How does pavement conditions impact the degradation of road infrastructure ?
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Pavement conditions significantly influence the degradation of road infrastructure. Studies reveal that as pavement condition deteriorates, vehicle speed decreases by 8.8%, while noise and vibration increase by 3.3% and over 30%, respectively . Effective pavement management systems rely on accurate data on road technical conditions to predict degradation and plan maintenance activities . Predictive models, such as Artificial Neural Networks, are utilized to forecast pavement performance based on factors like the International Roughness Index, aiding in efficient resource allocation and maintenance planning . In Sri Lanka, pavement degradation models using Markov analysis are proposed for both unpaved and paved roads to predict maintenance requirements and road lifetime, addressing challenges in infrastructure maintenance activities . The structural condition of pavements, as measured by tools like the traffic speed deflectometer, directly impacts surface condition deterioration rates .
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| Papers (4) | Insight |
|---|---|
3 Citations | Pavement structural condition, assessed by the Traffic Speed Deflectometer, influences the rate of surface deterioration, aiding in network-level pavement management and modeling pavement deterioration. |
| Pavement conditions impact road infrastructure degradation by influencing maintenance needs. A model for Sri Lankan roads includes Unpaved Condition Index and Markov analysis for effective maintenance prediction. | |
| Pavement conditions, such as International Roughness Index (IRI) and rutting data, significantly influence road infrastructure degradation. Predictive models aid in efficient maintenance planning and resource allocation for optimal performance. | |
| Poor pavement conditions lead to increased noise and vibration by 3.3% and over 30%, respectively, and decrease vehicle speed by 8.8%, contributing to road infrastructure degradation. |
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