Artificial intelligence tests for certification of autonomous vehicles H Dia, R Tay, R Kowalczyk, S Bagloee, E Vlahogianni, A Song Academia Letters 3, 2021
Dilated LSTM networks for short-term traffic forecasting using network-wide vehicle trajectory data Fafoutellis, P., Vlahogianni, E. I., & Del Ser, J. 23rd International Conference on Intelligent Transportation Systems (ITSC), IEEE, 2020 #Traffic Forecasting
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 #Traffic Modeling, #data analysis, #driving behavior, #machine learning, #sustainable mobility
A reinforcement learning model for personalized driving policies identification DM Vlachogiannis, EI Vlahogianni, J Golias International journal of transportation science and technology 9 (4), 299-308, 2020
Estimating the necessary amount of driving data for assessing driving behavior AM Stavrakaki, DI Tselentis, E Barmpounakis, EI Vlahogianni, G Yannis Sensors 20 (9), 2600, 2020
Powered two-wheeler detection using crowdsourced smartphone data E Barmpounakis, EI Vlahogianni IEEE Transactions on Intelligent Vehicles 5 (4), 575-584, 2020
Dynamic eco-driving near signalized intersections: Systematic review and future research directions E Mintsis, EI Vlahogianni, E Mitsakis Journal of Transportation Engineering, Part A: Systems 146 (4), 04020018, 2020
From Data to Actions in Intelligent Transportation Systems: A Prescription of Functional Requirements for Model Actionability I Laña Aurrecoechea, JJ Sánchez Medina, EI Vlahogianni, ... Sensors, 21(4), 1121, 2020
Driving safety efficiency benchmarking using smartphone data DI Tselentis, EI Vlahogianni, G Yannis Transportation research part C: emerging technologies 109, 343-357, 2019