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Methods for interactive evaluation of the functioning efficiency of the motor transport system for a large city based on the use of U-statistics methods has been formalized. To optimize this technique, effective algorithmic constructions for parallel execution of local, aggregated and forecasting evaluation of system components on modern computing means - multi-core computers, clusters, hybrid architectures and high-performence computing environments are proposed. The obtained scientific results allow for real-time evaluation of the efficiency for the city’s motor transport system.

生成讲解博客的中文版本

生成AI智能校验的中文版本