Pavement smoothness can be described by the magnitude of the profile measurements and their distribution over measurement intervals. Surface smoothness, especially on newly constructed pavements, is a major concern for the highway industry. The smoothness is a measure of the quality of the constructed pavements. Measured data from profilographs are inherently multiscale in nature owing to different contributions from events occurring at different locations and with different localization frequency. Therefore, a data analysis method that can represent the measured data at multiple scale is better suited for extracting information and making inferences. This paper presents a mathematical tool, a wavelets analysis, that has the potential to extract information atdifferent scales. The multiscale property and structure of the wavelet algorithm can lead to a method of analysis and display that highlights changes in the profile measurements.