AI-assisted insights, Traffic Speed Deflection Device (TSDD) slope quality checks, deflection profile reconstruction, and smarter decision-making — all powered by SPADE and RoadVision expertise.
AI-assisted insights, Traffic Speed Deflection Device (TSDD) slope quality checks, deflection profile reconstruction, and smarter decision-making — all powered by SPADE and RoadVision expertise.
Reconstruct a complete slope curve from TSDD sensors using SPADE’s physics-informed AI model — for better QA and advanced analytics.
Overcome the limitations of current deflection algorithms by using a full slope curve reconstructed via a physics-informed AI model.
Whether you're collecting or using TSDD data, RoadVision’s SPADE improve QA, support acceptance, and help decision-makers take action.
Automatically flag noisy or out-of-range TSDD slopes with envelope checks, residuals, and R² model fit tests.
Answers to questions you might have about SPADE
SPADE (Slope and Physics-informed Analytics for Deflection Estimation) is an AI-powered tool that reconstructs full slope profiles from individual TSDD deflection slope measurements and calculates full-surface deflection curves. It enables users to perform quality consistency checks on measured slope values, ensuring more reliable data for analysis and decision-making.
SPADE is built for TSDD data providers, consultants, and transportation agencies (DOTs) aiming to enhance deflection analysis, perform automated slope quality checks, and extract deeper insights from pavement deflection data. Vendors can also integrate SPADE into their workflow before data delivery, improving quality and value for end users.
Unlike traditional deflection methods that rely solely on raw sensor readings, SPADE uses a physics-informed machine learning model trained on slope profiles. It reconstructs complete slope curves—even when some sensors show anomalies—and performs automated consistency checks to flag inconsistencies in measured deflection slopes.
SPADE has been benchmarked using both field and synthetic datasets and shows strong agreement with full-reference  profiles. Its physics-informed model reconstructs a complete deflection profile from individual TSDD slope measurements—even when some sensors show anomalies. While SPADE can mitigate inconsistencies in the data, the final accuracy still depends on the quality and reliability of the measured slopes.
To access SPADE, simply reach out to RoadVision Analytics through the Contact page. SPADE is currently available via partner projects or tailored access under NDA.