Optimization of traffic data collection for specific pavement design applications.
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2006-05-01
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Edition:Final report; Mar. 2003-July 2005.
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Abstract:The objective of this study is to establish the minimum traffic data collection effort required for pavement design ; applications satisfying a maximum acceptable error under a prescribed confidence level. The approach consists of ; simulating the traffic data input to the 2002 National Cooperative Highway Research Program (NCHRP) 1-37A ; design guide for 17 distinct traffic data collection scenarios using extended-coverage, weigh-in-motion (WIM) ; data from the Long-Term Pavement Performance database. They include a combination of site-specific, regional, ; and national WIM, automated vehicle classification, and automated traffic recorder data of various lengths of ; coverage. Regional data were obtained using clustering techniques. Pavement life was estimated using mean ; traffic input and low-percentile input to the NCHRP 1-37A design guide for three levels of confidence: 75 ; percent, 85 percent, and 95 percent. For each confidence level, ranges in pavement life prediction errors were ; estimated. A three-dimensional plot was produced, indicating the maximum error by confidence level for each of ; the traffic data collection scenarios analyzed. This plot can be used to establish the minimum required traffic data ; collection effort, given the acceptable error and the desirable level of confidence.
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Main Document Checksum:urn:sha-512:dd3fdb4a4420e0cef52b42eb605b0e9cc6e5cc8385e386e4043d748fe3cc61923ed4fe4844cd55c8f856d7f2205fd5c7c234c2d6940a81bfe32fef36a5d845d0