Accuracy Evaluation and Sensitivity Analysis of Estimating 3D Road Centerline Length using Lidar and NED

Highway networks are represented by linear spatial objects (road segments). Having accurate length information of road centerlines is critical in transportation. This paper presents a geographic information system (GIS)-based approach that overlays planimetric road centerlines and elevation data to model road centerlines in a 3-D space and estimate their lengths. Elevation sources included light detection and ranging (lidar) and the National Elevation Dataset (NED). The estimated distances were compared to distance measurement instrument (DMI)-measured distances to evaluate the accuracy. The effects of elevation datasets with varying vertical accuracies were assessed. The relationship between road geometric properties and the accuracy of distance estimates was examined. It was found that: 1) the proposed 3-D approach is efficient in estimating 3-D road centerline distances, 2) using lidar point data improves the accuracy by 28% over the use of NED, and 3) certain road geometric properties have direct relationship with the accuracy of distance estimates.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/00991112
• Authors:
  • Cai, Hubo
  • Rasdorf, William J
• Publication Date: 2009-6

Language

• English

Media Info

• Media Type: Print
• Features: Figures; References; Tables;
• Pagination: pp 657-665
• Serial:
  • Photogrammetric Engineering and Remote Sensing
  • Volume: 75
  • Issue Number: 6
  • Publisher: American Society for Photogrammetry and Remote Sensing
  • ISSN: 0099-1112

Subject/Index Terms

• TRT Terms: Accuracy; Digital mapping; Geographic information systems; Highway design; Laser radar; Photogrammetry
• Subject Areas: Data and Information Technology; Highways; I20: Design and Planning of Transport Infrastructure;

Filing Info

• Accession Number: 01130563
• Record Type: Publication
• Files: TRIS
• Created Date: Jun 22 2009 2:01PM