| Issue |
MATEC Web Conf.
Volume 262, 2019
64 Scientific Conference of the Committee for Civil Engineering of the Polish Academy of Sciences and the Science Committee of the Polish Association of Civil Engineers (PZITB) (KRYNICA 2018)
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|
|---|---|---|
| Article Number | 05012 | |
| Number of page(s) | 7 | |
| Section | Transportation Engineering | |
| DOI | https://doi.org/10.1051/matecconf/201926205012 | |
| Published online | 30 January 2019 | |
RCT – a tool for continuous road pavement diagnostics
Silesian University of Technology, Faculty of Transport, Krasińskiego 8, 40-019 Katowice, Poland
* Corresponding author: marcin.staniek@polsl.pl
The paper addresses a road pavement diagnostics solution created as a sub-module of the S-mileSys platform developed as a part the S-mile project, implemented under the “Sustainable Logistic and Supply Chain” competition of the ERANET Transport III programme. The S-mileSys solution was conceived as a means to support transport companies and their clients in planning, organisation and delivery of freight transport related services, but also to support local authorities and road administration bodies in matters related to road infrastructure maintenance and traffic management within cities or agglomerations. In principle, as typical transfers are made in connection with freight transport, the process of continuous road pavement monitoring and assessment is performed in a manner which does not involve interference of either vehicle drivers or employees of transport companies or logistics centres. The measuring system’s operation is essentially based on identification of values of linear accelerations recorded while vehicles traverse the road network. ICT solutions are used to send characteristics describing the vehicle motion dynamics, determined by the road pavement condition, to the S-mileSys system’s server, where, based on analysis of linear acceleration signals in a three-dimensional description of space and by taking GPS positioning into consideration, the current road pavement condition is estimated.
© The Authors, published by EDP Sciences, 2019
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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