  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.
