Publications

Achieving stakeholder consensus in transport: An integrated modelling approach

M. Giouroukelis, E. Mantouka, E. Vlahogianni

Research in Transportation Business & Management, 65, 101577, 2026

#Traffic Management, #consensus modeling, #stated preferences

Understanding searching for parking behavior in urban road networks

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

Case Studies on Transport Policy, Volume 23, 101739, 2026

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

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

E. Mantouka, K. Vakrinou, K. Christidis, B. Magoutas, A. Kious, & E. Vlahogianni

Sensors, 26(4), 1232. 2026

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

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

E. Mantouka, P. Fafoutellis, E. Vlahogianni

Physica A: Statistical Mechanics and its Applications, 682, Article 131151, 2025

#Traffic Modeling, #car following model, #complex interactions, #CCAM, #artificial intelligence

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

K. Katzilieris, E. Kampitakis, E. Vlahogianni

Transportation Research Part C: Emerging Technologies, 182, 105391, 2025

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

C. Chalkiadakis & E. 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

A. Bithas, E. Kampitakis, E. Vlahogianni

Transportation Letters, 18(1), 39-59, 2025

#reinforcement learning

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

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

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

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

Scientific Reports, 15(1), 19400, 2025

#Traffic Forecasting