Urban Computing
summary
Overview of a concrete system: Uber shows Kepler.gl visualizations and an Uber Movement open dataset of anonymized aggregates from over two billion trips, layered with DOT and NYPD crash points to diagnose a Dec 27 2017 Canal and Bowery fatality. Visuals render millions of data points with WebGL to reveal road segments with sustained speeds above limits hour by hour, tie speeding to roughly 10,000 of 40,000 annual US traffic deaths, and propose open-source frameworks and governance to scale solutions.
AI-written summary · about
chapters (6)
- 0:00Start
- 5:38Kepler.gl for Cities: GIS for Urban Computing
- 6:42Visualization Frameworks for Urban Computing
- 7:37Uber Movement
- 8:19Supporting the Broader Community
- 9:19Building an Open Source Community for Urban Computing
related talks
49mSaving the world with JavaScript: A Data Visualization story
23mUber and Europe: Partnering to Enable City Transformation I
25mAtlas of Popular Transport: Democratizing mobility data
10mSmart Commuting
08mEvil Uses of Data
30mCreate Detailed Traffic Models and Simulations
26mThe Quantified Self in the Smart City: Geo-Visualizing the Open Data of YOU
37mVisualizing Large Datasets with JavaScript Using deck.gl
