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Faculty of Civil and Geodetic Engineering, Ljubljana (FGGLJ)
  • Improving the calibration time of VISSIM traffic simulation models using parallel computing techniques [Elektronski vir]
    Dadashzadeh, Nima ...
    Calibration procedure of traffic simulation models can be a very timeconsuming process in case of the large-scale and complex network. In the application of Evolutionary Algorithms (EA) such as ... Genetic Algorithms (GA) and Particle Swarm Optimization (PSO) for calibration of traffic simulation models, objective function evaluation is the most time-consuming step in such calibration problems, because EA has to run a traffic simulation and calculate its corresponding objective function value once for each set of parameters. The main contribution of this study has been to develop a quick calibration procedure for the parameters of driving behaviour models using EA and parallel computing techniques (PCTs). The proposed method was coded and implemented in traffic microscopic simulation software. Two scenarios with/without PCT were analyzed by developed methodology. Results of scenario analysis show that using an integrated calibration and PCT can reduce the total computational time of the optimization process significantly, in our experiments by 50%, and improve the optimization algorithm performance in such a complex optimization problem. The proposed method is useful for overcoming the limitation of computational time of the existing calibration methods and can be applied to various EAs and traffic simulation software.
    Source: Models and Technologies for Intelligent Transportation Systems (MT - ITS) 2019 [Elektronski vir]
    Type of material - conference contribution
    Publish date - 2019
    Language - english
    COBISS.SI-ID - 8915809

    Link(s):

    https://ieeexplore.ieee.org/document/8883322
    DOI

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