The main reason for the complexity of the railway system is that it is often a mixture of components of different age and status that have to work together in a system.Replacement of components is also a continuous and ongoing process. Today the railway infrastructure is therefore like a patchwork that has to perform to higher demands. For this reason changes have to be carefully executed.Infrastructure managers must keep infrastructure highly available so that railway undertakings (train operating companies) can deliver a high quality service at affordable price to end users. Expected increases in traffic volume will impose higher utilization of existing capacity and reduce the time available for maintenance and unplanned interruptions.Maintenance must therefore be performed near capacity limits, time between asset renewals should be long enough to balance maintenance cost and acquisition cost and components replaced by deferred or planned maintenance.In summary, the key goal is to achieve availability target cost effectively, or to minimize life-cycle cost subject to availability constraints. Availability itself is a function of reliability and maintainability of a system as well as the maintenance support. It implies that for achieving high availability we need to go through reliability, maintainability, product support and service delivery approaches. It is proposed to apply RAMS (reliability, availability, maintainability and safety) analysis along with advanced statistics and decision support techniques in order to address this need. Intelligent data processing will allow understanding the real reliability characteristics of the assets to be maintained. Furthermore simulation and optimization techniques will be applied in order to adapt the maintenancestrategy so as to achieve minimum cost while guaranteeing target availability. If maintenance is organized in such a way as to minimize equipment downtime, availability will be maximized and it will be possible to extract as much capacity as possible out of existing assets. In this way, asset renewal can be postponed as much as possible, so as to minimize total life cycle cost without detriment to service quality.Therefore, the goal of proposed study is summarized as: developing a method to improve switches and crossings availability cost effectively through maintenance optimization using reliability analysis.