Analysis of Monitoring Data of the Street-Road Network

The article analyzes the results obtained during the monitoring of the street-road network in 2018-2020. The technology of monitoring is described and the need for the use of mobile road laboratories is justified. The proposed approach for solving the problem of automating the monitoring of street a...

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Bibliographic Details
Main Authors: Varshavskiy, S. V., Tsesar, A. A., Vasiliev, Yu. E., Fineeva, M. A.
Format: Conference Proceeding
Language:English
Subjects:
controlled parameters
Costs
crack density
Decision support systems
density of repair charts
Laboratories
longitudinal evenness
Maintenance engineering
Roads
Software
street-road network
Structural panels
survey
transverse evenness
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Summary:The article analyzes the results obtained during the monitoring of the street-road network in 2018-2020. The technology of monitoring is described and the need for the use of mobile road laboratories is justified. The proposed approach for solving the problem of automating the monitoring of street and road network objects is reduced to finding and recording the object, as well as determining its impact on the overall condition of each section of the street and road network using the solution table and making recommendations for repair and restoration work. The results of diagnostics of the street and road network by complex of multi-criteria assessment of the operational condition of the objects of the road network "Automated Road Scanner", during which the following parameters were controlled: longitudinal evenness, transverse evenness, crack density, density of road repair charts, are presented. A comparative analysis of diagnostic results was carried out to identify the causes of deviations of controlled parameters from the normative values. Prospects for the development of information and software for the objects to be repaired are determined. The need to develop an intelligent decision support system for planning repairs is justified
ISSN:2768-0118
DOI:10.1109/IEEECONF56737.2023.10092084