Title: Development of Road Pavement Condition Index Using Combined Parameters
Abstract: Road condition is an enabler factor for both economic success and quality of life. In order to determine road condition, a model for pavement condition index is required. The condition index can be determined using roughness alone or by using both roughness and distress data. When roughness parameter is used alone, it may not predict well the condition of the entered network because in some cases, data for such parameter is missing during data collection. Also, measuring pavement condition index using roughness is quite complex because it depends on the vehicular characteristic and pavement situation. In addition, when key code is not properly configured, some data loss occurs, causing improper determination of condition index. The objective of this article is to improve estimation of pavement condition index using both IRI and distress parameters. A total of nine parameters were chosen including potholes, crack, rutting, patching, ravelling, overall condition, drainage, bleeding and shoulder condition. The weight score of each parameter was computed using mean value from statistical data collected from professional and experienced experts in pavement management. Nevertheless, the baseline data for modelling was obtained from Road Maintenances Management System database repository of Tanzania National Roads Agency. The result from roughness parameter for condition index was compared with those from both roughness and distress parameters. The sensitivity analysis of the parameters used in determination of road condition was also carried out where roughness was used as baseline indicator. The result of using roughness parameters in estimating pavement condition shows that 67.86% of the paved network was good, 13.12% was fair and 0.23% was poor while. On the other hand, combined parameters were used, the analysis showed that 92.38% was good, 7.38% was fair and 0.24% was poor. The higher difference was noted in trunk paved roads which was about 24.52%. It is concluded that estimation of Pavement Condition Index using combined parameters is very reliable and yields correct results compared to those using single parameter. Also, it is noted that sensitivity of roughness, patching, wide crack, ravelling, rutting in determining the road condition index are almost the same. However, bleeding and potholes have higher sensitivity than others.
Publication Year: 2020
Publication Date: 2020-01-01
Language: en
Type: article
Access and Citation
Cited By Count: 1
AI Researcher Chatbot
Get quick answers to your questions about the article from our AI researcher chatbot