non-tailpipe emissions

Social Life Cycle Analysis of Zero Emission Heavy-duty Trucks

  • Principal Investigator Jiachen Zhang, Ph.D.
  • University of Southern California
Building on their previous research on environmental life cycle assessment (LCA) for heavy-duty trucks, the researchers will conduct a social LCA analysis to assess the social impacts of battery-electric and fuel cell trucks.
Project Status
In Progress

Understanding of Tire-Wear Gaseous Emissions and their Impact on Secondary Aerosol Formation from On-Road Vehicles

  • Principal Investigator Georgios Karavalakis, Ph.D.
  • University of California, Riverside
In this study, the researchers will measure the gaseous emissions from the off-gassing of tires during laboratory and real-world testing conditions. The researchers will also evaluate the secondary organic aerosol forming potential from the off-gassing of tires during only laboratory conditions using state-of-the-art instrumentation.
Project Status
In Progress

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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