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
Reconstructing mobility from smartphone data: Empirical evidence of the effects of COVID-19 pandemic crisis on working and leisure
V. Mourtakos, E. Mantouka, P. Fafoutellis, E. Vlahogianni, K. Kepaptsoglou
Transport Policy 146, 241-254, 2024
Effects of controlling aggressive driving behavior on network-wide traffic flow and emissions
F. Adamidis, E. Mantouka, E. Vlahogianni
International Journal of Transportation Science and Technology 9 (3), 263-276, 2022
Smartphone sensing for understanding driving behavior: Current practice and challenges
E. Mantouka, E. Barmpounakis, E. Vlahogianni & J. Golias
International journal of transportation science and technology, 10(3), 266-282., 2021
Deep survival analysis of searching for on-street parking in urban areas
E. Mantouka, P. Fafoutellis, E. Vlahogianni
Transportation Research Part C: Emerging Technologies 128, 103173, 2021
Identifying driving safety profiles from smartphone data using unsupervised learning
E. Mantouka, E. Barmpounakis, E. Vlahogianni
Safety Science 119, 84-90, 2019
Gamification in mobile applications: The case of airports
E. Mantouka, E. Barmpounakis, C. Milioti, E. Vlahogianni
Journal of Intelligent Transportation Systems 23 (5), 417-426, 2019
Driving analytics using smartphones: Algorithms, comparisons and challenges
E. Vlahogianni, E. Barmpounakis
Transportation Research Part C: Emerging Technologies 79, 196-206, 2017