Adriana Simona Mihaita

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 32

Top Topics

Outlier Removal

Machine Learning

Top Venues

IEEE Trans. Intell. Transp. Syst.

Publications

Artur Grigorev, Sajjad Shafiei, Hanna Grzybowska, Adriana Simona Mihaita
Predicting the duration of traffic incidents for Sydney greater metropolitan area using machine learning methods. CoRR (2024)
Artur Grigorev, Adriana Simona Mihaita, Khaled Saleh, Fang Chen
Automatic Accident Detection, Segmentation and Duration Prediction Using Machine Learning. IEEE Trans. Intell. Transp. Syst. 25 (2) (2024)
Artur Grigorev, Khaled Saleh, Yuming Ou, Adriana Simona Mihaita
Integrating Large Language Models for Severity Classification in Traffic Incident Management: A Machine Learning Approach. CoRR (2024)
Artur Grigorev, Khaled Saleh, Adriana Simona Mihaita
Traffic Accident Risk Forecasting using Contextual Vision Transformers with Static Map Generation and Coarse-Fine-Coarse Transformers. ITSC (2023)
Khaled Saleh, Adriana Simona Mihaita, Yuming Ou
Metro Ridership Forecasting using Inter-Station-Aware Transformer Networks. ITSC (2023)
Bo Wang, A. K. Qin, Sajjad Shafiei, Hussein Dia, Adriana Simona Mihaita, Hanna Grzybowska
Training Physics- Informed Neural Networks via Multi-Task Optimization for Traffic Density Prediction. IJCNN (2023)
Dong Zhao, Adriana Simona Mihaita, Yuming Ou, Hanna Grzybowska
Modelling public transport disruptions and impact by smart-card data. ITSC (2023)
Bo Wang, A. K. Qin, Sajjad Shafiei, Hussein Dia, Adriana Simona Mihaita, Hanna Grzybowska
Training Physics-Informed Neural Networks via Multi-Task Optimization for Traffic Density Prediction. CoRR (2023)
Artur Grigorev, Adriana Simona Mihaita, Seunghyeon Lee, Fang Chen
Incident duration prediction using a bi-level machine learning framework with outlier removal and intra-extra joint optimisation. CoRR (2022)
Khaled Saleh, Artur Grigorev, Adriana Simona Mihaita
Traffic Accident Risk Forecasting using Contextual Vision Transformers. CoRR (2022)
Tuo Mao, Adriana Simona Mihaita, Fang Chen, Hai Le Vu
Boosted Genetic Algorithm Using Machine Learning for Traffic Control Optimization. IEEE Trans. Intell. Transp. Syst. 23 (7) (2022)
Diego M. Botín-Sanabria, Adriana Simona Mihaita, Rodrigo E. Peimbert-García, Mauricio A. Ramírez-Moreno, Ricardo A. Ramírez-Mendoza, Jorge de-J. Lozoya-Santos
Digital Twin Technology Challenges and Applications: A Comprehensive Review. Remote. Sens. 14 (6) (2022)
Artur Grigorev, Adriana Simona Mihaita, Khaled Saleh, Massimo Piccardi
Traffic incident duration prediction via a deep learning framework for text description encoding. CoRR (2022)
Khaled Saleh, Artur Grigorev, Adriana Simona Mihaita
Traffic Accident Risk Forecasting using Contextual Vision Transformers. ITSC (2022)
Khaled Saleh, Adriana Simona Mihaita, Kun Yu, Fang Chen
Real-time Attention-Augmented Spatio-Temporal Networks for Video-based Driver Activity Recognition. ITSC (2022)
Artur Grigorev, Adriana Simona Mihaita, Khaled Saleh, Massimo Piccardi
Traffic incident duration prediction via a deep learning framework for text description encoding. ITSC (2022)
Dong Zhao, Adriana Simona Mihaita, Yuming Ou, Sajjad Shafiei, Hanna Grzybowska, Kai Qin, Gary Tan, Mo Li, Hussein Dia
Traffic disruption modelling with mode shift in multi-modal networks. ITSC (2022)
Artur Grigorev, Tuo Mao, Adam Berry, Joachim Tan, Loki Purushothaman, Adriana Simona Mihaita
How will electric vehicles affect traffic congestion and energy consumption: an integrated modelling approach. ITSC (2021)
Ankit R. Patel, Gargi Trivedi, Dhaval R. Vyas, Adriana Simona Mihaita, Sanjeevikumar Padmanaban
Framework for User-Centered Access to Electric Charging Facilities via Energy-Trading Blockchain. WPMC (2021)
Tuo Mao, Adriana Simona Mihaita, Fang Chen, Hai L. Vu
Boosted Genetic Algorithm using Machine Learning for traffic control optimization. CoRR (2021)
Artur Grigorev, Tuo Mao, Adam Berry, Joachim Tan, Loki Purushothaman, Adriana Simona Mihaita
How will electric vehicles affect traffic congestion and energy consumption: an integrated modelling approach. CoRR (2021)
Adriana Simona Mihaita, Zac Papachatgis, Marian-Andrei Rizoiu
Graph modelling approaches for motorway traffic flow prediction. CoRR (2020)
Adriana Simona Mihaita, Haowen Li, Marian-Andrei Rizoiu
Traffic congestion anomaly detection and prediction using deep learning. CoRR (2020)
Adriana Simona Mihaita, Zac Papachatgis, Marian-Andrei Rizoiu
Graph modelling approaches for motorway traffic flow prediction. ITSC (2020)
Yuming Ou, Adriana Simona Mihaita, Fang Chen
Dynamic Train Demand Estimation and Passenger Assignment. ITSC (2020)
Adriana Simona Mihaita, Zheyuan Liu, Chen Cai, Marian-Andrei Rizoiu
Arterial incident duration prediction using a bi-level framework of extreme gradient-tree boosting. CoRR (2019)
Adriana Simona Mihaita, Haowen Li, Zongyang He, Marian-Andrei Rizoiu
Motorway Traffic Flow Prediction using Advanced Deep Learning. ITSC (2019)
Tuo Mao, Adriana Simona Mihaita, Chen Cai
Traffic signal control optimization under severe incident conditions using Genetic Algorithm. CoRR (2019)
Adriana Simona Mihaita, Mirian Benavides Ortiz, Mauricio Camargo, Chen Cai
Predicting Air Quality by Integrating a Mesoscopic Traffic Simulation Model and Simplified Air Pollutant Estimation Models. Int. J. Intell. Transp. Syst. Res. 17 (2) (2019)
Sajjad Shafiei, Adriana Simona Mihaita, Chen Cai
Trip Table Estimation and Prediction for Dynamic Traffic Assignment Applications. CoRR (2019)
Adriana Simona Mihaita, Haowen Li, Zongyang He, Marian-Andrei Rizoiu
Motorway Traffic Flow Prediction using Advanced Deep Learning. CoRR (2019)
Adriana Simona Mihaita, Laurent Dupont, Mauricio Camargo
Multi-objective traffic signal optimization using 3D mesoscopic simulation and evolutionary algorithms. Simul. Model. Pract. Theory 86 (2018)
Davy Monticolo, Adriana Simona Mihaita, Hind Darwich, Vincent Hilaire
An agent-based system to build project memories during engineering projects. Knowl. Based Syst. 68 (2014)