Iterative Calibration of VISSIM Simulator Based on Genetic Algorithm
Keywords:Vissim simulator, calibration, genetic algorithm
AbstractIn the recent decade, computer simulation has been developed enormously in all engineering fields and has become a basic step of design. Accordingly, simulation plays a fundamental role in road traffic engineering offering a basis for the effective analysis of intelligent traffic control systems. A reliable simulator is able to provide effective analysis of a given traffic network if the applied simulation scenarios properly converge to the real-word situation. This requirement can be achieved based on the mixed use of prior real-world traffic measurements and proper simulation settings. The latter one, however, is not straightforward. Accordingly, the paper proposes a potential calibration method to create true-to-life VISSIM simulations. VISSIM is one of the most popular microscopic traffic simulator, a well-known software applied in engineering and scientific practice as well. Basically, a calibration technique with genetic algorithm optimization is proposed to reproduce realistic traffic on a network based on floating car speed data.
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How to Cite
Tettamanti, T., Csikós, A., Varga, I., & Eleőd, A. (2015). Iterative Calibration of VISSIM Simulator Based on Genetic Algorithm. Acta Technica Jaurinensis, 8(2), pp. 145–152. https://doi.org/10.14513/actatechjaur.v8.n2.365
Transportation Science, Logistics and Agricultural Engineering