| Incident duration prediction using a bi-level machine learning framework with outlier removal and intra–extra joint optimisation A Grigorev, AS Mihaita, S Lee, F Chen Transportation research part C: emerging technologies 141, 103721, 2022 | 42 | 2022 |
| Traffic accident risk forecasting using contextual vision transformers K Saleh, A Grigorev, AS Mihaita 2022 IEEE 25th International Conference on Intelligent Transportation …, 2022 | 16 | 2022 |
| Traffic incident duration prediction via a deep learning framework for text description encoding A Grigorev, AS Mihăiţă, K Saleh, M Piccardi 2022 IEEE 25th International Conference on Intelligent Transportation …, 2022 | 13 | 2022 |
| How will electric vehicles affect traffic congestion and energy consumption: an integrated modelling approach A Grigorev, T Mao, A Berry, J Tan, L Purushothaman, AS Mihaita 2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021 | 13 | 2021 |
| Automatic accident detection, segmentation and duration prediction using machine learning A Grigorev, AS Mihăiţă, K Saleh, F Chen IEEE Transactions on Intelligent Transportation Systems 25 (2), 1547-1568, 2023 | 9 | 2023 |
| IncidentResponseGPT: Generating traffic incident response plans with generative artificial intelligence A Grigorev, ASMK Saleh, Y Ou arXiv preprint arXiv:2404.18550, 2024 | 6 | 2024 |
| Traffic accident risk forecasting using contextual vision transformers with static map generation and coarse-fine-coarse transformers A Grigorev, K Saleh, AS Mihaita 2023 IEEE 26th International Conference on Intelligent Transportation …, 2023 | 6 | 2023 |
| Integrating Large Language Models for Severity Classification in Traffic Incident Management: A Machine Learning Approach A Grigorev, K Saleh, Y Ou, AS Mihaita arXiv e-prints, arXiv: 2403.13547, 2024 | 3 | 2024 |
| Analysis of special transport behavior using computer vision analysis of video from traffic cameras G Artur, I Derevitskii, K Bochenina Digital Transformation and Global Society: Third International Conference …, 2018 | 3 | 2018 |
| Anomaly detection using adaptive suppression A Grigorev, O Severiukhina, I Derevitskii Procedia Computer Science 156, 274-282, 2019 | 1 | 2019 |
| Predicting the duration of traffic incidents for Sydney greater metropolitan area using machine learning methods A Grigorev, S Shafiei, H Grzybowska, AS Mihăiţă International Journal of Intelligent Transportation Systems Research, 1-22, 2024 | | 2024 |
| Traffic Incident Duration Prediction: A Systematic Review of Techniques A Grigorev, AS Mihaita, F Chen Journal of Advanced Transportation 2024 (1), 3748345, 2024 | | 2024 |
| Traffic incident duration prediction enhancement via text description encoding A Grigorev, AS Mihaita, K Saleh, M Piccardi | | |