Data-Driven Pavement Maintenance and Rehabilitation Strategies for GDOT’s New State Route Prioritization Policy
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2019-04-01
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Edition:Final; December 2016 – April 2019
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Abstract:The Georgia Department of Transportation (GDOT) has used the models and application that were developed through the RP 05-19 to justify and forecast the network-level, long-term pavement performance, and Maintenance, Rehabilitation, and Reconstruction (MR&R) need to the legislature. However, the Markov-chain-based pavement deterioration transition probabilities have not been updated for more than 10 years and do not reflect the most recent pavement deterioration behaviors. In addition, GDOT has established a new policy that categorizes state highways into four priority categories according to their importance and utilization: critical, high, medium, and low. To improve the accuracy and reliability of forecasting network-level pavement performance and predicting future MR&R needs in light of the new state route priority categories, this research project studied pavement deterioration behavior at both project and network levels, updated the pavement deterioration transition probabilities using the recent COPACES data, analyzed the treatment unit cost and Annual Average Escalation Rate (AAER), and conducted comprehensive what-if analysis using the new software application, GDOT LP&S. Conclusions and recommendations for future research were offered.
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