6 citations · 7 across the 8 of their papers we have counts for
6 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…
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…
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…
Traffic incident duration prediction via a deep learning framework for text description encoding
Artur Grigorev, Adriana-Simona Mihaita, Khaled Saleh +1
Predicting the traffic incident duration is a hard problem to solve due to the stochastic nature of incident occurrence in space and time, a lack of information at the beginning of…
Incident duration prediction using a bi-level machine learning framework with outlier removal and intra-extra joint optimisation
Artur Grigorev, Adriana-Simona Mihaita, Seunghyeon Lee +1
Predicting the duration of traffic incidents is a challenging task due to the stochastic nature of events. The ability to accurately predict how long accidents will last can provid…