A microscale evaluation of pavement roughness effects for asset management

In this paper, the authors present a method to automate data collection and mapping of pavement roughness on various functional classification roadways and to quantify fuel consumption for enhanced benefit-to-cost analysis, asset management and infrastructure investment strategies. A new low-cost an...

Full description

Saved in:
Bibliographic Details
Published in:The international journal of pavement engineering 2014-04, Vol.15 (4), p.323-333
Main Authors: El Khoury, John, Akle, Barbar, Katicha, Samer, Ghaddar, Ahmad, Daou, Makram
Format: Article
Language:English
Subjects:
Acceleration
Asphalt pavements
Asset management
Classification
Effects
Energy consumption
Fuel consumption
Fuels
pavement roughness
Pavements
pothole identification
Roads
Roads & highways
Roadways
Roughness
Surface roughness
vertical acceleration
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c396t-88eee3669cc1a62b4aca08440723c77d2c340e0fd7f8c609fd69ef8ff611b5b43
cites cdi_FETCH-LOGICAL-c396t-88eee3669cc1a62b4aca08440723c77d2c340e0fd7f8c609fd69ef8ff611b5b43
container_end_page 333
container_issue 4
container_start_page 323
container_title The international journal of pavement engineering
container_volume 15
creator El Khoury, John
Akle, Barbar
Katicha, Samer
Ghaddar, Ahmad
Daou, Makram
description In this paper, the authors present a method to automate data collection and mapping of pavement roughness on various functional classification roadways and to quantify fuel consumption for enhanced benefit-to-cost analysis, asset management and infrastructure investment strategies. A new low-cost and efficient technology is presented to measure and contrast vehicles' vertical accelerations over smooth and rough pavement sections. Fuel consumption is then correlated with the vehicle's vertical acceleration over both pavement conditions. The results of the study validate the relationship between acceleration/road roughness and fuel consumption. Finally, using the described technology, a pothole detection algorithm is devised to automatically map road roughness, a step towards a better asset management system.
doi_str_mv 10.1080/10298436.2013.792930
format article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_crossref_primary_10_1080_10298436_2013_792930</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3232882001</sourcerecordid><originalsourceid>FETCH-LOGICAL-c396t-88eee3669cc1a62b4aca08440723c77d2c340e0fd7f8c609fd69ef8ff611b5b43</originalsourceid><addsrcrecordid>eNp90D1PwzAQgOEIgUQp_AMGSywsKXe26yQTqio-VYkFJDbLdc8lVRIXOwH135NQWBiYfMNzJ-tNknOECUIOVwi8yKVQEw4oJlnBCwEHyQhllqVc5a-H_dyTdDDHyUmMGwCOCGKUPM5YXdrgozUVMfowVWfa0jfMO7Y1H1RT07Lgu_VbQzEyco5sG5nzgZkYqWW1acz6m50mR85Ukc5-3nHycnvzPL9PF093D_PZIrWiUG2a50QklCqsRaP4UhprIJcSMi5slq24FRII3CpzuVVQuJUqyOXOKcTldCnFOLnc390G_95RbHVdRktVZRryXdQ4RSEzFBx6evGHbnwXmv53vQKBfIoceyX3augQAzm9DWVtwk4j6CGw_g2sh8B6H7hfu96vlU2fozafPlQr3Zpd5YMLprFl1OLfC1-u-IGP</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1503125121</pqid></control><display><type>article</type><title>A microscale evaluation of pavement roughness effects for asset management</title><source>Taylor and Francis Science and Technology Collection</source><creator>El Khoury, John ; Akle, Barbar ; Katicha, Samer ; Ghaddar, Ahmad ; Daou, Makram</creator><creatorcontrib>El Khoury, John ; Akle, Barbar ; Katicha, Samer ; Ghaddar, Ahmad ; Daou, Makram</creatorcontrib><description>In this paper, the authors present a method to automate data collection and mapping of pavement roughness on various functional classification roadways and to quantify fuel consumption for enhanced benefit-to-cost analysis, asset management and infrastructure investment strategies. A new low-cost and efficient technology is presented to measure and contrast vehicles' vertical accelerations over smooth and rough pavement sections. Fuel consumption is then correlated with the vehicle's vertical acceleration over both pavement conditions. The results of the study validate the relationship between acceleration/road roughness and fuel consumption. Finally, using the described technology, a pothole detection algorithm is devised to automatically map road roughness, a step towards a better asset management system.</description><identifier>ISSN: 1029-8436</identifier><identifier>EISSN: 1477-268X</identifier><identifier>DOI: 10.1080/10298436.2013.792930</identifier><language>eng</language><publisher>Abingdon: Taylor &amp; Francis</publisher><subject>Acceleration ; Asphalt pavements ; Asset management ; Classification ; Effects ; Energy consumption ; Fuel consumption ; Fuels ; pavement roughness ; Pavements ; pothole identification ; Roads ; Roads &amp; highways ; Roadways ; Roughness ; Surface roughness ; vertical acceleration</subject><ispartof>The international journal of pavement engineering, 2014-04, Vol.15 (4), p.323-333</ispartof><rights>2013 Taylor &amp; Francis 2014</rights><rights>Copyright Taylor &amp; Francis Group 2014</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c396t-88eee3669cc1a62b4aca08440723c77d2c340e0fd7f8c609fd69ef8ff611b5b43</citedby><cites>FETCH-LOGICAL-c396t-88eee3669cc1a62b4aca08440723c77d2c340e0fd7f8c609fd69ef8ff611b5b43</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>El Khoury, John</creatorcontrib><creatorcontrib>Akle, Barbar</creatorcontrib><creatorcontrib>Katicha, Samer</creatorcontrib><creatorcontrib>Ghaddar, Ahmad</creatorcontrib><creatorcontrib>Daou, Makram</creatorcontrib><title>A microscale evaluation of pavement roughness effects for asset management</title><title>The international journal of pavement engineering</title><description>In this paper, the authors present a method to automate data collection and mapping of pavement roughness on various functional classification roadways and to quantify fuel consumption for enhanced benefit-to-cost analysis, asset management and infrastructure investment strategies. A new low-cost and efficient technology is presented to measure and contrast vehicles' vertical accelerations over smooth and rough pavement sections. Fuel consumption is then correlated with the vehicle's vertical acceleration over both pavement conditions. The results of the study validate the relationship between acceleration/road roughness and fuel consumption. Finally, using the described technology, a pothole detection algorithm is devised to automatically map road roughness, a step towards a better asset management system.</description><subject>Acceleration</subject><subject>Asphalt pavements</subject><subject>Asset management</subject><subject>Classification</subject><subject>Effects</subject><subject>Energy consumption</subject><subject>Fuel consumption</subject><subject>Fuels</subject><subject>pavement roughness</subject><subject>Pavements</subject><subject>pothole identification</subject><subject>Roads</subject><subject>Roads &amp; highways</subject><subject>Roadways</subject><subject>Roughness</subject><subject>Surface roughness</subject><subject>vertical acceleration</subject><issn>1029-8436</issn><issn>1477-268X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><recordid>eNp90D1PwzAQgOEIgUQp_AMGSywsKXe26yQTqio-VYkFJDbLdc8lVRIXOwH135NQWBiYfMNzJ-tNknOECUIOVwi8yKVQEw4oJlnBCwEHyQhllqVc5a-H_dyTdDDHyUmMGwCOCGKUPM5YXdrgozUVMfowVWfa0jfMO7Y1H1RT07Lgu_VbQzEyco5sG5nzgZkYqWW1acz6m50mR85Ukc5-3nHycnvzPL9PF093D_PZIrWiUG2a50QklCqsRaP4UhprIJcSMi5slq24FRII3CpzuVVQuJUqyOXOKcTldCnFOLnc390G_95RbHVdRktVZRryXdQ4RSEzFBx6evGHbnwXmv53vQKBfIoceyX3augQAzm9DWVtwk4j6CGw_g2sh8B6H7hfu96vlU2fozafPlQr3Zpd5YMLprFl1OLfC1-u-IGP</recordid><startdate>20140421</startdate><enddate>20140421</enddate><creator>El Khoury, John</creator><creator>Akle, Barbar</creator><creator>Katicha, Samer</creator><creator>Ghaddar, Ahmad</creator><creator>Daou, Makram</creator><general>Taylor &amp; Francis</general><general>Taylor &amp; Francis LLC</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope></search><sort><creationdate>20140421</creationdate><title>A microscale evaluation of pavement roughness effects for asset management</title><author>El Khoury, John ; Akle, Barbar ; Katicha, Samer ; Ghaddar, Ahmad ; Daou, Makram</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c396t-88eee3669cc1a62b4aca08440723c77d2c340e0fd7f8c609fd69ef8ff611b5b43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Acceleration</topic><topic>Asphalt pavements</topic><topic>Asset management</topic><topic>Classification</topic><topic>Effects</topic><topic>Energy consumption</topic><topic>Fuel consumption</topic><topic>Fuels</topic><topic>pavement roughness</topic><topic>Pavements</topic><topic>pothole identification</topic><topic>Roads</topic><topic>Roads &amp; highways</topic><topic>Roadways</topic><topic>Roughness</topic><topic>Surface roughness</topic><topic>vertical acceleration</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>El Khoury, John</creatorcontrib><creatorcontrib>Akle, Barbar</creatorcontrib><creatorcontrib>Katicha, Samer</creatorcontrib><creatorcontrib>Ghaddar, Ahmad</creatorcontrib><creatorcontrib>Daou, Makram</creatorcontrib><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><jtitle>The international journal of pavement engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>El Khoury, John</au><au>Akle, Barbar</au><au>Katicha, Samer</au><au>Ghaddar, Ahmad</au><au>Daou, Makram</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A microscale evaluation of pavement roughness effects for asset management</atitle><jtitle>The international journal of pavement engineering</jtitle><date>2014-04-21</date><risdate>2014</risdate><volume>15</volume><issue>4</issue><spage>323</spage><epage>333</epage><pages>323-333</pages><issn>1029-8436</issn><eissn>1477-268X</eissn><abstract>In this paper, the authors present a method to automate data collection and mapping of pavement roughness on various functional classification roadways and to quantify fuel consumption for enhanced benefit-to-cost analysis, asset management and infrastructure investment strategies. A new low-cost and efficient technology is presented to measure and contrast vehicles' vertical accelerations over smooth and rough pavement sections. Fuel consumption is then correlated with the vehicle's vertical acceleration over both pavement conditions. The results of the study validate the relationship between acceleration/road roughness and fuel consumption. Finally, using the described technology, a pothole detection algorithm is devised to automatically map road roughness, a step towards a better asset management system.</abstract><cop>Abingdon</cop><pub>Taylor &amp; Francis</pub><doi>10.1080/10298436.2013.792930</doi><tpages>11</tpages></addata></record>
fulltext fulltext
identifier ISSN: 1029-8436
ispartof The international journal of pavement engineering, 2014-04, Vol.15 (4), p.323-333
issn 1029-8436
1477-268X
language eng
recordid cdi_crossref_primary_10_1080_10298436_2013_792930
source Taylor and Francis Science and Technology Collection
subjects Acceleration
Asphalt pavements
Asset management
Classification
Effects
Energy consumption
Fuel consumption
Fuels
pavement roughness
Pavements
pothole identification
Roads
Roads & highways
Roadways
Roughness
Surface roughness
vertical acceleration
title A microscale evaluation of pavement roughness effects for asset management
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-29T16%3A18%3A40IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20microscale%20evaluation%20of%20pavement%20roughness%20effects%20for%20asset%20management&rft.jtitle=The%20international%20journal%20of%20pavement%20engineering&rft.au=El%20Khoury,%20John&rft.date=2014-04-21&rft.volume=15&rft.issue=4&rft.spage=323&rft.epage=333&rft.pages=323-333&rft.issn=1029-8436&rft.eissn=1477-268X&rft_id=info:doi/10.1080/10298436.2013.792930&rft_dat=%3Cproquest_cross%3E3232882001%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c396t-88eee3669cc1a62b4aca08440723c77d2c340e0fd7f8c609fd69ef8ff611b5b43%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1503125121&rft_id=info:pmid/&rfr_iscdi=true