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XML Datasets

XML Datasets consist of a text string of input data. These text strings may be directly imported into various analysis software packages, allowing the analyst the opportunity to explore the data with analysis software available to them, even though the software may not be the same used in the development of this case study.

Problem 1 - U.S. 95/Styner-Lauder Avenue Intersection

Dataset1

Unsignalized U.S. 95/Styner-Lauder Avenue PM Peak Hour Base Case Analysis
Dataset2 Unsignalized U.S. 95/Styner-Lauder Avenue 10-year forecast
Dataset3 Unsignalized U.S. 95/Styner-Lauder Avenue PM Peak Hour Forecast 10-year analysis
Dataset4 Signalized U.S. 95/Styner-Lauder Avenue 10-year forecast
Dataset5
Dataset6 Signalized U.S. 95 Styner-Lauder 10-year forecast with 10% volume increase
Dataset7 Unsignalized U.S. 95 Styner-Lauder 10-year forecast with 10% volume reduction
Dataset8 Signalized U.S. 95 Styner-Lauder 10-year forecast with 10% volume reduction
Dataset9 Unsignalized U.S. 95/Styner-Lauder intersection with the effect of adjacent intersections
Dataset10 Signalized U.S. 95/Styner-Lauder Avenue with arrival Type 2
Dataset11 Signalized U.S. 95/Styner-Lauder Avenue with arrival Type 4
Dataset12 Arterial analysis of U.S. 95 with signal at Styner/Lauder
Dataset13 Arterial analysis of U.S. 95 without signal at Styner/Lauder
Dataset14 U.S. 95/Styner-Lauder Avenue during peak event flow
Dataset15 Signalized U.S. 95/Styner-Lauder Avenue during peak event, first 15-minute period
Dataset16 Signalized U.S. 95/Styner-Lauder Avenue during peak event, second 15-minute period
Dataset17 Signalized U.S. 95/Styner-Lauder Avenue during peak event, third 15-minute period