Stelios Peithis, “Deep Learning and artificial intelligence applications for optimized traffic and mobility performance”, PhD Thesis, School of Civil Engineering, National Technical University of Athens (November 2024-).

The doctoral dissertation aims to optimize traffic and urban mobility through the use of machine learning and the application of artificial intelligence models. In this context, technologies and methods will be utilized that allow efficient analysis of big data with a focus on improving the management of citizens’ movements. Advanced machine learning algorithms will be developed that will contribute to the prediction and optimization of traffic and mobility patterns. The research results will propose solutions for efficient management of urban transportation systems and will contribute to the creation of smart cities with sustainable, environmentally friendly, and intelligent mobility solutions.