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 #Traffic Forecasting, #smartphone data, #trajectory data, #data analysis, #machine learning
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
Effects of Driving Behavior on Fuel Consumption with Explainable Gradient Boosting Decision Trees Konstantinou, C., Fafoutellis, P., Mantouka, E. G., Chalkiadakis, C., Fortsakis, P., & Vlahogianni, E. I. 8th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), IEEE, 2023 #Transport Planning, #sustainable mobility, #machine learning, #driving behavior, #data analysis
Investigating the Importance of Connected Cooperative and Automated Mobility Towards Mitigating the Impacts of Extreme Weather Events Chalkiadakis, C., Kanavou, M., and Vlahogianni, E. 2023 8th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), 2023 #Traffic Management, #connected and autonomous vehicles, #intelligent transportation systems, #resilience, #impact assessment
Urban road network resilience metrics and their relationship: Some experimental findings C Chalkiadakis, A Perdikouris, EI Vlahogianni Case Studies on Transport Policy 10 (4), 2377-2392, 2022 #Traffic Management, #resilience, #impact assessment, #data analysis