Accelerometer and geophone data processing for monitoring pavement deflection and traffic conditions

The processing of geophone and accelerometer signals used to monitor traffic-induced vibrations on roadways requires filters to reduce the amplitude of the final deflection measurements. To obtain accurate deflection values, signal amplification factors must be applied. This article presents results from laboratory experiments and full-scale tests aimed at describing these factors. The obtained values demonstrated consistency across different tests, which is a key element for automating data processing and defining efficient roadway monitoring techniques. Additionally, models were developed to correlate deflection with the lateral position of vehicles, enabling a precise characterization of load location and lateral distribution. Future work should focus on optimizing data processing and integrating real-time monitoring systems to enhance pavement management, traffic load evaluation, and infrastructure decision-making. These advancements could lead to more efficient road maintenance strategies, ensuring improved roadway performance and extending pavement lifespan.