Zoltán Soós, Csaba Tóth, Dávid Bóka - Determination of load equivalency factors by statistical analysis of weigh-in-motion data (Vol XI, No 4)

Vilnius Gediminas Technical UniversityRiga Technical UniversityTallinn University of TechnologyBaltic Road Association

 

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2015 Impact Factor: 0.519 ©2015 Thomson Reuters, 2015 Journal Citation Report®

ISSN 1822-427X print
ISSN 1822-4288 online
 

 

 
 

"The Baltic Journal of Road and Bridge Engineering"
Vilnius: Technika, 2016, Vol XI, No 4, p. 266-273


Zoltán Soós, Csaba Tóth, Dávid Bóka

Determination of load equivalency factors by statistical analysis of weigh-in-motion data

DOI: 10.3846/bjrbe.2016.31 
 
The load equivalency factors for pavement design currently in use by the Hungarian standard have been developed using Weigh-in-Motion data obtained during the first few years of operations after installing some 30 measuring sites in Hungary in 1996. In the past years, and currently, data is collected mainly at the border crossings of the country, however the data is used only for law enforcement purposes, and no comprehensive statistical analyses have been done. To develop actual load equivalency factors for the use in pavement design, data of one year was collected and statistical methods were applied. An algorithm was used to help managing the multimodal distribution of axle loads in mathematical perspectives. Monte-Carlo methods were applied to determine the factors for each heavy vehicle type and eventually for each vehicle class used by the current Hungarian pavement design manual. The calculated factors are considerably different from the current ones, indicating that the pavement design may lead to a false result. Furthermore, there are three vehicle types suggested to be incorporated into the standard due to their high occurrence.
 
Keywords: EM Algorithm, load equivalency factors, Monte-Carlo simulation, Weigh-in-Motion (WIM).

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