Intelligence series: Machine Learning and Rail
Machine learning techniques can assist in addressing operational and maintenance issues. Train delay times can be predicted throughout the network using machine learning, thus improving route-planning and train operations. Machine learning techniques can be used to analyse historical sensor measurements to find patterns and predict potential failures, consequently reducing maintenance costs through preventative measures. In addition, image recognition systems make use of machine learning and can be applied to autonomous systems and facial recognition, reducing operational costs and protecting revenue through detecting fare evaders. Using machine learning for recommendation systems could increase revenue and enhance customer experience by streamlining the purchasing process. Tailoring web content based on their history could allow customers to quickly find a desired route.