The Alan Turing Institute this week published the Get Bristol Moving report. This report is a result of the Turing’s Network Data Study Group in 2019. The week event was hosted by the University of Bristol’s Jean Golding Institute.
Researchers from across Europe spent a week in Bristol putting their knowledge into practice and going beyond their individual fields of research to solve real world challenges.
One of the six challenges was presented by Bristol City Council’s Open Data, Air Quality and Traffic Control Teams. The framed challenge focused on finding interesting (or unexpected) patterns in the Council’s data that could use help improve congestion and improve air quality.
Participants were given access to a range of data including
- Department for transport, road traffic statistics (vehicle counts and flow)
- Bristol City Council’s open data dashboard on real time and historic air quality (NOx and particulate matter
- Bristol City Council’s internal traffic survey datasets
- Data extracted from Bristol City Council’s internal traffic data (SCOOT database) covering traffic flow, journey time, vehicle speed, congestion and so on
- The Emissions Factor Toolkit
- Local weather data from Iowa State University using the R package “riem”
The report gives a comprehensive analysis on how the researchers undertook the challenge and their resultant findings.