Publications

Achieving stakeholder consensus in transport: An integrated modelling approach

Marios Giouroukelis, Eleni Mantouka, Eleni I. Vlahogianni

Research in Transportation Business & Management, 65, 101577

#Traffic Management, #consensus modeling, #stated preferences

Understanding searching for parking behavior in urban road networks

Vakrinou, K., Mantouka, E. G., Kanatas, M., & Vlahogianni, E. I.

Case Studies on Transport Policy, Volume 23, 101739

#Transport planning, #parking, #stated preferences, #machine learning, #data analysis

Automated Vehicle Traffic: A Review of Operational Challenges, Infrastructure Requirements and Research Directions

Mantouka, E. G., Vakrinou, K., Christidis, K. N., Magoutas, B., Kiousi, A., & Vlahogianni, E. I.

Sensors, 26(4), 1232.

#Transport planning, #autonomous vehicles, #physical infrastructure, #safety, #CCAM, #connected and autonomous vehicles

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, #CCAM #connected and autonomous vehicles, #artificial intelligence

A multi-agent reinforcement learning framework for integrated traffic signal control and dynamic bus lane access management

Konstantinos Katzilieris, Emmanouil Kampitakis, Eleni I. Vlahogianni

Transportation Research Part C: Emerging Technologies

From Travel Times to Lane-Based Hourly Traffic Flow: An Explainable Machine Learning Framework

Charis Chalkiadakis & Eleni I. Vlahogianni

Data Science for Transportation 7, 18, 2025

#Traffic Forecasting, #smartphone data, #trajectory data, #data analysis, #machine learning

Reinforcement Learning control in complex freeway weaving sections under mixed traffic and platoon formation

Anastasios Bithas, Emmanouil Kampitakis, Eleni I. Vlahogianni

Transportation Letters: the International Journal of Transportation Research, 2025

#reinforcement learning

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