Ricerca: Unsupervised Decision Support Systems for Transportation Demand Management applications.
Arif is studying Ph.D. Course in Infrastructures and Transport provided by the Sapienza University of Rome. He is interested in a broad range of topics related to Mode Choice estimation models, Travel Behaviour Models generally, and different subfields related to Transportation Demand Management.
He majors in several programming languages, including C#, Python, Java, and Javascript. Currently, his work is concentrated on developing the software for providing encouragement strategies within the existing TDM software toolset in Movesion Srl company. Along with this practical application, he is researching Decision Support Models for Transport Demand Management to support authorities with the appropriate set of measures regarding different demand scenarios.