摘要: |
This report addresses the development of a sampling protocol for condition assessment of selected assets as a function of the desired precision and level of confidence in the estimates of levels of service (LOS). The focus is on the precision and confidence level at each maintenance shop. Recommendations are also provided to conduct field surveys of the condition of selected assets that minimize the uncertainty in the estimates of LOS. The scope of work included the evaluation of the effect of sample size (i.e., number of 12- mile roadway sections) on the accuracy of estimates of level of service. The distribution of sample sizes among the various maintenance shops accounts for factors such as roadway functional classification, average annual daily traffic (AADT), geographical location, and the approximate distribution of assets in the system. Sensitivity studies were conducted to evaluate the effect of each of the aforementioned parameters on the size and diversity of samples throughout the state of Maryland. It is expected that the implementation of the proposed sampling protocol will allow SHA to make reasonable inferences regarding the condition level of the entire asset population. More specifically, the goal would be to obtain reliable information such that SHA shops can prioritize areas of need and determine levels of funding, personnel, and equipment. |