Integrated Analytics and Visualization for Multi-modality Transportation Data

The goal is to develop a pedestrian dynamics model based on a data-driven approach that uses a collection of tens of millions of images to build accurate models of pedestrian dynamics.

• Record URL:
  • http://c2smart.engineering.nyu.edu/integrated-analytics-and-visualization

Language

• English

Project

• Status: Completed
• Funding: $113268
• Contract Numbers:

  69A3551747124

• Sponsor Organizations:

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Managing Organizations:

  Connected Cities for Smart Mobility towards Accessible and Resilient Transportation Center (C2SMART)

  New York University
  Tandon School of Engineering
  Brooklyn, NY  United States 
• Performing Organizations:

  Connected Cities for Smart Mobility towards Accessible and Resilient Transportation Center (C2SMART)

  New York University
  Tandon School of Engineering
  Brooklyn, NY  United States 
• Principal Investigators:

  Silva, Claudio

  Freire, Juliana

• Start Date: 20180301
• Expected Completion Date: 20190430
• Actual Completion Date: 20190531
• USDOT Program: University Transportation Centers

Subject/Index Terms

• TRT Terms: Data analysis; Image analysis; Multimodal transportation; Pedestrian movement; Pedestrians; Visualization
• Subject Areas: Data and Information Technology; Operations and Traffic Management; Pedestrians and Bicyclists;

Filing Info

• Accession Number: 01665932
• Record Type: Research project
• Source Agency: Connected Cities for Smart Mobility towards Accessible and Resilient Transportation Center (C2SMART)
• Contract Numbers: 69A3551747124
• Files: UTC, RIP
• Created Date: Apr 12 2018 12:27AM