Розмір шрифта:
PARALLEL OPTIMIZATION OF A MULTIDIMENSIONAL TENSOR MODEL OF PASSENGER FLOW WITH FUZZY PARAMETERS
Остання редакція: 2026-02-27
Анотація
The paper examines the problem of exponential growth in computational complexity arising in the modeling of vehicle occupancy on urban routes using fuzzy sets. It is shown that discretization of variable universes leads to the formation of Cartesian products of sets at each calculation step. A comparison between iterative and recursive approaches to algorithm implementation is conducted, and the inefficiency of recursion under a large number of function calls is substantiated. The use of parallel decomposition of computations across independent subsets of values is proposed. The obtained results confirm the feasibility and effectiveness of applying parallel computing techniques to transport modeling tasks with fuzzy parameters.
Ключові слова
software engineering; fuzzy logic; parallel decomposition; transport technologies
Посилання
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Morgan Kaufmann, 2019., 1527.
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