Abstract
Weigh-in-Motion (WIM) systems are used in order to reduce the number of overloaded vehicles. Data collected from WIM provide characteristics of vehicle axle loads that are crucial for pavement design as well as for the development of pavement distress prediction models. The inaccuracy of WIM data lead to erroneous estimation of traffic loads and in consequence inaccurate prediction of pavement distress process. The objective of the paper is to present a new methodology of heavy traffic axle load spectra (ALS) correction due to weighing errors (systematic and random) that occur in WIM systems. The theoretical solution which is proposed in the paper was validated successfully. The method enables correction of erroneous data to make traffic load statistics used for pavement design more reliable and precise, with no necessity to remove high number of records, as it is used in other methods. The practical meaning of the newly developed method was emphasised by analysis of the effect of relative and random error of WIM data on pavement fatigue life estimation, as well as on the estimated percentage of overloaded vehicles. Mechanistic-empirical approach (M-EPDG) was used for this purpose.
Citations
-
6
CrossRef
-
0
Web of Science
-
7
Scopus
Authors (2)
Cite as
Full text
- Publication version
- Accepted or Published Version
- DOI:
- Digital Object Identifier (open in new tab) 10.1080/10298436.2021.1915492
- License
- open in new tab
Keywords
Details
- Category:
- Articles
- Type:
- artykuły w czasopismach
- Published in:
-
International Journal of Pavement Engineering
no. 23,
pages 3706 - 3715,
ISSN: 1029-8436 - Language:
- English
- Publication year:
- 2022
- Bibliographic description:
- Ryś D., Burnos P.: Study on the accuracy of axle load spectra used for pavement design// International Journal of Pavement Engineering -Vol. 23,iss. 11 (2022), s.3706-3715
- DOI:
- Digital Object Identifier (open in new tab) 10.1080/10298436.2021.1915492
- Sources of funding:
-
- Free publication
- Verified by:
- Gdańsk University of Technology
seen 143 times