signalized intersectio…