machine learning - DSAIT NTUA

Projects

Enhanced Data Processing Techniques For Dynamic Management Of Multimodal Traffic

Shared Automation Operating Models for Worldwide Adoption

Publications

Understanding searching for parking behavior in urban road networks

K. Vakrinou, E. Mantouka, M. Kanatas, & E. Vlahogianni

Case Studies on Transport Policy, Volume 23, 101739, 2026

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

Revisiting the Non-recurrent Traffic Incident Identification Problem for Real-Time Applications Using Theory-Aware Unsupervised Learning

K. Papadatou, P. Fafoutellis, & E. Vlahogianni

Data Science for Transportation, 7(2), 12, 2025

Mixed traffic microscopic interactions modelling in shared space using machine learning

E. Mantouka, E. Kampitakis, P. Fafoutellis, E. Vlahogianni

Advances in Transportation Studies 65, 2025

Leveraging multisource data for οff-street parking occupancy prediction: A twofold analysis

K. Vakrinou, E. Mantouka, E. Vlahogianni

International Journal of Transportation Science and Technology, 2025

Traffic demand prediction using a social multiplex networks representation on a multimodal and multisource dataset

P. Fafoutellis, E. Vlahogianni

International Journal of Transportation Science and Technology 14, 171-185, 2024

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 Driving Behavior on Fuel Consumption with Explainable Gradient Boosting Decision Trees

C. Konstantinou, P. Fafoutellis, E. Mantouka, C. Chalkiadakis, P. Fortsakis, & E. Vlahogianni

8th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), IEEE, 2023

Empirical investigation of shared space traffic: A comparison to conventional urban road environment

P. Tzouras, K. Kepaptsoglou, E. Vlahogianni

International Journal of Transportation Science and Technology 15, 122-135, 2023

Investigating the impacts of the COVID-19 pandemic on Eco-driving behaviors

P. Fafoutellis, E. Mantouka, E. Vlahogianni, & P. Fortsakis

Safety Science, 166, 106251, 2023

Acceptability modeling of autonomous mobility on-demand services with on-board ride sharing using interpretable Machine Learning

P. Fafoutellis, E. Mantouka, E. Vlahogianni, & G. Oprea

International Journal of Transportation Science and Technology, 11(4), 752-766., 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

Temporal analysis of driving efficiency using smartphone data

D. Tselentis, E. Vlahogianni, G. Yannis

Accident Analysis & Prevention 154, 106081, 2021

Eco-driving and its impacts on fuel efficiency: An overview of technologies and data-driven methods

P. Fafoutellis, E. Mantouka, E. Vlahogianni

Sustainability 13 (1), 226, 2020

Identifying driving safety profiles from smartphone data using unsupervised learning

E. Mantouka, E. Barmpounakis, E. Vlahogianni

Safety Science 119, 84-90, 2019

Driving analytics using smartphones: Algorithms, comparisons and challenges

E. Vlahogianni, E. Barmpounakis

Transportation Research Part C: Emerging Technologies 79, 196-206, 2017

PHD Theses

Integrating the Concept of Generic Resilience in Urban Road Networks Traffic Management

Charis Chalkiadakis

2025

Cooperative Decision Making Models for Urban Road Networks

Marios Giouroukelis

2021

#machine learning