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Evaluating exposure to vehicle pollutants using physics-informed immersive reality models.

Run Si1, Jason Stafford1

  • 1School of Engineering, University of Birmingham, Birmingham B15 2TT, UK.

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Exposure to harmful non-exhaust particle pollution from vehicles is highest during braking. Immersive reality experiences can help the public understand and reduce their exposure to these road pollutants for better health guidance.

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Area of Science:

  • Environmental Science
  • Public Health
  • Computational Fluid Dynamics

Background:

  • Road traffic generates significant particle pollution from non-exhaust sources like tires and brakes.
  • Exposure to these unregulated pollutants poses major health risks and contributes to chronic diseases.

Purpose of the Study:

  • To identify local exposure to non-exhaust particle pollutants.
  • To develop an immersive reality experience for public health guidance on pollution exposure.
  • To inform policymakers and urban planners on improving urban air quality.

Main Methods:

  • Utilized large-eddy simulations to model particle pollutant dispersion.
  • Developed a physics-informed immersive reality (IR) experience to visualize pollution data.
  • Analyzed pollution exposure at varying distances and braking deceleration rates.

Main Results:

  • Non-exhaust pollution exposure peaks at the end of braking phases (deceleration > 3 m s-2).
  • Exposure diminishes to background levels at 1.5 meters from a vehicle.
  • Pollution levels were largely insensitive to vehicle type.

Conclusions:

  • Immersive reality models effectively communicate pollution sources and health risks to the public.
  • This approach enhances understanding of how to navigate urban spaces for reduced exposure.
  • The method supports public health guidance, policymakers, and urban planners in addressing urban air quality.