Experimental Study on the Potential of Vehicle’s Attitude Response to Railway Track Irregularity in Precise Train Localization

Chen, Qijin; Zhou, Yukun; Fang, Bole; Zhang, Quan; Niu, Xiaoji

doi:10.1109/tits.2022.3174884

Cited by 5 publications

(2 citation statements)

References 27 publications

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“…Besides, the randomly occurred wheel slip and slide, 1,7 which is related to the condition of wheel-rail contact, can also contribute to positional errors. On the other hand, GNSS signals are sensitive to noises, propagation errors, jamming, spoofing 12 and typically unavailable in the tunnel, 5,14 thus leading to systematic uncertainties and a coarse positioning accuracy of ±5 m. 15 Moreover, GNSS and RFID positioning are also highly dependent on the accuracy and reliability of the positioning dataset, which contains the relationship between the GNSS/RFID signal and the predefined referential position. Additionally, the miss operation of on-board operators and the malfunction of the inspection system also account for the positional deviations.…”

Section: On-board Positioning Synchronization System and Positional E...mentioning

confidence: 99%

Similarity based position calibration for multisource track inspection data

Liu

Zhang

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part F:

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Track geometry inspection data have long endured positional errors and shifts, hindering the quality evaluation, deterioration analysis and maintenance work of railway track. Besides, vehicle response inspection data are also typically misaligned or shifted from each other, but it tends to be ignored by people. In light of this situation, a position calibration method on the basis of a simple similarity metric, i.e. correlation coefficient, is proposed to tackle the positional errors and shifts among multisource track inspection data concurrently. For the convenience of practical implementation, a scheme containing three parts is designed to fulfil the purpose and a two-step procedure is adopted by all the three parts. According to the performance test on a dataset containing five inspection runs of a high-speed railway in China, the positional error between inspection data and actual locations can be greatly diminished, and the data inspected at different times and from different sources are well aligned with each other, with a time consumption of 0.66 s on average for a 1 km segment.

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Section: On-board Positioning Synchronization System and Positional E...mentioning

confidence: 99%

Similarity based position calibration for multisource track inspection data

Liu

Zhang

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part F:

View full text Add to dashboard Cite

show abstract

“…Focusing also on train location and using the potential repeatability of indirect measurements of track irregularity, (CHEN et al, 2022) Another alternative for an implicit characterization approach is considering a safety index since track features and irregularities condition derailment risk. In this regard, it is crucial to establish the distinction between comfort and safety assessments.…”

Section: Implicit Approachmentioning

confidence: 99%