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A model for automated monitoring of road construction

Author

Listed:
  • R. Navon
  • Y. Shpatnitsky

Abstract

Monitoring and control of earthmoving operations is gaining an increasing interest. Manual monitoring and control of earthmoving operations have not yielded the expected results. Additionally, because manual monitoring is labor-intensive, construction managers have to choose between monitoring based on rough estimates, or spending a lot of time collecting and processing data. The latter choice distracts them from many other important duties. The purpose of the present model is to automatically collect and process monitoring data providing the construction manager with real-time control information. The model was developed for road construction. It uses GPS technology for automated data collection, logging the locations of all the earthmoving equipment while working on the project. Specially developed algorithms convert these locations to control information regarding productivity, duration (or progress) and actual consumption of materials. The model was implemented and tested for 3 weeks in a road construction project. The performance of four activities was measured by the model and compared to manual measurement of the same parameters. This comparison indicated that the model could reach a deviation of ±5%.

Suggested Citation

  • R. Navon & Y. Shpatnitsky, 2005. "A model for automated monitoring of road construction," Construction Management and Economics, Taylor & Francis Journals, vol. 23(9), pages 941-951.
  • Handle: RePEc:taf:conmgt:v:23:y:2005:i:9:p:941-951
    DOI: 10.1080/01446190500183917
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    Citations

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    Cited by:

    1. Chi Ming Tam & Thomas Tong & Bill Wong, 2007. "An integrated system for earthmoving planning," Construction Management and Economics, Taylor & Francis Journals, vol. 25(11), pages 1127-1137.
    2. Ashraf Elazouni & Osama Salem, 2011. "Progress monitoring of construction projects using pattern recognition techniques," Construction Management and Economics, Taylor & Francis Journals, vol. 29(4), pages 355-370.

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