High Speed Railway Degradation Modelling

高速铁路基础设施是一个复杂的系统和结构安排，除了土方、隧道、桥梁和车站等土建结构外，还包括轨道、道岔、排水、信号、供电和通信。随着新的高速铁路的建设，重要的是制定计划，确保它们是可持续的和负担得起的，以便在部件因新技术而磨损或过时时可以更新。为了能够规划续订，有必要了解所有基础设施元素是如何因时间流逝或使用而降级的。这使得能够估计何时需要更换，并且可以使用包括人工智能(AI)在内的建模方法来实现。该项目旨在开发和应用一些方法，通过这些方法，可以利用指示时间和使用情况对铁路状况的影响的数据来预测需要更新的预期时间。

High-speed railway infrastructure is a complex arrangement of systems and structures, which includes: track, switches, drainage, signalling, power supply and communications, in addition to the civil structures comprising earthworks, tunnels, bridges and stations. As new high speed railways are built, it is important that plans are in place to ensure that they are sustainable and affordable so that elements can be renewed as they wear out or become obsolete due to new technologies. To be able to plan for renewals it is necessary to understand how all the infrastructure elements degrade due to either the passage of time or use. This enables the estimation of when replacement is necessary, and can be achieved using modelling methods which include artificial intelligence (AI). This project is to develop and apply methods by which data, indicating the effects that time and usage have on the railway condition, can be used to predict the expected time that renewal will be necessary.