Adriana Simona Mihaita

According to our database, Adriana Simona Mihaita authored at least 27 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Automatic Accident Detection, Segmentation and Duration Prediction Using Machine Learning.

Artur Grigorev, Adriana Simona Mihaita, Khaled Saleh, Fang Chen

IEEE Trans. Intell. Transp. Syst., February, 2024

Predicting the duration of traffic incidents for Sydney greater metropolitan area using machine learning methods.

Artur Grigorev, Sajjad Shafiei, Hanna Grzybowska, Adriana Simona Mihaita

CoRR, 2024

Integrating Large Language Models for Severity Classification in Traffic Incident Management: A Machine Learning Approach.

Artur Grigorev, Khaled Saleh, Yuming Ou, Adriana Simona Mihaita

CoRR, 2024

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

Proceedings of the AI 2024: Advances in Artificial Intelligence, 2024

2023

Modelling public transport disruptions and impact by smart-card data.

Dong Zhao, Adriana Simona Mihaita, Yuming Ou, Hanna Grzybowska

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Metro Ridership Forecasting using Inter-Station-Aware Transformer Networks.

Khaled Saleh, Adriana Simona Mihaita, Yuming Ou

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Traffic Accident Risk Forecasting using Contextual Vision Transformers with Static Map Generation and Coarse-Fine-Coarse Transformers.

Artur Grigorev, Khaled Saleh, Adriana Simona Mihaita

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

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

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

Boosted Genetic Algorithm Using Machine Learning for Traffic Control Optimization.

Tuo Mao, Adriana Simona Mihaita, Fang Chen, Hai Le Vu

IEEE Trans. Intell. Transp. Syst., 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

Incident duration prediction using a bi-level machine learning framework with outlier removal and intra-extra joint optimisation.

Artur Grigorev, Adriana Simona Mihaita, Seunghyeon Lee, Fang Chen

CoRR, 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

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Real-time Attention-Augmented Spatio-Temporal Networks for Video-based Driver Activity Recognition.

Khaled Saleh, Adriana Simona Mihaita, Kun Yu, Fang Chen

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Traffic Accident Risk Forecasting using Contextual Vision Transformers.

Khaled Saleh, Artur Grigorev, Adriana Simona Mihaita

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Traffic incident duration prediction via a deep learning framework for text description encoding.

Artur Grigorev, Adriana Simona Mihaita, Khaled Saleh, Massimo Piccardi

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

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

Proceedings of the 24th International Symposium on Wireless Personal Multimedia Communications, 2021

How will electric vehicles affect traffic congestion and energy consumption: an integrated modelling approach.

Artur Grigorev, Tuo Mao, Adam Berry, Joachim Tan, Loki Purushothaman, Adriana Simona Mihaita

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

2020

Traffic congestion anomaly detection and prediction using deep learning.

Adriana Simona Mihaita, Haowen Li, Marian-Andrei Rizoiu

CoRR, 2020

Dynamic Train Demand Estimation and Passenger Assignment.

Yuming Ou, Adriana Simona Mihaita, Fang Chen

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Graph modelling approaches for motorway traffic flow prediction.

Adriana Simona Mihaita, Zac Papachatgis, Marian-Andrei Rizoiu

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

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

Traffic signal control optimization under severe incident conditions using Genetic Algorithm.

Tuo Mao, Adriana Simona Mihaita, Chen Cai

CoRR, 2019

Trip Table Estimation and Prediction for Dynamic Traffic Assignment Applications.

Sajjad Shafiei, Adriana Simona Mihaita, Chen Cai

CoRR, 2019

Arterial incident duration prediction using a bi-level framework of extreme gradient-tree boosting.

Adriana Simona Mihaita, Zheyuan Liu, Chen Cai, Marian-Andrei Rizoiu

CoRR, 2019

Motorway Traffic Flow Prediction using Advanced Deep Learning.

Adriana Simona Mihaita, Haowen Li, Zongyang He, Marian-Andrei Rizoiu

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

2018

Multi-objective traffic signal optimization using 3D mesoscopic simulation and evolutionary algorithms.

Adriana Simona Mihaita, Laurent Dupont, Mauricio Camargo

Simul. Model. Pract. Theory, 2018

2014

An agent-based system to build project memories during engineering projects.

Davy Monticolo, Adriana Simona Mihaita, Hind Darwich, Vincent Hilaire

Knowl. Based Syst., 2014