Investigating the relationship between traffic loading on edge break for flexible roads in Kireka.

Abstract

This research addresses the problem of road edge break, which poses a significant challenge for road authorities in maintaining the safety and longevity of road infrastructure. The deterioration of pavement edges can result in increased risks to drivers and costly repair work. To tackle this problem, the study focuses on analyzing the vulnerability to edge break on Ndagire road and Kamuli road, with the objective of identifying the key factors contributing to this phenomenon and providing effective recommendations for mitigation. The research adopts a systematic approach, employing data collection and analysis methods to examine the relationship between traffic volume, shoulder to pavement difference, and edge break. The Average Annual Daily Traffic (AADT) represents traffic volume, while the Elevation difference from pavement to shoulder (ESTEP) quantifies the shoulder to pavement difference. Through statistical analyses, including coefficient calculations, the vulnerability of Ndagire road and Kamuli road to edge break is assessed. Key findings reveal that Ndagire road exhibits higher vulnerability to edge break in terms of the shoulder to pavement difference, as evidenced by a higher coefficient (10.82) compared to Kamuli Road (6.21). Conversely, Kamuli Road is more susceptible to edge break due to increased traffic volume, with a higher coefficient (0.012) compared to Ndagire road (0.009). Furthermore, a significant difference in traffic volume of approximately 10% is observed between the left and right sides of both roads, resulting in more edge break on the left side. Based on these findings, the study provides explicit recommendations for mitigating edge break. For Ndagire road, interventions should focus on addressing the shoulder to pavement difference through regular monitoring, proper shoulder support, erosion control, and effective drainage systems. For Kamuli road, strategies should prioritize traffic management measures, such as traffic calming, infrastructure improvements, and alternative transportation options to alleviate congestion and manage increased traffic volume.