Track engineers face increasing cost pressure and budget restrictions in their work today. This leads to growing difficulty in legitimizing crucial maintenance and renewal measures. As a result, infrastructure managers must ensure they invest all available financial resources as sustainably and efficiently as possible. These boundary conditions require an objective tool enabling both a component-specific condition evaluation and preventive maintenance with renewal planning. The present research introduces such a tool for railway tracks based on innovative track data analyses. This tool includes time-series analyses for predicting future quality behavior. Consequently, the technical necessity of maintenance actions can be derived for every specific track section. In addition, these technical evaluations are combined with economic and operational considerations to plan reasonable maintenance lengths for different track components in the next few years. In a further step, business evaluations by means of annuity monitoring are executed to determine whether ongoing track maintenance or complete track renewal is the most economical solution. This methodology also allows calculating the economic damage caused by neglecting the ideal point in time for reinvestment. On the basis of this economic damage, it is possible to rank projects by priority in the case of insufficient budgets and to ensure that all available resources are invested in the most reasonable manner possible. Furthermore, such analyses clearly show that when a specific degradation level of railway track is reached track renewal is more economic in relation to life-cycle costs than ongoing maintenance.

轨道工程师在当今的工作中面临越来越大的成本压力和预算限制。这导致使重要的维护和更新措施合法化的难度越来越大。因此，基础架构管理者必须确保他们尽可能可持续和高效地投资所有可用的财务资源。这些边界条件需要一个客观的工具，既可以进行特定组件的条件评估，又可以通过更新计划进行预防性维护。本研究基于创新的轨道数据分析引入了这种用于铁路轨道的工具。该工具包括用于预测未来质量行为的时间序列分析。因此，可以针对每个特定的轨道部分得出维护行动的技术必要性。此外，这些技术评估结合经济和运营方面的考虑，计划在未来几年中为不同的轨道部件计划合理的维护长度。在进一步的步骤中，执行通过年金监控的业务评估，以确定正在进行的轨道维护或完整的轨道更新是否是最经济的解决方案。这种方法还可以计算由于忽视理想的再投资时间点而造成的经济损失。基于这种经济损失，可以在预算不足的情况下对项目进行优先排序，并确保以最合理的方式投资所有可用资源。此外，