原文传递 Traffic Data Collection, Analysis, and Forecasting for Mechanistic Pavement Design
题名: Traffic Data Collection, Analysis, and Forecasting for Mechanistic Pavement Design
责任者: National Academies of Sciences, Engineering, and Medicine; Transportation Research Board
关键词: Transportation and Infrastructure — Data and Information Technology Transportation and Infrastructure — Design Transportation and Infrastructure — Pavements
学科分类: 暂无分类
摘要: TRB's National Cooperative Highway Research Project (NCHRP) Report 538: Traffic Data Collection, Analysis, and Forecasting for Mechanistic Pavement Design provides guidance for collecting traffic data to be used in pavement design and includes software—designated TrafLoad—for analyzing traffic data and producing traffic data inputs required for mechanistic pavement analysis and design. The TrafLoad software is designed to produce traffic data for input to the 2002 AASHTO pavement design software. TrafLoad is based on a new mechanistic-empirical approach to pavement design, it relies on axle load spectra rather than equivalent single axle loads. For each of four axle types, the load spectra specify the percentages of axles falling into each of several load ranges. Help on Burning an .ISO CD-ROM Image Download the TrafLoad .ISO CD-ROM Image TrafLoad User’s Manual TrafLoad Procedures Manual
出版机构: Transportation Research Board
提交日期: 2004
报告类型: 科技报告
资源类型: 科技(咨询、行业)报告
初始创建时间: 2004
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