Liu, Mingbo (Tongji University), Zeng, Guofeng (Tongji University), Han, Ziping (Tongji University), Liang, Xin (CRRC .Qingdao Sifang Co., Ltd.)

Regularized Integration for Low-Speed Track Irregularity Measurement in EMS Maglev System

Scheduled for presentation during the Regular Session "S13b-Localization, Mapping, and Sensing for Robust Navigation in ITS" (WE-EA-T13), Wednesday, November 19, 2025, 13:30−13:50, Stradbroke

2025 IEEE 28th International Conference on Intelligent Transportation Systems (ITSC), November 18-21, 2025, Gold Coast, Australia

This information is tentative and subject to change. Compiled on October 19, 2025

Abstract

Track irregularities are a critical factor affecting the safety and stable operation of high-speed maglev systems. Track irregularities not only lead to unstable vehicle motion but also impact passenger comfort. Therefore, track irregularity measurement is crucial for ensuring efficient and safe operation. However, under low-speed onboard inspection conditions, traditional inertial-based methods for track irregularities face several challenges. Due to low signal-to-noise ratios and interference from system characteristics, existing methods struggle to provide precise and reliable track irregularity data. To overcome these limitations, this paper proposes a noise-robust integration method. The method employs frequency-domain regularization techniques to suppress signal drift and modal amplification while preserving key features of the track's structural response. By reducing the influence of interfering factors, it ensures the accuracy and robustness of track irregularity reconstruction, making it suitable for low-speed onboard inspection environments. To validate the proposed method, sensitivity evaluations of control parameters and external noise were conducted using a single bogie model, along with low-speed operational measurement data.