111 citations · 136 across the 14 of their papers we have counts for
15 papers
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…
Automated Traffic Incident Response Plans using Generative Artificial Intelligence: Part 1 -- Building the Incident Response Benchmark
Artur Grigorev, Khaled Saleh, Jiwon Kim +1
Traffic incidents remain a critical public safety concern worldwide, with Australia recording 1,300 road fatalities in 2024, which is the highest toll in 12 years. Similarly, the U…
Rapid Quantification of Outdoor Object Visibility in Urban Setting Using Connected-Vehicle Fields of View
Artur Grigorev, Adriana-Simona Mihaita
Identifying locations that offer maximum visual exposure to passing vehicular traffic is a core problem in urban analytics, with applications spanning urban design, navigation, loc…
Spatial Association Between Near-Misses and Accident Blackspots in Sydney, Australia: A Getis-Ord Analysis
Artur Grigorev, David Lillo-Trynes, Adriana-Simona Mihaita
Conventional road safety management is inherently reactive, relying on analysis of sparse and lagged historical crash data to identify hazardous locations, or crash blackspots. The…
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…