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.
Language
- English
Project
- Status: Completed
- Funding: $113268
-
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)
- Files: UTC, RIP
- Created Date: Apr 12 2018 12:27AM