Adriana-Simona Mihaita

Adriana-Simona Mihaita

University of Technology

H-index: 15

Asia-India

About Adriana-Simona Mihaita

Adriana-Simona Mihaita, With an exceptional h-index of 15 and a recent h-index of 13 (since 2020), a distinguished researcher at University of Technology, specializes in the field of transport modelling, machine learning, traffic simulation and optimization, connected vehicles.

His recent articles reflect a diverse array of research interests and contributions to the field:

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

Metro Ridership Forecasting using Inter-Station-Aware Transformer Networks

Modelling public transport disruptions and impact by smart-card data

Training Physics-Informed Neural Networks via Multi-Task Optimization for Traffic Density Prediction

Automatic Accident Detection, Segmentation and Duration Prediction Using Machine Learning

An integrated and cooperative architecture for multi-intersection traffic signal control

Using Machine Learning and Deep learning for traffic congestion prediction: a review

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

Adriana-Simona Mihaita Information

University

Position

Senior Lecturer FEIT

Citations(all)

809

Citations(since 2020)

751

Cited By

141

hIndex(all)

15

hIndex(since 2020)

13

i10Index(all)

20

i10Index(since 2020)

17

Email

University Profile Page

University of Technology

Google Scholar

View Google Scholar Profile

Adriana-Simona Mihaita Skills & Research Interests

transport modelling

machine learning

traffic simulation and optimization

connected vehicles

Top articles of Adriana-Simona Mihaita

Title

Journal

Author(s)

Publication Date

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

arXiv preprint arXiv:2403.13547

Artur Grigorev

Khaled Saleh

Yuming Ou

Adriana-Simona Mihaita

2024/3/20

Metro Ridership Forecasting using Inter-Station-Aware Transformer Networks

Khaled Saleh

Adriana-Simona Mihaita

Yuming Ou

2023/9/28

Modelling public transport disruptions and impact by smart-card data

Dong Zhao

Adriana-Simona Mihăiţă

Yuming Ou

Hanna Grzybowska

2023/9/24

Training Physics-Informed Neural Networks via Multi-Task Optimization for Traffic Density Prediction

Bo Wang

AK Qin

Sajjad Shafiei

Hussein Dia

Adriana-Simona Mihaita

...

2023/6/18

Automatic Accident Detection, Segmentation and Duration Prediction Using Machine Learning

IEEE Transactions on Intelligent Transportation Systems 2023

Artur Grigorev

Adriana-Simona Mihăiţă

Khaled Saleh

Fang Chen

2023/10/18

An integrated and cooperative architecture for multi-intersection traffic signal control

Digital Transportation and Safety

Qiang Wu

Jianqing Wu

Bojian Kang

Bo Du

Jun Shen

...

2023

Using Machine Learning and Deep learning for traffic congestion prediction: a review

Adriana-Simona Mihaita

Zhulin Li

Harshpreet Singh

Nabin Sharma

Mao Tuo

...

2023/10/13

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

Artur Grigorev

Khaled Saleh

Adriana-Simona Mihaita

2023/9/28

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

Proc. of the 2022 IEEE Intelligent Transport Systems Conference, Macau, China

Khaled Saleh

Adriana-Simona Mihaita

Kun Yu

Fang Chen

2022/10/8

Multi-Modal Demand Estimation for Public Transport Via a Weighted Graph and Traffic Features Integration

Available at SSRN 4291476

Dong Zhao

Adriana-Simona Mihăiţă

Yuming Ou

Hanna Grzybowska

Mo Li

2022

Transport multi-mode choice prediction using a hybrid multi-output regression modelling

Tuo Mao

Seunghyeon Lee

Yuming Ou

Adriana-Simona Mihaita

2022

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

Transportation research part C: emerging technologies

Artur Grigorev

Adriana-Simona Mihaita

Seunghyeon Lee

Fang Chen

2022/8/1

Integrating data-driven and simulation models to predict traffic state affected by road incidents

Transportation letters

Sajjad Shafiei

Adriana-Simona Mihăiţă

Hoang Nguyen

Chen Cai

2022/7/3

Big data processing and analysis on the impact of COVID-19 on public transport delay

Yuming Ou

Adriana-Simona Mihăiţă

Fang Chen

2022/1/1

Multi-objective modelling of a roadside mowing problem: a case study in France

Adriana-Simona Mihaita

Brunelle Marche

Mauricio Camargo

Iman Rahimi

Chirstophe Bachmann

2022/6/19

Traffic disruption modelling with mode shift in multi-modal networks

Proc. of the 2022 IEEE Intelligent Transport Systems Conference, Macau, China

Dong Zhao

Adriana-Simona Mihaita

Yuming Ou

Sajjad Shafiei

Hanna Grzybowska

...

2022/10/8

Digital twin technology challenges and applications: A comprehensive review

Diego M Botín-Sanabria

Adriana-Simona Mihaita

Rodrigo E Peimbert-García

Mauricio A Ramírez-Moreno

Ricardo A Ramírez-Mendoza

...

2022/3/9

Boosted genetic algorithm using machine learning for traffic control optimization

IEEE Transactions on Intelligent Transportation Systems

Tuo Mao

Adriana-Simona Mihăită

Fang Chen

Hai L Vu

2021/4/19

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

2021/12/14

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

Artur Grigorev

Tuo Mao

Adam Berry

Joachim Tan

Loki Purushothaman

...

2021/9/19

See List of Professors in Adriana-Simona Mihaita University(University of Technology)

Co-Authors

H-index: 54
Fang Chen

Fang Chen

University of Technology

H-index: 42
Hai L. Vu

Hai L. Vu

Monash University

H-index: 35
Mauricio Camargo

Mauricio Camargo

Université de Lorraine

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