Research Article
A Two-Stage Stochastic Model for Maintenance and Rehabilitation Planning of Pavements
| Parameter | Description | Domain |
| | Large value (a value close to infinity) | |
| | Small value (a value close to zero) | |
| | Pavement financial value of section n at the year t while being in the best condition | |
| | Condition drop from t=1 to the target year of t if no M&R action is performed | |
| | Condition drop from the year of performing M&R action (m) on a pavement section (n) with condition index b to the target year of t | |
| | Initial condition | |
| | Condition improvement | |
| | Lower threshold of condition | |
| | Lower threshold of overall condition | |
| | Upper threshold of condition | |
| | Upper threshold of overall condition | |
| | Allocated budget | |
| | M&R action cost (Operating cost) | |
| | Probability of scenario | |
| | Critical condition in the vehicle operation cost (VOC) vs overall condition curve | |
| | VOC at the critical condition | |
| | VOC at the worst condition (0) | |
| | VOC at the best condition | |
| | Delay cost due to performing M&R actions | |
| | Cost constant to address deference between first and second stage decisions | |
| | Coefficient of condition in overall condition equation | |
| | Deterioration constant in overall condition equation | |
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can be replaced by f, t, s, or r which are, respectively, related to fatigue, thermal distress, skid, or roughness. |