Skip to main content

Currently Skimming:

Summary
Pages 1-4

The Chapter Skim interface presents what we've algorithmically identified as the most significant single chunk of text within every page in the chapter.
Select key terms on the right to highlight them within pages of the chapter.


From page 1...
... The project team recommends that truck traffic data should be collected through WIM systems that can simultaneously collect headway information as well as truck weights, axle weights, and axle configurations while remaining hidden from view and unnoticed by truck drivers. Truck data surveys collected at truck weigh stations and publicized locations are not accurate, because they are normally avoided by illegal overweight vehicles that could control the maximum loads applied on bridge structures.
From page 2...
... Many modern WIM data loggers currently in use in the United States have the capability to record and report sufficiently accurate truck arrival times for estimating multiple presence probabilities. Studies also have shown that multiple presence statistics are mostly transportable from site to site with similar truck traffic volumes and traffic flow.
From page 3...
... The WIM data collected as part of this study show that the actual percentage of side-by-side multiple truck event cases is significantly lower than assumed by the AASHTO LRFD code writers who had to develop their models based on a limited set of multiple presence data. Knowing the truck weight distribution in each lane allowed the determination of the actual relationship between the truck weights in the main traffic lane (drive lane)
From page 4...
... The protocols and methodologies recommended in this report can be followed to obtain live-load models for bridge design using available truck traffic data collected at different U.S. WIM sites.


This material may be derived from roughly machine-read images, and so is provided only to facilitate research.
More information on Chapter Skim is available.