Slaven Marusic

Machine learning is providing new ways to gain valuable insights from diverse data sources. We will explore the application of machine learning to different tasks aimed at better understanding customer needs and experience within the rail setting. This will consider different means for capturing relevant data, from stakeholder interviews to passenger movement patterns. These approaches serve to measure and validate design effectiveness and even operational tasks such as crowd flow management functions.