Determination of Load Equivalency Factors by Statistical Analysis of Weigh-In-Motion Data
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 collecte...
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| Format: | Article |
| Language: | English |
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Riga Technical University Press
2016-12-01
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| Series: | The Baltic Journal of Road and Bridge Engineering |
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| Online Access: | https://bjrbe-journals.rtu.lv/article/view/3403 |
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| author | Zoltán Soós Csaba Tóth Dávid Bóka |
| author_facet | Zoltán Soós Csaba Tóth Dávid Bóka |
| author_sort | Zoltán Soós |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-8b22e85c710149e4a2fc47b7ca032dba |
| institution | Kabale University |
| issn | 1822-427X 1822-4288 |
| language | English |
| publishDate | 2016-12-01 |
| publisher | Riga Technical University Press |
| record_format | Article |
| series | The Baltic Journal of Road and Bridge Engineering |
| spelling | doaj-art-8b22e85c710149e4a2fc47b7ca032dba2024-12-02T03:07:52ZengRiga Technical University PressThe Baltic Journal of Road and Bridge Engineering1822-427X1822-42882016-12-0111410.3846/bjrbe.2016.311851Determination of Load Equivalency Factors by Statistical Analysis of Weigh-In-Motion DataZoltán Soós0Csaba Tóth1Dávid Bóka2Dept of Highway and Railway Engineering, Budapest University of Technology and Economics, Műegyetem quay 3, H–1111 Budapest, HungaryDept of Highway and Railway Engineering, Budapest University of Technology and Economics, Műegyetem quay 3, H–1111 Budapest, HungaryDept of Computer Algebra, Eötvös Loránd University, Pázmány Péter passage 1/C, H–1117 Budapest, HungaryThe 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.https://bjrbe-journals.rtu.lv/article/view/3403em algorithmload equivalency factorsmonte-carlo simulationweigh-in-motion (wim). |
| spellingShingle | Zoltán Soós Csaba Tóth Dávid Bóka Determination of Load Equivalency Factors by Statistical Analysis of Weigh-In-Motion Data The Baltic Journal of Road and Bridge Engineering em algorithm load equivalency factors monte-carlo simulation weigh-in-motion (wim). |
| title | Determination of Load Equivalency Factors by Statistical Analysis of Weigh-In-Motion Data |
| title_full | Determination of Load Equivalency Factors by Statistical Analysis of Weigh-In-Motion Data |
| title_fullStr | Determination of Load Equivalency Factors by Statistical Analysis of Weigh-In-Motion Data |
| title_full_unstemmed | Determination of Load Equivalency Factors by Statistical Analysis of Weigh-In-Motion Data |
| title_short | Determination of Load Equivalency Factors by Statistical Analysis of Weigh-In-Motion Data |
| title_sort | determination of load equivalency factors by statistical analysis of weigh in motion data |
| topic | em algorithm load equivalency factors monte-carlo simulation weigh-in-motion (wim). |
| url | https://bjrbe-journals.rtu.lv/article/view/3403 |
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