Presenting at the CIB, International Council for Research and Innovation in Building and Construction
As CIB, International Council for Research and Innovation in Building and Construction, I presented my review study titled “Smartphone-based Pavement Roughness Index Estimation Methods”, and I was thrilled to exchange ideas with the audience and receive valuable feedback.
- Read the paper: Here
Pavements deteriorate over time due to traffic loading and environmental conditions, leading to high roughness and surface distress. This deterioration compromises ride quality, increases safety risks, and drives up vehicle operating costs. Typically, pavement conditions are assessed using laser profilometers or Response-Type Road Roughness Measuring Methods (RTRRMs). However, the rise of smartphones—with their increasing sensing capabilities—has presented a new, accessible avenue for roughness assessment and distress detection.
In my review, I analysed a wide body of knowledge on smartphone-based roughness assessment. The research highlighted key gaps in the current literature and provided new insights into future research directions. By systematically reviewing 88 academic publications, my study covered critical factors like sensor selection, data pre-processing methods, and assessment algorithms. Practical aspects, such as data collection speed, vehicle type, smartphone specifications, and mounting configurations, were also considered to understand their impact on the accuracy and robustness of smartphone-based roughness assessments.
My findings are expected to significantly advance the understanding of both the potential and limitations of these methods, offering valuable insights for future research and practices.
