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Assessing the correlation between particulate pollution and real-time traffic congestion during cycling commutes in London, UK

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DE4 Sensing and Internet of Things Coursework

Dyson School of Design Engineering, Imperial College London

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This project project aims to assess the correlation between particulate matter concentration (PM2.5, PM10) and real-time traffic congestion during cycle commutes in London, UK.

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  • ./ NodeJS express server
  • ./MKRGSM1400/ Code for Arduino MKR GSM 1400
  • ./analysis/ Data analysis (Jupyter Notebook)
  • ./images/ README images
  • ./models/ Database models
  • ./public/ Code for browser-based data dashboard (note: not publicly accessible)
  • ./uno/ Code for Arduino Uno

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Assessing the correlation between particulate pollution and real-time traffic congestion during cycling commutes in London, UK

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