Optimization of interactive evaluation of operation efficiency of the city's transport system by methods of U-statistics

TL;DR

This paper develops a real-time evaluation method for a city's transport system efficiency using U-statistics, optimized for modern high-performance computing environments.

Contribution

It formalizes a new evaluation approach based on U-statistics and proposes parallel algorithms for efficient computation on advanced hardware.

Findings

Enables real-time efficiency assessment of city transport systems.

Provides optimized parallel algorithms for large-scale data processing.

Demonstrates applicability on modern computing architectures.

Abstract

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.