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Creators/Authors contains: "Yan, Mingxi"

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  1. ; (, IEEE)
    Full Text Available 
  2. ; (, SIMULATION)
    The increasing availability of real-time data collected from dynamic systems brings opportunities for simulation models to be calibrated online for improving the accuracy of simulation-based studies. Systematical methods are needed for assimilating real-time measurement data into simulation models. This paper presents a particle filter-based data assimilation method to support online model calibration in discrete event simulation. A joint state-parameter estimation problem is defined, and a particle filter-based data assimilation algorithm is presented. The developed method is applied to a discrete event simulation of a one-way traffic control system. Experiments results demonstrate the effectiveness of the developed method for calibrating simulation models’ parameters in real time and for improving data assimilation results. 
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    Full Text Available 
  3. ; ; ; ; ; ; (, IEEE Xplore)
    Accepted Manuscript Full Text Available