Evaluation of design consistency methods for two-lane rural highways : executive summary
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Evaluation of design consistency methods for two-lane rural highways : executive summary

Filetype[PDF-386.63 KB]


English
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  • Creators:
    Fitzpatrick, Kay
  • Corporate Contributors:
    Texas Transportation Institute
  • Subject/TRT Terms:
  • Publication/ Report Number:
    FHWA-RD-99-173
  • Resource Type:
    Research Paper
  • TRIS Online Accession Number:
    00819634
  • Corporate Publisher:
    United States. Federal Highway Administration
  • NTL Classification:
    NTL-HIGHWAY/ROAD TRANSPORTATION-HIGHWAY/ROAD TRANSPORTATION;NTL-HIGHWAY/ROAD TRANSPORTATION-Design;NTL-SAFETY AND SECURITY-Human Factors;NTL-SAFETY AND SECURITY-Speed Limits;NTL-SAFETY AND SECURITY-Highway Safety;NTL-OPERATIONS AND TRAFFIC CONTROLS-Traffic Flow;
  • Abstract:
    Design consistency refers to the conformance of a highway's geometry with driver expectancy. Techniques to evaluate the consistency of a design documented within this report include speed-profile model, alignment indices, speed distribution measures, and driver workload. The use of operating speed as a consistency tool requires the ability to accurately predict speeds as a function of the roadway geometry. In this research project, several efforts were undertaken to predict operating speed for different conditions such as on horizontal, vertical, and combined curves; on tangent sections using alignment indices; on grades using the TWOPAS model; and prior to or after a horizontal curve. The findings from the different efforts were incorporated into a speed-profile model. Alignment indices are quantitative measures of the general character of a roadway segment's alignment. These potential indicators may identify a geometric inconsistency when there is a large increase in the magnitude of the alignment indices for a successive roadway segment or feature or when a high rate of change occurs over some roadway length. Speed distribution measures investigated included variance, standard deviation, coefficient of variation, and coefficient of skewness. Driver workload is a measure of the information processing demands imposed by roadway geometry on a driver. Principal investigators were Kay Fitzpatrick and Raymond A. Krammes with with contributions by (in alphabetical order): Ingrid B. Anderson, Karin M. Bauer, Jon M. Collins, Lily Elefteriadou, Paul Green, Douglas W. Harwood, Nelson Irizarry, Rodger Koppa, John McFadden, Kelly D. Parma, Karl Passetti, Brian Poggioli, Omer Tsimhoni, and Mark D. Wooldridge. Work performed under contract DTFH61-95-R-00084. 9 Figures, 5 tables, 13 references. 384k, 29p.
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