00978588

Component

https://doi.org/10.3141/1870-15

http://scholar.google.com...iser&publication_year=2004

Accurate traffic data are vital to the success of the Long-Term Pavement Performance (LTPP) program. To minimize dynamic motions and therefore improve the accuracy of traffic loading data at weigh-in-motion (WIM) scales, pavement smoothness specifications were developed to screen sites for excessive truck dynamic loading that exacerbates scale error beyond ASTM recommended tolerances. WIM scale error was related to pavement profile characteristics by using a large simulation study of the response of virtual trucks over measured profiles. A distribution of error was compiled over the truck population for steer axle, tandem axle, and total vehicle weight at each site. The error distributions were summarized by their 95th percentile absolute error levels. The error levels assigned to each site were then used as a correlation standard for the proposed roughness indices and for the selection of corresponding threshold values. Instead of a single index, two versions of the Butterworth filter were selected for use in the specifications. One addresses short-range roughness and the other long-range roughness. The short- and long-range WIM error indices were then statistically related to WIM scale error to set the threshold values. An overview is presented of the development of the pavement smoothness specifications, including indices and threshold values.

This paper appears in Transportation Research Record No. 1870, Data and Information Technology.

00978573

English

p. 116-123

2004

Transportation Research Record

030909464X

Figures (5) ; References (9) ; Tables (4)

Accuracy; Errors; Pavements; Roughness; Smoothness; Specifications; Traffic data; Weigh in motion; Weigh in motion scales

Long-Term Pavement Performance Program

Threshold values

Design; Highways; Pavements; I22: Design of Pavements, Railways and Guideways; I23: Properties of Road Surfaces

TRIS, TRB, ATRI

Sep 29 2004 12:00AM

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• COMPARISON OF PORTABLE SPEED MEASUREMENT DEVICES
• DATA PARTNERING BETWEEN TRANSPORTATION AGENCIES FOR MUTUAL BENEFIT: THE ILLINOIS EXPERIENCE
• DEFINING AND MEASURING TRAFFIC DATA QUALITY: WHITE PAPER ON RECOMMENDED APPROACHES
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• ESTIMATING ELIGIBILITY RATES: CRUCIAL COMPONENT OF THE CALCULATION FOR RESPONSE RATES
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• INVESTIGATION OF DYNAMIC PROBE SAMPLE REQUIREMENTS FOR TRAFFIC CONDITION MONITORING
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• RULES FOR ASSESSING DATA QUALITY OF ACTIVITY-SCHEDULING SURVEY RESPONDENTS
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• USING BUS TRAVEL TIME DATA TO ESTIMATE TRAVEL TIMES ON URBAN CORRIDORS
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