A Predictive Simulation Model of Regional Weather Events for Winter Road Maintenance Operations

In construction field work, weather events are a key risk factor in planning. Such events can impact productivity and, ultimately, project progress. Unforeseen weather situations can lead to delays and budget overruns. Recent efforts have been made in the construction industry to collect weather data at variously located weather stations through sensor technology. These data provide a foundation for reliable weather information. Monitoring the weather situation in a given area still presents challenges, given that weather stations are located great distances apart. A scientific method is desired to make use of limited collected weather data in order to reasonably estimate detailed weather conditions for construction purposes. In this research, a simulation-based, mathematical model has been developed using kriging interpolation method to estimate weather situations and their corresponding impacts on construction projects. Weather data and geographical information are used as inputs for the proposed model. The weather situation in the project area is simulated based on historical data, and its impacts on project planning are analyzed using the proposed model. Based on this methodology, a case study on winter road maintenance is developed and presented.


  • English

Media Info

  • Media Type: Web
  • Features: References;
  • Pagination: pp 856-865
  • Monograph Title: Construction Research Congress 2020: Computer Applications

Subject/Index Terms

Filing Info

  • Accession Number: 01762813
  • Record Type: Publication
  • ISBN: 9780784482865
  • Files: TRIS, ASCE
  • Created Date: Nov 9 2020 3:03PM