Modeling Driver Visual Demand on Complex Horizontal Alignments

Visual information is one of the vital elements that affect driver workload. Previous studies have modeled driver visual demand on simple horizontal curves and have found that it is significantly affected by the curve radius. This paper models driver visual demand on complex horizontal alignments that may include simple, compound, and reverse curves. Two sets of visual demand models were developed (curve models and tangent models) using visual demand data collected on 18 highway alignments on a driving simulator. The results show that visual demand is affected by the characteristics of not only the current element but also the preceding element. The characteristics of the preceding element included curve radius, curve direction (right or left), deflection angle, and lane width. As such, the developed models represent important tools for accurately evaluating driver workload on complex horizontal alignments.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/8674831
• Authors:
  • Easa, Said M
  • Ganguly, Chandi
• Publication Date: 2005-8

Language

• English

Media Info

• Media Type: Print
• Features: Figures; References; Tables;
• Pagination: pp 583-590
• Serial:
  • Journal of Transportation Engineering
  • Volume: 131
  • Issue Number: 8
  • Publisher: American Society of Civil Engineers
  • ISSN: 0733-947X
  • Serial URL: https://ascelibrary.org/journal/jtepbs

Subject/Index Terms

• TRT Terms: Alignment; Behavior; Curvature; Drivers; Driving; Driving simulators; Highway curves; Highway design; Highway safety; Mathematical models; Workload
• Uncontrolled Terms: Visual demand
• Subject Areas: Design; Highways; Safety and Human Factors; I82: Accidents and Transport Infrastructure; I83: Accidents and the Human Factor;

Filing Info

• Accession Number: 01002852
• Record Type: Publication
• Files: TRIS, ATRI
• Created Date: Aug 7 2005 7:52AM