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Understanding Real-World Brake Activity: A Key to Assessing Non-Tailpipe Emission Sources

Research Product Type
Research Report
This study investigates the impact of vehicle brake activity on mobile-source particulate matter (PM) emissions at signalized intersections using a multi-modal data collection approach. The research integrates LiDAR-based trajectory detection, roadside camera monitoring, drone surveillance, and in-vehicle sensor data to analyze braking behaviors and their associated emissions.

Understanding Real-World Brake Activity: A Key to Assessing Non-Tailpipe Emission Sources for Sustainable Transportation and Communities

  • Principal Investigator Guoyuan Wu
  • University of California, Riverside
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.
Project Status
Complete
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