An agent-based system to build project memories during engineering projects. - Davy Monticolo; Adriana Simona Mihaita; Hind Darwich; Vincent Hilaire (Knowl. Based Syst., 2014)

Multi-objective traffic signal optimization using 3D mesoscopic simulation and evolutionary algorithms. - Adriana Simona Mihaita; Laurent Dupont 001; Mauricio Camargo (Simul. Model. Pract. Theory, 2018)

Motorway Traffic Flow Prediction using Advanced Deep Learning. - Adriana Simona Mihaita; Haowen Li; Zongyang He; Marian-Andrei Rizoiu (ITSC, 2019)

Arterial incident duration prediction using a bi-level framework of extreme gradient-tree boosting. - Adriana Simona Mihaita; Zheyuan Liu 002; Chen Cai; Marian-Andrei Rizoiu (CoRR, 2019)

Trip Table Estimation and Prediction for Dynamic Traffic Assignment Applications. - Sajjad Shafiei; Adriana Simona Mihaita; Chen Cai (CoRR, 2019)

Traffic signal control optimization under severe incident conditions using Genetic Algorithm. - Tuo Mao; Adriana Simona Mihaita; Chen Cai (CoRR, 2019)

Predicting Air Quality by Integrating a Mesoscopic Traffic Simulation Model and Simplified Air Pollutant Estimation Models. - Adriana Simona Mihaita; Mirian Benavides Ortiz; Mauricio Camargo; Chen Cai (Int. J. Intell. Transp. Syst. Res., 2019)

Graph modelling approaches for motorway traffic flow prediction. - Adriana Simona Mihaita; Zac Papachatgis; Marian-Andrei Rizoiu (ITSC, 2020)

Dynamic Train Demand Estimation and Passenger Assignment. - Yuming Ou; Adriana Simona Mihaita; Fang Chen 001 (ITSC, 2020)

Traffic congestion anomaly detection and prediction using deep learning. - Adriana Simona Mihaita; Haowen Li; Marian-Andrei Rizoiu (CoRR, 2020)

How will electric vehicles affect traffic congestion and energy consumption: an integrated modelling approach. - Artur Grigorev 001; Tuo Mao; Adam Berry; Joachim Tan; Loki Purushothaman; Adriana Simona Mihaita (ITSC, 2021)

Framework for User-Centered Access to Electric Charging Facilities via Energy-Trading Blockchain. - Ankit R. Patel; Gargi Trivedi; Dhaval R. Vyas; Adriana Simona Mihaita; Sanjeevikumar Padmanaban (WPMC, 2021)

Traffic incident duration prediction via a deep learning framework for text description encoding. - Artur Grigorev 001; Adriana Simona Mihaita; Khaled Saleh; Massimo Piccardi (ITSC, 2022)

Traffic Accident Risk Forecasting using Contextual Vision Transformers. - Khaled Saleh; Artur Grigorev 001; Adriana Simona Mihaita (ITSC, 2022)

Real-time Attention-Augmented Spatio-Temporal Networks for Video-based Driver Activity Recognition. - Khaled Saleh; Adriana Simona Mihaita; Kun Yu 001; Fang Chen 001 (ITSC, 2022)

Traffic disruption modelling with mode shift in multi-modal networks. - Dong Zhao; Adriana Simona Mihaita; Yuming Ou; Sajjad Shafiei; Hanna Grzybowska; Kai Qin; Gary Tan; Mo Li; Hussein Dia (ITSC, 2022)

Incident duration prediction using a bi-level machine learning framework with outlier removal and intra-extra joint optimisation. - Artur Grigorev 001; Adriana Simona Mihaita; Seunghyeon Lee; Fang Chen 001 (CoRR, 2022)

Digital Twin Technology Challenges and Applications: A Comprehensive Review. - Diego M. Botín-Sanabria; Adriana Simona Mihaita; Rodrigo E. Peimbert-García; Mauricio Adolfo Ramírez-Moreno; Ricardo A. Ramírez-Mendoza; Jorge de-J. Lozoya-Santos (Remote. Sens., 2022)

Boosted Genetic Algorithm Using Machine Learning for Traffic Control Optimization. - Tuo Mao; Adriana Simona Mihaita; Fang Chen 001; Hai Le Vu (IEEE Trans. Intell. Transp. Syst., 2022)

Training Physics- Informed Neural Networks via Multi-Task Optimization for Traffic Density Prediction. - Bo Wang; A. Kai Qin; Sajjad Shafiei; Hussein Dia; Adriana Simona Mihaita; Hanna Grzybowska (IJCNN, 2023)

Traffic Accident Risk Forecasting using Contextual Vision Transformers with Static Map Generation and Coarse-Fine-Coarse Transformers. - Artur Grigorev 001; Khaled Saleh; Adriana Simona Mihaita (ITSC, 2023)

Metro Ridership Forecasting using Inter-Station-Aware Transformer Networks. - Khaled Saleh; Adriana Simona Mihaita; Yuming Ou (ITSC, 2023)

Modelling public transport disruptions and impact by smart-card data. - Dong Zhao; Adriana Simona Mihaita; Yuming Ou; Hanna Grzybowska (ITSC, 2023)

An Experimental Study on Decomposition-Based Deep Ensemble Learning for Traffic Flow Forecasting. - Qiyuan Zhu; Alex Kai Qin; Hussein Dia; Adriana Simona Mihaita; Hanna Grzybowska (AI (1), 2024)

Agent Trajectory Prediction in Urban Traffic Environments via Deep Reward Learning. - Khaled Saleh; Adriana Simona Mihaita; Stephan K. Chalup (ITSC, 2024)

Integrating Large Language Models for Severity Classification in Traffic Incident Management: A Machine Learning Approach. - Artur Grigorev 001; Khaled Saleh; Yuming Ou; Adriana Simona Mihaita (CoRR, 2024)

Automatic Accident Detection, Segmentation and Duration Prediction Using Machine Learning. - Artur Grigorev 001; Adriana Simona Mihaita; Khaled Saleh; Fang Chen 001 (IEEE Trans. Intell. Transp. Syst., 2024)

Predicting the Duration of Traffic Incidents for Sydney Greater Metropolitan Area using Machine Learning Methods. - Artur Grigorev 001; Sajjad Shafiei; Hanna Grzybowska; Adriana Simona Mihaita (Int. J. Intell. Transp. Syst. Res., 2025)

Enhancing Traffic Incident Management with Large Language Models: A Hybrid Machine Learning Approach for Severity Classification. - Artur Grigorev 001; Khaled Saleh; Yuming Ou; Adriana Simona Mihaita (Int. J. Intell. Transp. Syst. Res., 2025)

Spatial Association Between Near-Misses and Accident Blackspots in Sydney, Australia: A Getis-Ord Gi* Analysis. - Artur Grigorev 001; David Lillo-Trynes; Adriana Simona Mihaita (CoRR, 2025)

Urban Visibility Hotspots: Quantifying Building Vertex Visibility from Connected Vehicle Trajectories using Spatial Indexing. - Artur Grigorev 001; Adriana Simona Mihaita (CoRR, 2025)

Automated Traffic Incident Response Plans using Generative Artificial Intelligence: Part 1 - Building the Incident Response Benchmark. - Artur Grigorev 001; Khaled Saleh; Jiwon Kim; Adriana Simona Mihaita (CoRR, 2025)