Visual field monitoring of road defect and modeling of pavement road vibration from moving truck traffic

Muhammad Akram Adnan, Nor Hafizah Adnan, Norliana Sulaiman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A number of flexible pavement structures experience deterioration due to high traffic volume and growing weights. Thus, there is a need to model pavement responses due to various types of overweight truck traffic by taking into account axle loads, configuration and traffic operations in order to provide a comprehensive understanding and to assess the existing pavement performance and expected service life. The data used are from 16-hour traffic volume at these stations taken twice a year for seven years by the Highway Planning Unit (HPU) using manual counting are used to investigate the relationship between volume of heavy vehicles and the damages that occur. The empirical modeling was performed to ascertain the relationships among three parameters which are vertical vibration of ground borne vibration, vehicular speed and traffic noise generated by the movement of vehicles. As a tool to assess the performance of the pavement based on vibration index level, new approach procedure has been set up to determine the relationship between vibration index with speed, noise and pavement defect by developing three multiple linear regression model using advanced statistical software.

Original languageEnglish
Title of host publicationCHUSER 2012 - 2012 IEEE Colloquium on Humanities, Science and Engineering Research
Pages826-831
Number of pages6
DOIs
Publication statusPublished - 1 Dec 2012
Externally publishedYes
Event2012 IEEE Colloquium on Humanities, Science and Engineering Research, CHUSER 2012 - Kota Kinabalu, Sabah, Malaysia
Duration: 3 Dec 20124 Dec 2012

Publication series

NameCHUSER 2012 - 2012 IEEE Colloquium on Humanities, Science and Engineering Research

Conference

Conference2012 IEEE Colloquium on Humanities, Science and Engineering Research, CHUSER 2012
CountryMalaysia
CityKota Kinabalu, Sabah
Period3/12/124/12/12

Fingerprint

Defects
Roads
Visual Field
Monitoring
Modeling
Traffic
Damage
Linear Regression
Software
Planning
Deterioration

Keywords

  • ground borne vibration
  • heavy vehicles
  • road service life
  • traffic volume
  • vibration index

ASJC Scopus subject areas

  • Archaeology

Cite this

Adnan, M. A., Adnan, N. H., & Sulaiman, N. (2012). Visual field monitoring of road defect and modeling of pavement road vibration from moving truck traffic. In CHUSER 2012 - 2012 IEEE Colloquium on Humanities, Science and Engineering Research (pp. 826-831). [6504428] (CHUSER 2012 - 2012 IEEE Colloquium on Humanities, Science and Engineering Research). https://doi.org/10.1109/CHUSER.2012.6504428

Visual field monitoring of road defect and modeling of pavement road vibration from moving truck traffic. / Adnan, Muhammad Akram; Adnan, Nor Hafizah; Sulaiman, Norliana.

CHUSER 2012 - 2012 IEEE Colloquium on Humanities, Science and Engineering Research. 2012. p. 826-831 6504428 (CHUSER 2012 - 2012 IEEE Colloquium on Humanities, Science and Engineering Research).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Adnan, MA, Adnan, NH & Sulaiman, N 2012, Visual field monitoring of road defect and modeling of pavement road vibration from moving truck traffic. in CHUSER 2012 - 2012 IEEE Colloquium on Humanities, Science and Engineering Research., 6504428, CHUSER 2012 - 2012 IEEE Colloquium on Humanities, Science and Engineering Research, pp. 826-831, 2012 IEEE Colloquium on Humanities, Science and Engineering Research, CHUSER 2012, Kota Kinabalu, Sabah, Malaysia, 3/12/12. https://doi.org/10.1109/CHUSER.2012.6504428
Adnan MA, Adnan NH, Sulaiman N. Visual field monitoring of road defect and modeling of pavement road vibration from moving truck traffic. In CHUSER 2012 - 2012 IEEE Colloquium on Humanities, Science and Engineering Research. 2012. p. 826-831. 6504428. (CHUSER 2012 - 2012 IEEE Colloquium on Humanities, Science and Engineering Research). https://doi.org/10.1109/CHUSER.2012.6504428
Adnan, Muhammad Akram ; Adnan, Nor Hafizah ; Sulaiman, Norliana. / Visual field monitoring of road defect and modeling of pavement road vibration from moving truck traffic. CHUSER 2012 - 2012 IEEE Colloquium on Humanities, Science and Engineering Research. 2012. pp. 826-831 (CHUSER 2012 - 2012 IEEE Colloquium on Humanities, Science and Engineering Research).
@inproceedings{7bb8ac7684c94d3bbd4b07dc6cf0ff3f,
title = "Visual field monitoring of road defect and modeling of pavement road vibration from moving truck traffic",
abstract = "A number of flexible pavement structures experience deterioration due to high traffic volume and growing weights. Thus, there is a need to model pavement responses due to various types of overweight truck traffic by taking into account axle loads, configuration and traffic operations in order to provide a comprehensive understanding and to assess the existing pavement performance and expected service life. The data used are from 16-hour traffic volume at these stations taken twice a year for seven years by the Highway Planning Unit (HPU) using manual counting are used to investigate the relationship between volume of heavy vehicles and the damages that occur. The empirical modeling was performed to ascertain the relationships among three parameters which are vertical vibration of ground borne vibration, vehicular speed and traffic noise generated by the movement of vehicles. As a tool to assess the performance of the pavement based on vibration index level, new approach procedure has been set up to determine the relationship between vibration index with speed, noise and pavement defect by developing three multiple linear regression model using advanced statistical software.",
keywords = "ground borne vibration, heavy vehicles, road service life, traffic volume, vibration index",
author = "Adnan, {Muhammad Akram} and Adnan, {Nor Hafizah} and Norliana Sulaiman",
year = "2012",
month = "12",
day = "1",
doi = "10.1109/CHUSER.2012.6504428",
language = "English",
isbn = "9781467346153",
series = "CHUSER 2012 - 2012 IEEE Colloquium on Humanities, Science and Engineering Research",
pages = "826--831",
booktitle = "CHUSER 2012 - 2012 IEEE Colloquium on Humanities, Science and Engineering Research",

}

TY - GEN

T1 - Visual field monitoring of road defect and modeling of pavement road vibration from moving truck traffic

AU - Adnan, Muhammad Akram

AU - Adnan, Nor Hafizah

AU - Sulaiman, Norliana

PY - 2012/12/1

Y1 - 2012/12/1

N2 - A number of flexible pavement structures experience deterioration due to high traffic volume and growing weights. Thus, there is a need to model pavement responses due to various types of overweight truck traffic by taking into account axle loads, configuration and traffic operations in order to provide a comprehensive understanding and to assess the existing pavement performance and expected service life. The data used are from 16-hour traffic volume at these stations taken twice a year for seven years by the Highway Planning Unit (HPU) using manual counting are used to investigate the relationship between volume of heavy vehicles and the damages that occur. The empirical modeling was performed to ascertain the relationships among three parameters which are vertical vibration of ground borne vibration, vehicular speed and traffic noise generated by the movement of vehicles. As a tool to assess the performance of the pavement based on vibration index level, new approach procedure has been set up to determine the relationship between vibration index with speed, noise and pavement defect by developing three multiple linear regression model using advanced statistical software.

AB - A number of flexible pavement structures experience deterioration due to high traffic volume and growing weights. Thus, there is a need to model pavement responses due to various types of overweight truck traffic by taking into account axle loads, configuration and traffic operations in order to provide a comprehensive understanding and to assess the existing pavement performance and expected service life. The data used are from 16-hour traffic volume at these stations taken twice a year for seven years by the Highway Planning Unit (HPU) using manual counting are used to investigate the relationship between volume of heavy vehicles and the damages that occur. The empirical modeling was performed to ascertain the relationships among three parameters which are vertical vibration of ground borne vibration, vehicular speed and traffic noise generated by the movement of vehicles. As a tool to assess the performance of the pavement based on vibration index level, new approach procedure has been set up to determine the relationship between vibration index with speed, noise and pavement defect by developing three multiple linear regression model using advanced statistical software.

KW - ground borne vibration

KW - heavy vehicles

KW - road service life

KW - traffic volume

KW - vibration index

UR - http://www.scopus.com/inward/record.url?scp=84877643011&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84877643011&partnerID=8YFLogxK

U2 - 10.1109/CHUSER.2012.6504428

DO - 10.1109/CHUSER.2012.6504428

M3 - Conference contribution

AN - SCOPUS:84877643011

SN - 9781467346153

T3 - CHUSER 2012 - 2012 IEEE Colloquium on Humanities, Science and Engineering Research

SP - 826

EP - 831

BT - CHUSER 2012 - 2012 IEEE Colloquium on Humanities, Science and Engineering Research

ER -