The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Control and monitoring for railway vehicle dynamics
Abstract
Over the last twenty to thirty years, railway vehicle dynamics has changed from being an essentially mechanical engineering discipline to one that is increasingly starting to include sensors, electronics and computer processing. This paper surveys the application of these technologies to suspensions and running gear, focused upon the complementary issues of control (which has been reviewed within Vehicle System Dynamics previously) and monitoring (which has not previously been reviewed). The theory, concepts and implementation status are assessed in each case, from which the paper identifies the key trends and concludes with a forward look at what is likely to develop over the next years.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Estimation with Applications to Tracking and Navigation: Theory, Algorithms and Software
Bar‐Shalom, Y., Li, X. ‐., & Kirubarajan, T. (2002) · doi:10.1002/0471221279 · Cited by 6,782
Cited by
Condition monitoring system for light rail vehicle and track
Firlik, B., Czechyra, B., & Chudzikiewicz, A. (2012) · Key Engineering Materials · doi:10.4028/www.scientific.net/kem.518.66 · Cited by 19
Predictive control strategies used to solve challenges related to modern railway vehicles
Ngigi, R. W., Pislaru, C., Ball, A., Gu, F., & Anyakwo, A. (2011) · 5th IET Conference on Railway Condition Monitoring and Non-Destructive Testing (RCM 2011) · doi:10.1049/cp.2011.0615 · Cited by 5
Metadata
- Authors
- Bruni, S., Goodall, R., Mei, T. X., & Tsunashima, H.
- Venue
- Vehicle System Dynamics
- Publisher
- Informa UK Limited
- Published
- 2007-06-18
- Volume
- 45
- Issue
- 7-8
- Pages
- 743-779
- ISSN
- 0042-3114 (ISSN-L)
- 1744-5159
- OpenAlex
- W1983600840
- Cited by
- 304
- References
- 1
- FWCI
- 20.72
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Control and monitoring for railway vehicle dynamics. https://app.cochat.ai/papers/10.1080/00423110701426690
- The paper
- Bruni, S., Goodall, R., Mei, T. X., & Tsunashima, H. (2007). Control and monitoring for railway vehicle dynamics. Vehicle System Dynamics. https://doi.org/10.1080/00423110701426690
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
