Open AccessImpact of time coverage of traffic data collection on Pavement ME Design
Author(s) -
Joshua Li,
Kelvin C.P. Wang,
Junxiang Lou
Publication year - 2016
Publication title -
international journal of pavement research and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.888
H-Index - 26
eISSN - 1997-1400
pISSN - 1996-6814
DOI - 10.1016/j.ijprt.2015.12.001
Subject(s) - weigh in motion , data collection , axle , axle load , state highway , transport engineering , engineering , data quality , civil engineering , computer science , structural engineering , statistics , metric (unit) , operations management , mathematics
The Pavement ME Design requires a full axle-load spectrum mainly based on continuous site-specific Weigh-In-Motion (WIM) data for each axle type and axle group. However, collecting high quality permanent WIM data is expensive and challenging. Many state DOTs have to rely on various traffic data collection technologies with different time coverage for the implementation of Pavement ME Design. In this paper, twelve traffic data input scenarios are developed to simulate various lengths of time coverage of traffic data collated at 20 WIM sites in Oklahoma. Pavement ME Design runs are performed to evaluate the impacts of the length of traffic data on predicted pavement performance. This study establishes a framework for state highway agencies to develop the requirements of traffic data collection efforts for Pavement ME Design