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
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
Effects of controlling aggressive driving behavior on network-wide traffic flow and emissions
FK Adamidis, EG Mantouka, EI Vlahogianni
International Journal of Transportation Science and Technology 9 (3), 263-276, 2022
Smartphone sensing for understanding driving behavior: Current practice and challenges
Mantouka E., Barmpounakis E., Vlahogianni E. & Golias J
International Journal of Transportation Science and Technology10(3), 266-282, 2021
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
Identifying driving safety profiles from smartphone data using unsupervised learning
EG Mantouka, EN Barmpounakis, EI Vlahogianni
Safety Science 119, 84-90
Gamification in mobile applications: The case of airports
EG Mantouka, EN Barmpounakis, CP Milioti, EI Vlahogianni
Journal of Intelligent Transportation Systems 23 (5), 417-426
Driving analytics using smartphones: Algorithms, comparisons and challenges
EI Vlahogianni, EN Barmpounakis
Transportation Research Part C: Emerging Technologies 79, 196-206