Machine learning used to calibrate emissions control systems faster, more efficiently

The Southwest Research Institute (SwRI) has introduced a groundbreaking method that leverages machine learning and algorithm-based optimization to automate the calibration of heavy-duty diesel truck emissions control systems. Traditionally, this calibration process could take weeks, but SwRI's innovative approach can complete it in as little as two hours. This development is particularly important in the context of increasing regulatory pressures on emissions and the need for more efficient compliance solutions. As governments and organizations strive to meet stricter environmental standards, the ability to rapidly calibrate emissions systems will play a vital role in reducing pollution from diesel trucks. The implications of this technology extend beyond just efficiency; it represents a significant step towards more sustainable transportation practices. The advancements made by SwRI could lead to broader applications in the automotive industry, potentially influencing future policies …