Automatic Train Operation System for light rail and metro using a model-driven approach and Social Network Monitoring to quantify public attention on services and events

The first part of the research was conducted within the project TRACE-IT in collaboration with ECM, with the Department of Industrial Engineering of the University of Florence and the Institute of Science and Technology of the CNR Pisa. The research project deals with the study, design, development and testing of systems of protection of the train running (Automatic Train Protection, or ATC Automatic Train Control, ATC) of railway vehicles that use leading edge technologies and are applicable both in the context of interoperable European Rail System and in applications of light rail and metro. In particular, the research has focused on protection systems and automatic drive of train in the field of light rail and subway called CBTC (Communication Based Train Control). In the second part of the research activity, has designed and built a platform for scanning Social Network: for the purpose are used the Twitter API to create a database of messages. This platform is developed by DISIT Lab of the University of Florence and allows to monitor Twitter channels and slow and explosive events on Twitter. This project is the result of a collaboration between UNIFI DISIT laboratory, CNR IBIMET and LAMMA to investigate and build specific metrics and a dashboard reliable to monitor the tweets that refer to the weather.