A hybrid stochastic approach for offline train trajectory reconstruction-Reference-Cited by-同舟云学术

A hybrid stochastic approach for offline train trajectory reconstruction

Published:2020-03-10 Issue:3 Volume:13 Page:675-698
ISSN:1866-749X
Container-title:Public Transport
language:en
Short-container-title:Public Transp

Author:

Sessa Pier Giuseppe,De Martinis Valerio^ORCID,Bomhauer-Beins Axel,Weidmann Ulrich Alois,Corman Francesco

Publisher

Springer Science and Business Media LLC

Subject

Management Science and Operations Research,Mechanical Engineering,Transportation,Information Systems

Link

https://link.springer.com/content/pdf/10.1007/s12469-020-00230-4.pdf

Reference41 articles.

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3. Bešinović N, Quaglietta E, Goverde RMP (2013) A simulation-based optimization approach for the calibration of dynamic train speed profiles. J Rail Transp Plan Manag 3(4):126–136. https://doi.org/10.1016/j.jrtpm.2013.10.008

4. Colceriu VD, Ştefǎnut T, Bâcu V, Gorgan D (2015). Generating accuracy and integrity aware train movement maps using GNSS and MEMS sensors. In: 2015 IEEE international conference on intelligent computer communication and processing (ICCP), pp 441–446. https://doi.org/10.1109/iccp.2015.7312699

5. Corman F, Quaglietta E (2015) Closing the loop in real-time railway control: framework design and impacts on operations. Transp Res Part C Emerg Technol 54:15–39. https://doi.org/10.1016/j.trc.2015.01.014

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