Real-time train motion parameter estimation using an Unscented Kalman Filter

Author:

Cunillera AlexORCID,Bešinović Nikola,van Oort Niels,Goverde Rob M.P.ORCID

Publisher

Elsevier BV

Subject

Management Science and Operations Research,Transportation,Automotive Engineering,Civil and Structural Engineering

Reference21 articles.

1. Unscented Kalman filter for vehicle state estimation;Antonov;Veh. Syst. Dyn.,2011

2. A simulation-based optimization approach for the calibration of dynamic train speed profiles;Bešinović;J. Rail Transp. Plan. Manag.,2013

3. Data-driven perspectives for energy efficient operations in railway systems: Current practices and future opportunities;De Martinis;Transp. Res. C,2018

4. Online microscopic calibration of train motion models: towards the era of customized control solutions;De Martinis,2019

5. Recent applications of big data analytics in railway transportation systems: A survey;Ghofrani;Transp. Res. C,2018

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