The Goal of research is that budget of maintenance were estimated in network-level bridges. We determined the life cycle of exchangeable bridge element with HBMS(Highway Bridge Management System) data and In-depth Inspection Results by the survival analysis probability model. We developed the method that predicted cost of maintenance in all of the highway bridge in korea considering a characteristics of failures.