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作 者:Steven Wood Jonathan D.Regehr
机构地区:[1]Transportation Division,City of Winnipeg,Winnipeg,MB R3B 1B9,Canada [2]Department of Civil Engineering,University of Manitoba,MB R3T 5V6,Canada
出 处:《Journal of Traffic and Transportation Engineering(English Edition)》2022年第2期261-279,共19页交通运输工程学报(英文版)
基 金:financial contributions of Manitoba Infrastructure and the Natural Sciences and Engineering Research Council(NSERC)of Canada(grant number RGPIN/418427-2012)。
摘 要:Axle load data are an essential input for pavement design,yet for most North American agencies,there is uncertainty about the quality of axle load data obtained from weigh-inmotion(WIM)systems,the applicability of these data for pavement design,and potential opportunities to integrate axle load data from disparate sources.This article presents a novel and practical methodology to evaluate the quality of axle load data from WIM systems and roadside weigh scales through a series of hierarchical analyses designed to test data validity.When applied using data from Manitoba,Canada,the methodology quantified the uncertainty of axle loads measured at the weigh scales and piezo-quartz WIM,concluding that both could be used for pavement design applications.Data collected at piezo-polymer WIM sites exhibited poorer data validity;however,application of site-specific temperature correction factors significantly improved data validity at these sites.The article describes how other data quality dimensions,including spatial coverage,temporal coverage,and long-term data availability,could be considered when determining the suitability of disparate axle load data sources for pavement design.Application of the methodology enables a pragmatic evaluation of the quality and limitations of commonlyavailable axle load data,revealing uncertainties and data needs relevant for pavement design practice.
关 键 词:Road engineering Pavement design Axle load WEIGH-IN-MOTION Data quality Truck traffic
分 类 号:U416.2[交通运输工程—道路与铁道工程]
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