Pavement management systems are a form of asset management that provide a framework by which transportation agencies monitor the performance of their pavement networks, set performance targets, and implement strategies to meet those performance targets. CSHub research in this area seeks to improve the methods used to allocate available funding across the needs of the pavement network by developing models to predict the performance of the network and optimize the allocation of funds. This process of performance-based planning enables economically efficient management of pavement networks by optimizing pavement network performance for a given cost.
- Asset Management (May 2020)
- Network Asset Management (April 2019)
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Improving Pavement Network Conditions Through Competition (October 2020)
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The Role of Pavements in Meeting GHG Reduction Targets (August 2019)
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The influence of analysis period on pavement network performance (November 2017)
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Developing a Network-Level Pavement Management Model (November 2015)
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Guo, F., Gregory, J., Kirchain, R. "Incorporating cost uncertainty and path dependence into treatment selection for pavement networks," Transportation Research Part C: Emerging Technologies,
Volume 110, Jan 2020, Pages 40-55, -
Swei O., Gregory J., Kirchain R., "Embedding Flexibility within Pavement Management: Technique to Improve Expected Performance of Roadway Systems", Journal of Infrastructure Systems, Vol. 25, No. 3, 2019.
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Swei O., Gregory J., Kirchain R., "Does Pavement Degradation Follow a Random Walk with Drift? Evidence from Variance Ratio Tests for Pavement Roughness", Journal of Infrastructure Systems, Vol. 24, No. 4, 2018.
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F. Guo, O. Swei, J. Gregory, R. Kirchain, “Sensitivity Analysis of Performance Metrics to Different Parameters in Pavement Management Systems”, the Transportation Research Board 97th Annual Meeting Compendium of Papers, Washington, DC, January 7-11, 2018. (PDF)
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Swei O., Gregory J., Kirchain R., "Pavement Management Systems: Opportunities to Improve the Current Frameworks" Transportation Research Board 95th Annual Meeting, No. 16-2940. 2016.
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Batouli, M., Swei, O., Zhu, J., Gregory, J., & Kirchain, R. (2015). "A Simulation Framework for Network Level Cost Analysis in Infrastructure Systems," in O’Brien W., Ponticelli, S., (Eds.), Computing in Civil Engineering 2015, ASCE.