Skip to main content

Currently Skimming:


Pages 22-30

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 22...
... 22 The first step in the truck bottleneck methodology is to identify, collect, quality check, organize, and link the various data sources available to the agency that are needed to identify and quantify bottleneck locations. The more and better the data available, the better the results of the analysis.
From page 23...
... Identify and assemble Data 23 segments will provide individual vehicle data that allow constructing travel times between origins and destinations (O/Ds)
From page 24...
... 24 Guide for Identifying, Classifying, evaluating, and Mitigating truck Freight Bottlenecks 3.2 Potential Data Sources At a minimum, data are needed on the performance and use of the road system. That is, how fast are vehicles (and in particular, trucks)
From page 25...
... Identify and assemble Data 25 Bottleneck Category Bottleneck Type Example Data Sources Travel SpeedBased Bottlenecks Peak-period traffic State DOT Traffic Count Data Roadway geometrics (e.g., lane drop) and attributes (e.g., tunnels)
From page 26...
... 26 Guide for Identifying, Classifying, evaluating, and Mitigating truck Freight Bottlenecks of travel times at which vehicles operate on the entire National Highway System (NHS)
From page 27...
... Identify and assemble Data 27 The key is that each state or MPO has access to data that allow the identification of travel speed-related bottlenecks. Using the NPMRDS -- or other available data sets -- states and MPOs can compute at a minimum when, where, and to what extent delays are occurring for both cars and trucks throughout the NHS.
From page 28...
... 28 Guide for Identifying, Classifying, evaluating, and Mitigating truck Freight Bottlenecks information on incidents, including the types of vehicles involved and the timeline of the incident. • Construction activities.
From page 29...
... Identify and assemble Data 29 port gates and dwell times inside port gates. However, in practice, the level of geographic precision needed to conduct this type of analysis makes the use of truck GPS data for these purposes challenging.
From page 30...
... 30 Guide for Identifying, Classifying, evaluating, and Mitigating truck Freight Bottlenecks These data sets can be quite large and contain many data items. Not all of the data items present in the base data systems should be brought into this analysis process.

Key Terms



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.