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
Agent-based simulation model of micro-mobility trips in heterogeneous and perceived unsafe road environments PG Tzouras, L Mitropoulos, C Karolemeas, E Stravropoulou, ... Journal of Cycling and Micromobility Research 2, 100042, 2024 #Traffic Modeling, #micromobility, #safety, #road infrastructure, #agent bassed simulation
Advisory versus automated dynamic eco-driving at signalized intersections: lessons learnt from empirical evidence and simulation experiments E Mintsis, EI Vlahogianni, E Mitsakis, G Aifadopoulou Journal of Intelligent Transportation Systems 28 (6), 1044-1063, 2024
On the Connection Between Neural Activations and Uncertainty in Object Detection Transformers Using Topological Data Analysis J Del Ser, A Martinez-Seras, I Laña, MN Bilbao, P Fafoutellis, ... 2024 IEEE 27th International Conference on Intelligent Transportation …, 2024
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
An Integrated Infrastructure Resilience Approach, from the Geotechnical Asset to the Transport Network G Belokas, C Saroglou, TP Moschovou, EI Vlahogianni Eng 5 (2), 819-833, 2024
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
AI assisted dynamic bus lane control in connected urban environments: the case of intermittent dynamic bus lanes K Katzilieris, E Kampitakis, EI Vlahogianni 2023 IEEE 26th International Conference on Intelligent Transportation …, 2024 #Traffic Management, #reinforcement learning, #multimodality, #microscopic simulation, #intelligent transportation systems, #data analysis
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