Understanding Traffic with Open Data and Visualization

Explore innovative approaches to urban traffic management using data science and visualization in this 43-minute seminar from the Alan Turing Institute. Discover how researchers are leveraging crowd-sourced data from platforms like OpenStreetMap and Waze to enhance traffic models and identify factors contributing to congestion. Learn about cutting-edge browser-based visual analytics tools being developed to help city planners and local government officials generate actionable insights from these new data sources. Gain valuable insights into how data-centric engineering can optimize existing infrastructure usage, potentially improving traffic network performance without major new investments. Hear from experts Scott Hale, Jonathan Bright, Chico Camargo, and Graham McNeill as they discuss their research on multilingualism, user experience, human mobility, digital politics, and spatio-temporal data visualization in the context of urban transportation challenges.

Transnet: Understanding traffic with open data and visualization