Identification of potential highways maintenance schemes using MCA 014 A SSET M A N A G EM EN T

This paper presents a methodology for identifying potential pavement maintenance schemes based upon machine survey data. Highways authorities make maintenance decisions based on a number of factors; condition data is a common starting point. However there are currently no universally accepted techniques for ranking sub-sections by condition, based on the comparison of data from multiple condition assessment surveys. The methodology presented in this paper utilises condition data that has been captured from standard machine-based condition assessment surveys – specifically the TRACS survey, Deflectograph and the SCRIM survey. The resultant data is analysed using a Multi-Criteria Analysis (MCA) technique known as TOPSIS (the Technique for Order Preference by Similarity to the Ideal Solution). This technique is capable of investigating a number of alternative solutions. The data set is prioritised in terms of relative condition. The road sub-sections exhibiting the worst condition can then be highlighted, and potential schemes can be identified.