Abstract

The implementation of plans to create "smart cities" as one of the most important areas of the digital economy requires the priority development of transport infrastructure, ensuring the movement of people and goods within the city and adjacent territories. Safe operation and maximum throughput of the resulting cyberphysical system are possible provided that a diagnostic technology is created for transport infrastructure facilities, including video-based road conditions. The author's vision of the problems of mathematical modeling of cyber-physical systems in transport is presented as a three-level hierarchical structure, including environmental sensors at the lower level, data processing centers (DPC) at the middle level and a single data storage center for developing management decisions at the upper level. Prospects for data center modeling based on a multi-agent approach and a technical vision algorithm that is proposed to be implemented as a program on a mobile device to identify objects of transport infrastructure and their defects using stereometry are explored. The presented algorithm can be used in the planning of road repairs and buildings construction, in the analysis of road and buildings' accidents by expert engineers, in the processing of applications of inhabitants’ complaints, etc.

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