Traffic surveys are means of obtaining information about the traffic characteristics of an area. The data collected is used for traffic assessment of the area for various Engineering purposes. This study was an attempt to conduct a traffic assessment for the purpose of pavement design. Three design methods: Road Note 29 (RN 29), Laboratory Report 1132 (LR 1132), and Design manual for Highways and Bridges (DMHB; HD 26/01), were adopted. Three locations along the Onitsha-Enugu expressway, a Nigerian interstate highway, were surveyed. The highest volume of commercial vehicles was observed at the Nkpor location with corresponding design traffics of 108msa, 304msa, and 92.92msa using RN 29, LR 1132, and HD 26/01 respectively. Computed design traffics for Nkpor, Awkuzu, and Kwata locations using LR 1132 were 304msa, 175msa, and 167msa respectively. These were found to be significantly higher than those computed using RN 29 and HD 26/01 due to the fact that a uniform damaging factor was computed for the entire traffic count without any form of categorization or weight impact discrimination. It was concluded that the traffic assessment method to be adopted for any pavement design purpose should be consistent with the design method to be used for the selection of pavement thicknesses.
| Published in | American Journal of Traffic and Transportation Engineering (Volume 1, Issue 4) |
| DOI | 10.11648/j.ajtte.20160104.12 |
| Page(s) | 47-52 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2016. Published by Science Publishing Group |
Traffic, Assessment, Pavement, Commercial Vehicles, Design, Million Standard Axle (msa)
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APA Style
Nwakaire M. Chidozie, Chukwu C. Joshua. (2016). Traffic Assessment for Pavement Structural Design Using RN29, LR1132, and HD26/01 Methods. American Journal of Traffic and Transportation Engineering, 1(4), 47-52. https://doi.org/10.11648/j.ajtte.20160104.12
ACS Style
Nwakaire M. Chidozie; Chukwu C. Joshua. Traffic Assessment for Pavement Structural Design Using RN29, LR1132, and HD26/01 Methods. Am. J. Traffic Transp. Eng. 2016, 1(4), 47-52. doi: 10.11648/j.ajtte.20160104.12
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Download@article{10.11648/j.ajtte.20160104.12,
author = {Nwakaire M. Chidozie and Chukwu C. Joshua},
title = {Traffic Assessment for Pavement Structural Design Using RN29, LR1132, and HD26/01 Methods},
journal = {American Journal of Traffic and Transportation Engineering},
volume = {1},
number = {4},
pages = {47-52},
doi = {10.11648/j.ajtte.20160104.12},
url = {https://doi.org/10.11648/j.ajtte.20160104.12},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtte.20160104.12},
abstract = {Traffic surveys are means of obtaining information about the traffic characteristics of an area. The data collected is used for traffic assessment of the area for various Engineering purposes. This study was an attempt to conduct a traffic assessment for the purpose of pavement design. Three design methods: Road Note 29 (RN 29), Laboratory Report 1132 (LR 1132), and Design manual for Highways and Bridges (DMHB; HD 26/01), were adopted. Three locations along the Onitsha-Enugu expressway, a Nigerian interstate highway, were surveyed. The highest volume of commercial vehicles was observed at the Nkpor location with corresponding design traffics of 108msa, 304msa, and 92.92msa using RN 29, LR 1132, and HD 26/01 respectively. Computed design traffics for Nkpor, Awkuzu, and Kwata locations using LR 1132 were 304msa, 175msa, and 167msa respectively. These were found to be significantly higher than those computed using RN 29 and HD 26/01 due to the fact that a uniform damaging factor was computed for the entire traffic count without any form of categorization or weight impact discrimination. It was concluded that the traffic assessment method to be adopted for any pavement design purpose should be consistent with the design method to be used for the selection of pavement thicknesses.},
year = {2016}
}
TY - JOUR T1 - Traffic Assessment for Pavement Structural Design Using RN29, LR1132, and HD26/01 Methods AU - Nwakaire M. Chidozie AU - Chukwu C. Joshua Y1 - 2016/12/21 PY - 2016 N1 - https://doi.org/10.11648/j.ajtte.20160104.12 DO - 10.11648/j.ajtte.20160104.12 T2 - American Journal of Traffic and Transportation Engineering JF - American Journal of Traffic and Transportation Engineering JO - American Journal of Traffic and Transportation Engineering SP - 47 EP - 52 PB - Science Publishing Group SN - 2578-8604 UR - https://doi.org/10.11648/j.ajtte.20160104.12 AB - Traffic surveys are means of obtaining information about the traffic characteristics of an area. The data collected is used for traffic assessment of the area for various Engineering purposes. This study was an attempt to conduct a traffic assessment for the purpose of pavement design. Three design methods: Road Note 29 (RN 29), Laboratory Report 1132 (LR 1132), and Design manual for Highways and Bridges (DMHB; HD 26/01), were adopted. Three locations along the Onitsha-Enugu expressway, a Nigerian interstate highway, were surveyed. The highest volume of commercial vehicles was observed at the Nkpor location with corresponding design traffics of 108msa, 304msa, and 92.92msa using RN 29, LR 1132, and HD 26/01 respectively. Computed design traffics for Nkpor, Awkuzu, and Kwata locations using LR 1132 were 304msa, 175msa, and 167msa respectively. These were found to be significantly higher than those computed using RN 29 and HD 26/01 due to the fact that a uniform damaging factor was computed for the entire traffic count without any form of categorization or weight impact discrimination. It was concluded that the traffic assessment method to be adopted for any pavement design purpose should be consistent with the design method to be used for the selection of pavement thicknesses. VL - 1 IS - 4 ER -
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