| 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 cyber-physical system are possible provided that a diagnostic technology is created for transport infrastructure facilities, including video-based road conditions. The authors' 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 approach can be used in the planning of road repairs, in the analysis of road accidents, in the processing of applications of road users, etc. #CSOC1120 Please, keep this hash tag for conference identification. © 2021 Elsevier B.V.. All rights reserved. |
