Eco-driving and its impacts on fuel efficiency: An overview of technologies and data-driven methods P Fafoutellis, EG Mantouka, EI Vlahogianni Sustainability 13 (1), 226, 2020 | 71 | 2020 |
Major Limitations and Concerns Regarding the Integration of Autonomous Vehicles in Urban Transportation Systems P Fafoutellis, EG Mantouka The 4th Conference on Sustainable Urban Mobility, 739-747, 2018 | 20* | 2018 |
Acceptance of a Pay-How-You-Drive pricing scheme for city traffic: The case of Athens P Fafoutellis, EG Mantouka, EI Vlahogianni Transportation Research Part A: Policy and Practice 156, 270-284, 2022 | 15 | 2022 |
Deep survival analysis of searching for on-street parking in urban areas EG Mantouka, P Fafoutellis, EI Vlahogianni Transportation Research Part C: Emerging Technologies 128, 103173, 2021 | 15 | 2021 |
Dilated LSTM networks for short-term traffic forecasting using network-wide vehicle trajectory data P Fafoutellis, EI Vlahogianni, J Del Ser 2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020 | 12 | 2020 |
Acceptability modeling of autonomous mobility on-demand services with on-board ride sharing using interpretable machine learning P Fafoutellis, EG Mantouka, EI Vlahogianni, GM Oprea International Journal of Transportation Science and Technology 11 (4), 752-766, 2022 | 9 | 2022 |
Shared space multi-modal traffic modeling using LSTM networks with repulsion map and an intention-based multi-loss function EP Kampitakis, P Fafoutellis, GM Oprea, EI Vlahogianni Transportation Research Part C: Emerging Technologies 150, 104104, 2023 | 7 | 2023 |
Understanding user perception and feelings for autonomous mobility on demand in the COVID-19 pandemic era EG Mantouka, P Fafoutellis, EI Vlahogianni, GM Oprea Transportation Research Interdisciplinary Perspectives 16, 100692, 2022 | 6 | 2022 |
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 | 5 | 2023 |
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 | 4 | 2024 |
Enhancing lane change prediction at intersections with spatio-temporal adequacy information P Fafoutellis, J Plymenos-Papageorgas, EI Vlahogianni Journal of big data analytics in transportation 4 (1), 73-84, 2022 | 4 | 2022 |
Investigating the impacts of the COVID-19 pandemic on Eco-driving behavior P Fafoutellis, EG Mantouka, EI Vlahogianni, P Fortsakis Safety science 166, 106251, 2023 | 3 | 2023 |
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 | 2 | 2024 |
A Causal Deep Learning Framework for Traffic Forecasting P Fafoutellis, I Laña, J Del Ser, EI Vlahogianni 2023 IEEE 26th International Conference on Intelligent Transportation …, 2023 | 1 | 2023 |
Impact Assessment in the Era of Multimodality and Cooperation in Transport E Mantouka, P Fafoutellis, K Katzilieris, E Vlahogianni, ... Transportation Research Procedia 72, 3964-3971, 2023 | 1 | 2023 |
Κατανάλωση καυσίμου φορτηγών οδικών οχημάτων Π Φαφουτέλλης | 1 | 2016 |
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 | | 2025 |
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 | | 2024 |
Traffic theory inspired spatiotemporal and multimodal deep learning models for trustworthy short-term urban traffic forecasting P Fafoutellis Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ). Σχολή Πολιτικών Μηχανικών, 2024 | | 2024 |
Effects of Driving Behavior on Fuel Consumption with Explainable Gradient Boosting Decision Trees C Konstantinou, P Fafoutellis, EG Mantouka, C Chalkiadakis, P Fortsakis, ... 2023 8th International Conference on Models and Technologies for Intelligent …, 2023 | | 2023 |