In railways, using a track- and ride-quality monitoring system on in-service train has become desirable for coordination and security. Identification of the track- or train-related rough rides via train crew can be estimated to the nearest kilometre. However, if the train is equipped with a monitoring system a better location and track quality evaluation can be provided. These systems commonly use information such as GNSS and/or an odometer to provide location information. This work proposes a practical method for track alignment estimation using real data from an in-cab inertial measurement system and using also a novel method based on crosslevel variations. The speed estimation is done through speed-related harmonics detected on inertial sensors, which depend on speed and track characteristics; and distance correction is provided by comparing crosslevel derived from inertial sensors and a reference track geometry. The effectiveness and accuracy of the method is demonstrated with data collected between London and Ashford.

在铁路中，在运行列车上使用轨道和行驶质量监控系统已成为协调和安全的理想选择。通过列车工作人员识别与轨道或火车相关的崎岖不平可以估计到最近的公里。但是，如果列车配备了监控系统，则可以提供更好的位置和轨道质量评估。这些系统通常使用诸如 GNSS 和/或里程表之类的信息来提供位置信息。这项工作提出了一种实用的轨道对齐估计方法，该方法使用来自驾驶室内惯性测量系统的真实数据以及一种基于跨层变化的新方法。速度估计是通过在惯性传感器上检测到的与速度相关的谐波来完成的，这些谐波取决于速度和轨道特性；距离校正是通过比较从惯性传感器和参考轨道几何得出的交叉水平面来提供的。伦敦和阿什福德之间收集的数据证明了该方法的有效性和准确性。