205 citations · 652 across the 20 of their papers we have counts for
20 papers
Vehicle-group-based Crash Risk Prediction and Interpretation on Highways
Tianheng Zhu, Ling Wang, Yiheng Feng +2
Previous studies in predicting crash risks primarily associated the number or likelihood of crashes on a road segment with traffic parameters or geometric characteristics, usually…
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…
A Novel Temporal Multi-Gate Mixture-of-Experts Approach for Vehicle Trajectory and Driving Intention Prediction
Renteng Yuan, Mohamed Abdel-Aty, Qiaojun Xiang +2
Accurate Vehicle Trajectory Prediction is critical for automated vehicles and advanced driver assistance systems. Vehicle trajectory prediction consists of two essential tasks, i.e…
TrafficSafetyGPT: Tuning a Pre-trained Large Language Model to a Domain-Specific Expert in Transportation Safety
Ou Zheng, Mohamed Abdel-Aty, Dongdong Wang +2
Large Language Models (LLMs) have shown remarkable effectiveness in various general-domain natural language processing (NLP) tasks. However, their performance in transportation saf…
Lane Change Intention Recognition and Vehicle Status Prediction for Autonomous Vehicles
Renteng Yuan, Mohamed Abdel-Aty, Xin Gu +2
Accurately detecting and predicting lane change (LC)processes of human-driven vehicles can help autonomous vehicles better understand their surrounding environment, recognize poten…
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…