4 papers · 1 filter
Proactive Road Safety Intervention in Australia: Predicting Risky Driving Hotspots from Connected Vehicle Data
Adriana-Simona Mihăiţă, Clarence Cheung, Artur Grigorev +2
Road safety monitoring has historically been reactive, relying on crash-record analysis after fatalities and injuries have already occurred. Proactive identification of high-risk l…
IncidentResponseGPT: Generating Traffic Incident Response Plans with Generative Artificial Intelligence
Artur Grigorev, Adriana-Simona Mihaita Khaled Saleh, Yuming Ou
The proposed IncidentResponseGPT framework - a novel system that applies generative artificial intelligence (AI) to potentially enhance the efficiency and effectiveness of traffic…
Predicting the duration of traffic incidents for Sydney greater metropolitan area using machine learning methods
Artur Grigorev, Sajjad Shafiei, Hanna Grzybowska +1
This research presents a comprehensive approach to predicting the duration of traffic incidents and classifying them as short-term or long-term across the Sydney Metropolitan Area.…
Enhancing Traffic Incident Management with Large Language Models: A Hybrid Machine Learning Approach for Severity Classification
Artur Grigorev, Khaled Saleh, Yuming Ou +1
This research showcases the innovative integration of Large Language Models into machine learning workflows for traffic incident management, focusing on the classification of incid…