Below is the uncorrected machine-read text of this chapter, intended to provide our own search engines and external engines with highly rich, chapter-representative searchable text of each book. Because it is UNCORRECTED material, please consider the following text as a useful but insufficient proxy for the authoritative book pages.
III-A-1 A P P E N D I X A Electronic Resources Several resources have been made available electronically to accompany this guidance document. The information or links needed to access each resource is included in the descriptions. Quantile Regression Spreadsheet Filename: Quantile Regression Models.xlsx This spreadsheet demonstrates the application of the quantile regression models as described in Part I, Chapter 2, of this report. The first sheet in the file contains additional details on how to use the spreadsheet. This file can be downloaded from the NCHRP Research Report 934 webpage at www.trb.org. Traffic Forecast Accuracy Assessment Presentation Filename: Traffic Forecast Accuracy Assessment.pptx This presentation file summarizes key information from the research project and can be helpful as a communication tool when explaining the approach, purpose, and findings of the research. This file can be downloaded from the NCHRP Research Report 934 webpage at www.trb.org. Forecast Archive Annotated Outline Filename: Forecast Archive Annotated Outline.docx Deep Dive Annotated Outline Filenames: Deep Dive Annotated Outline.docx and Deep Dive Assessment Tables.xlsx This Word document serves as a template for documenting details about a forecast as described in the Silver standard in Part I, Chapter 3, and outlined in Part III, Appendix B, of this report. The downloadable file replicates the information in Appendix B but provides it in a Word file for ease of editing and customization. This file can be downloaded from the NCHRP Research Report 934 webpage at www.trb.org. These documents serve as templates for documenting deep dives as described in Part I, Chapter 4, and Part III, Appendix C, of this report. The Word file replicates the information in Appendix C and, together with the Excel tables, provides for ease of editing and customization. These files can be downloaded from the NCHRP Research Report 934 webpage at www.trb.org.
III-A-2 Traffic Forecasting Accuracy Assessment Research Forecast Cards Location: https://github.com/uky-transport-data-science/forecastcards The Forecast Cards are an updated version of the software initially developed in Microsoft Access by the project team. It incorporates the schema for archiving forecasts according to the Bronze standard, as described in Part I, Chapter 3, of this report. The schema defines the structure of the files and the fields to store. The Forecast Cards also contain Python scripts to perform several functions: 1. Validate data to ensure that it conforms to the schema. 2. Clean and merge the data into CSV flat file appropriate for statistical analysis and model estimation. 3. Create any additional categorical or derived variables on that flat file. 4. Summarize data and estimate quantile regression models. The text in Part I, Chapter 3 describes the process at a high level, but more detailed user documentation is incorporated into the repository itself. The repository is version controlled, with Release 1.0 corresponding to the publication of this report. This structure ensures both that the release will continue to be available and that future users can build upon it. Forecast Card Data Location: https://github.com/uky-transport-data-science/forecastcarddata The Forecast Cards Data repository contains the actual data used in the Large-N analysis described in Part II of this report. The processes contained in the Forecast Cards software can compile these data into a CSV flat file suitable for reproducing the results. Release 1.0 corresponds to the publication of this report, but more data can be added, and more data may become relevant as projects continue to open. In this way, the project team hopes the data repository will serve as a living resource. These data are to be used in conjunction with the Forecast Cards software. In this report, Part I, Chapter 3 describes the general use of these data, with the Forecast Cards site providing more detailed instructions.
