Skip to main content
Intended for healthcare professionals
Restricted access
Research article
First published January 2003

Integration of Light Detection and Ranging Technology with Photogrammetry in Highway Location and Design

Abstract

Surface terrain information is needed to economically site new or relocate existing infrastructure facilities and make final design plans. Field surveying and photogrammetric mapping are the methods most widely used to acquire these data. However, these methods are time- and resource-intensive, as significant data collection and reduction are needed to provide the level of detail necessary for facility location and design. Light detection and ranging (LIDAR) is a relatively new alternative technology for obtaining terrain information more efficiently. With LIDAR, data can be collected under a variety of environmental conditions, including low sun angle, cloudy skies, and even darkness, resulting in expanded windows for data collection. Although less accurate than photogrammetric mapping, LIDAR can help expedite the highway location and design process by providing designers with preliminary terrain information earlier in the process. Presented is a proposed methodology for using LIDAR in conjunction with photogrammetric mapping to speed up highway location and design activities, including estimates of time and cost savings.

Get full access to this article

View all access and purchase options for this article.

References

1. Garber N. J., and Hoel L. A. Traffic and Highway Engineering, 2nd ed., PWS, Boston, Mass., 1997.
2. Kavanagh B. F., and Bird S. J. G. Surveying, Principles and Applications. Prentice Hall, Upper Saddle River, N.J., 2000.
3. Wehr A., and Lohr U. Airborne Laser Scanning—An Introduction and Overview. ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 54, No. 2, July 1999, pp. 68–82.
4. Haala N., and Brenner C. Extraction of Buildings and Trees in Urban Environments. ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 54, No. 2, July 1999, pp. 130–137.
5. Shrestha R. L., Carter W. E., Lee M., Finer P., and Sartori M. Airborne Laser Swath Mapping: Accuracy Assessment for Surveying and Mapping Applications. Journal of the American Congress on Surveying and Mapping, Vol. 59, No. 2, Feb. 1999, pp. 83–94.
6. Shrestha R. L., et al. Coastal and Highway Mapping by Airborne Laser Swath Mapping Technology. Proc., Third International Airborne Remote Sensing Conference and Exhibition, Copenhagen, Denmark, Vol. 1, 2000, pp. 632–639. www.alsm.ufl.edu/pubs/coastal/coastal.htm.
7. Langston J. W., and Walker T. L. Highway Study Benefits from Helicopter Laser Survey. Public Works, Vol. 131, No. 3, 2001.
8. Johnston K. NCDOT Evaluation of Geospatial Products Generated for USDOT. Paper presented at Remote Sensing in Transportation Conference, December 10, 2001, TRB, National Research Council, Washington, D.C.
9. Minnesota Department of Transportation, Office of Land Management. LIDAR. Paper presented at Surveys Technical Conference, March 27, 2002. rocky.dot.state.mn.us/Inside_LM/Photogrammetrics/Presentations/LIDAR/INDEX_files/fname.htm.
10. Veneziano D., Hallmark S., and Souleyrette R. Accuracy Evaluation of LIDAR-Derived Terrain Data for Highway Location. Computer-Aided Civil and Infrastructure Engineering (in press).
11. Huising E. J., and Pereira L. M. Errors and Accuracy Assessment of Laser Data Acquired by Various Laser Scanning Systems for Topographic Applications. ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 53, No. 5, May 1998, pp. 245–261.
12. Pereira L. M. G., and Janssen L. L. F. Suitability of Laser Data for DTM Generation: A Case Study in the Context of Road Planning and Design. ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 54, No. 4, April 1999, pp. 244–253.
13. Berg R., and Ferguson J. A Practical Evaluation of Airborne Laser Mapping for Highway Engineering Surveys. In Proc., ION-GPS 2000, Salt Lake City, Utah, 2000.
14. Pereira L. M. G., and Wicherson R. J. Suitability of Laser Data for Deriving Geographical Information. ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 54, No. 2, July 1999, pp. 105–114.
15. Wolf D., Eadie R. C., and Kyzer J. Digital Photography/Lidar of Archeo/Paleo Sites on the Comanche National Grassland. Presented at USFS Remote Sensing Conference, Albuquerque, N.M., May 2000.
16. Al-Turk E., and Uddin W. Infrastructure Inventory and Condition Assessment Using Airborne Laser Terrain Mapping and Digital Photography. In Transportation Research Record: Journal of the Transportation Research Board, No. 1690, TRB, National Research Council, Washington, D.C., 1999, pp. 121–125.
17. Slama C. L. (ed.). Manual of Photogrammetry, 4th ed., American Society of Photogrammetry, Falls Church, Va., 1980.
18. Veneziano D. Evaluation of LIDAR-Derived Terrain Data in Highway Planning and Design. M.S. thesis. Iowa State University, Ames, 2002.

Cite article

Cite article

Cite article

OR

Download to reference manager

If you have citation software installed, you can download article citation data to the citation manager of your choice

Share options

Share

Share this article

Share with email
EMAIL ARTICLE LINK
Share on social media

Share access to this article

Sharing links are not relevant where the article is open access and not available if you do not have a subscription.

For more information view the Sage Journals article sharing page.

Information, rights and permissions

Information

Published In

Article first published: January 2003
Issue published: January 2003

Rights and permissions

© 2003 National Academy of Sciences.
Request permissions for this article.

Authors

Affiliations

David Veneziano
Center for Transportation Research and Education, 2901 South Loop Drive, Suite 3100, Ames, IA 50010
Reginald Souleyrette
Department of Civil and Construction Engineering, Iowa State University, 382 Town Engineering, Ames, IA 50011
Shauna Hallmark
Department of Civil and Construction Engineering, Iowa State University, 402 Town Engineering, Ames, IA 50011

Metrics and citations

Metrics

Journals metrics

This article was published in Transportation Research Record: Journal of the Transportation Research Board.

VIEW ALL JOURNAL METRICS

Article usage*

Total views and downloads: 20

*Article usage tracking started in December 2016


Altmetric

See the impact this article is making through the number of times it’s been read, and the Altmetric Score.
Learn more about the Altmetric Scores



Articles citing this one

Receive email alerts when this article is cited

Web of Science: 0

Crossref: 7

  1. Investigation of Highway Stormwater Management Pond Capacity for Flood...
    Go to citation Crossref Google Scholar
  2. Transfer Learning Using Deep Neural Networks for Classification of Tru...
    Go to citation Crossref Google Scholar
  3. Light Detection And Ranging (LiDAR)
    Go to citation Crossref Google Scholar
  4. Critical Assessment of an Enhanced Traffic Sign Detection Method Using...
    Go to citation Crossref Google Scholar
  5. Mobile Cross-Slope Measurement Method Using Lidar Technology
    Go to citation Crossref Google Scholar
  6. Side-Fire Lidar-Based Vehicle Classification
    Go to citation Crossref Google Scholar
  7. Use of Light Detection and Ranging Data to Identify and Quantify Inter...
    Go to citation Crossref Google Scholar

Figures and tables

Figures & Media

Tables

View Options

Get access

Access options

If you have access to journal content via a personal subscription, university, library, employer or society, select from the options below:


Alternatively, view purchase options below:

Purchase 24 hour online access to view and download content.

Access journal content via a DeepDyve subscription or find out more about this option.

View options

PDF/ePub

View PDF/ePub