Abstract

In response to the current COVID-19 pandemic, policy makers at the Greater London Authority (GLA) and Transport for London (TfL) require prompt and accurate data sources to understand how the busyness of the city is changing. This poster presents Project Odysseus at the Alan Turing Institute which integrates multiple large-scale, heterogeneous datasets and develops machine learning models to infer mobility, transportation and footfall activity throughout the city of London.

Citation information

Patrick O'Hara, James Walsh, Chance Haycock, Edward Thorpe-Woords, Oluwafunmilola Kesa, Andrew Wang, Mihai Ilas, James Brandreth, Oscar Giles, Neil Dhir, Theodoros Damoulas, Computing Insight UK 2020.

Turing affiliated authors