
Discover Functionality of the Machine Learning Decision Support System
Fri 26 Nov
|University of Twente - Horst Building
A workshop for discovering what we want for an Machine Learning Decision Support System for the asphalt construction.


Tijd en locatie
26 Nov 2021, 10:30 – 15:00 CET
University of Twente - Horst Building
Over het evenement
In the past few years, ASPARi plays a pivotal role in validating and implementing the PQi measurements through collaboration with contractors, resulting in significant progress in making the operational strategies explicit in road construction. However, while PQi have been widely applied as a baseline approach for assessing the variability occurring in the asphalt paving process, much less is known about how the assurance in the process quality can ultimately affect the quality of the product, i.e., the product quality of the as-built asphalt pavement. At present, the correlation between process and product quality of the asphalt pavement is still treated implicitly and intuitively. Given that the essential object of monitoring and assessing the process quality is to enhance the quality of asphalt pavement, it is thus crucial to obtain a thorough and explicit understanding of the missing linkage between the process quality and product quality.
Great efforts have been put…
Planning
30 minutesIntroduction
1 hourBrainstorming session – Identifying the input/output structure of the “black box”