Artur Grigorev

19 papers Journal 13Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Automated Traffic Incident Response Plans using Generative Artificial Intelligence: Part 1 - Building the Incident Response Benchmark. CoRR Artur Grigorev, Khaled Saleh, Jiwon Kim, Adriana Simona Mihaita
2025	—	`conf`	Cyclist Near-Miss Detection Using Lightweight Deep Temporal Neural Networks. ITSC Khaled Saleh, Artur Grigorev, Adriana Simona Mihaita
2025	J	`jnl`	Enhancing Traffic Incident Management with Large Language Models: A Hybrid Machine Learning Approach for Severity Classification. Int. J. Intell. Transp. Syst. Res. Artur Grigorev, Khaled Saleh, Yuming Ou, Adriana Simona Mihaita
2025	J	`jnl`	Predicting the Duration of Traffic Incidents for Sydney Greater Metropolitan Area using Machine Learning Methods. Int. J. Intell. Transp. Syst. Res. Artur Grigorev, Sajjad Shafiei, Hanna Grzybowska, Adriana Simona Mihaita
2025	—	`conf`	Spatial Association Between Near-Misses and Accident Blackspots in Sydney, Australia: A Getis-Ord $G_{i}^{*}$ Analysis. ITSC Artur Grigorev, David Lillo-Trynes, Adriana Simona Mihaita
2025	J	`jnl`	Spatial Association Between Near-Misses and Accident Blackspots in Sydney, Australia: A Getis-Ord G CoRR Artur Grigorev, David Lillo-Trynes, Adriana Simona Mihaita
2025	J	`jnl`	Urban Visibility Hotspots: Quantifying Building Vertex Visibility from Connected Vehicle Trajectories using Spatial Indexing. CoRR Artur Grigorev, Adriana Simona Mihaita
2024	J	`jnl`	Automatic Accident Detection, Segmentation and Duration Prediction Using Machine Learning. IEEE Trans. Intell. Transp. Syst. Artur Grigorev, Adriana Simona Mihaita, Khaled Saleh, Fang Chen
2024	J	`jnl`	IncidentResponseGPT: Generating Traffic Incident Response Plans with Generative Artificial Intelligence. CoRR Artur Grigorev, Khaled Saleh, Yuming Ou
2024	J	`jnl`	Integrating Large Language Models for Severity Classification in Traffic Incident Management: A Machine Learning Approach. CoRR Artur Grigorev, Khaled Saleh, Yuming Ou, Adriana Simona Mihaita
2024	J	`jnl`	Predicting the duration of traffic incidents for Sydney greater metropolitan area using machine learning methods. CoRR Artur Grigorev, Sajjad Shafiei, Hanna Grzybowska, Adriana Simona Mihaita
2023	—	`conf`	Traffic Accident Risk Forecasting using Contextual Vision Transformers with Static Map Generation and Coarse-Fine-Coarse Transformers. ITSC Artur Grigorev, Khaled Saleh, Adriana Simona Mihaita
2022	J	`jnl`	Incident duration prediction using a bi-level machine learning framework with outlier removal and intra-extra joint optimisation. CoRR Artur Grigorev, Adriana Simona Mihaita, Seunghyeon Lee, Fang Chen
2022	—	`conf`	Traffic Accident Risk Forecasting using Contextual Vision Transformers. ITSC Khaled Saleh, Artur Grigorev, Adriana Simona Mihaita
2022	J	`jnl`	Traffic Accident Risk Forecasting using Contextual Vision Transformers. CoRR Khaled Saleh, Artur Grigorev, Adriana Simona Mihaita
2022	—	`conf`	Traffic incident duration prediction via a deep learning framework for text description encoding. ITSC Artur Grigorev, Adriana Simona Mihaita, Khaled Saleh, Massimo Piccardi
2022	J	`jnl`	Traffic incident duration prediction via a deep learning framework for text description encoding. CoRR Artur Grigorev, Adriana Simona Mihaita, Khaled Saleh, Massimo Piccardi
2021	—	`conf`	How will electric vehicles affect traffic congestion and energy consumption: an integrated modelling approach. ITSC Artur Grigorev, Tuo Mao, Adam Berry, Joachim Tan, Loki Purushothaman, Adriana Simona Mihaita
2021	J	`jnl`	How will electric vehicles affect traffic congestion and energy consumption: an integrated modelling approach. CoRR Artur Grigorev, Tuo Mao, Adam Berry, Joachim Tan, Loki Purushothaman, Adriana Simona Mihaita