Building stronger transportation networks for today and tomorrow
by using real-time and historical data


The proposed web-based data analysis/visualization tool would allow travelers, transportation planners, and policy decision-makers to find "best solutions" for current and potential future transportation problems and to make informed decisions using the existing public transportation-related data. The tool would be designed as a component that can be fully integrated into "Congestion Management," "Emergency Planning," and "Travel Time Optimization" systems. It would therefore serve two main purposes: 1) to provide and disseminate travel information to the general public and 2) to provide a robust analytical tool to policy-makers and planners. Information gleaned from this tool would help travelers (drivers and transit customers alike) with not only making more informed transportation access and congestion management decisions, but also with protecting their safety during extreme and unexpected events, such as snowstorms, hurricanes, and wildfires. It would also provide decision-makers and planners with the ability to perform analysis for emergency response and routing during special events.

Paper

Visual Exploration of Big Spatio-Temporal Urban Data: A Study of New York City Taxi Trips
IEEE Transactions on Visualization and Computer Graphics, v. 19 (12), p. 2149-2158, 2013.

Video

TaxiVis (31MB)
Web-based visualization of MTA tracking data (37MB)
Using Topological Analysis to Support Event-Guided Exploration (19MB)

Team

AKRF, Inc.

NYC DOT

NYU CUSP