Think about all the times you had to endure train delay because of an expected switch failure, flight cancellation due to malfunction in air traffic control, blocked or reduced speeds on road due to unexpected, unannounced repair of roads/bridges.  As a user, we expect the transport network to be efficient, reliable and available.  At the same time, transportation agencies are facing competing demands to optimally spend the limited budget and manage aging infrastructure. In this talk, I will highlight the research efforts that  addresses the challenges of infrastructure asset management by developing, implementing and validating the data-driven decision support methods. Specifically, I will present the case of automated damage detection of bridges using visual data and predicting maintenance need of railway switches using data from in-use business processes.