Publications

Redefining Multimodal Microscopic Traffic Modeling with Information‐Theoretic Influence Areas and Self‐Supervised Learning

Eleni G. Mantouka, Panagiotis Fafoutellis, Eleni I. Vlahogianni

Physica A: Statistical Mechanics and its Applications, 682, Article 131151

#Traffic Modeling, #car following model, #complex interactions, #connected and autonomous vehicles, #artificial intelligence

Revisiting the Non-recurrent Traffic Incident Identification Problem for Real-Time Applications Using Theory-Aware Unsupervised Learning

Papadatou, K. Ν., Fafoutellis, P., & Vlahogianni, E. I.

Data Science for Transportation, 7(2), 12, 2025

#Traffic Forecasting, #incident detection, #traffic flow theory, #traffic monitoring, #machine learning

Quantum neural networks with data re-uploading for urban traffic time series forecasting

Schetakis, N., Bonfini, P., Alisoltani, N., Blazakis, K., Tsintzos, S. I., Askitopoulos, A., Aghamalyan, D., Fafoutellis, P. & Vlahogianni, E. I.

Scientific Reports, 15(1), 19400, 2025

#Traffic Forecasting

Mixed traffic microscopic interactions modelling in shared space using machine learning

E Mantouka, E Kampitakis, P Fafoutellis, E Vlahogianni

Advances in Transportation Studies 65, 2025

#Traffic Modeling, #shared space, #complex interactions, #data analysis, #machine learning, #explainability

A theory-informed multivariate causal framework for trustworthy short-term urban traffic forecasting

P Fafoutellis, EI Vlahogianni

Transportation Research Part C: Emerging Technologies 170, 104945, 2025

#Traffic Forecasting

Traffic demand prediction using a social multiplex networks representation on a multimodal and multisource dataset

P Fafoutellis, EI Vlahogianni

International Journal of Transportation Science and Technology 14, 171-185, 2024

#Traffic Forecasting, #multimodality, #machine learning

Urban Arterial Traffic Volume and Travel Time Estimation with Use of Data Driven Models

C Konstantinidis, C Chalkiadakis, P Fafoutellis, EI Vlahogianni

IFAC-PapersOnLine 58 (10), 102-107, 2024

Reconstructing mobility from smartphone data: Empirical evidence of the effects of COVID-19 pandemic crisis on working and leisure

V Mourtakos, EG Mantouka, P Fafoutellis, EI Vlahogianni, K Kepaptsoglou

Transport Policy 146, 241-254, 2024

#Transport Planning, #mobility patterns, #machine learning, #data analysis, #smartphone data

Unlocking the full potential of deep learning in traffic forecasting through road network representations: A critical review

P Fafoutellis, EI Vlahogianni

Data Science for Transportation 5 (3), 23, 2023

#Traffic Forecasting