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
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, #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