AN ASSESSMENT OF THE EFFECT OF PAVEMENT SURFACE CONDITION ON PERFORMANCE OF SIGNALISED INTERSECTIONS

This study investigated the effect of pavement surface condition parameters including roughness, rut depth and skid resistance on the operational performance of a sample of signalised intersections i.e. level of service in terms of degree of saturation (DS). Pavement condition data and operational measurements including DS, phase time, cycle time and maximum flow during both AM and PM peak hours were collected for the year before and the year after the time of resurfacing treatments of a sample of intersections. Multiple regression analyses were applied for analysing and assessing intersection performance during AM and PM peak periods, separately and collectively, using the degree of saturation as a response variable with different explanatory variables. Generalised Estimating Equations (GEEs) of Gaussian distribution with an identity link function were used to account for the correlation between repeated observations for a given intersection. Reported in this paper are the statistical analysis approach and findings of the assessment, which indicate that only skid resistance has a statistically significant effect on intersection performance before treatment, where its increase results in a reduction in DS.