health

In this project, with the help of statistical approaches, transportation network modeling techniques will be deployed to address new challenges to sensor health monitoring problems.

In this study, the research team will: 1) measure real-world brake activities of a large volume of vehicles traversing major roadway segments (e.g., near signalized intersections) by leveraging advanced roadside sensing technologies, e.g., Light Detection and Ranging and/or high-definition camera, as well as deep learning-based computer vision algorithms; and 2) construct the real-world brake activity database and supplement for the non-tailpipe emissions inventory.