Understanding Mobility Patterns and Decision-making Using an Integrated, Multi-modal Sensing Platform in a Quantified Community
A dataset of more than 500,000,000 WiFi probe requests from mobile devices, together with land use, demographic, and city administrative data, from an urban test-bed in New York City is being used to develop high resolution pedestrian mobility models in dense urban environments.
Language
- English
Project
- Status: Completed
- Funding: $142,794
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Contract Numbers:
69A3551747124
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Sponsor Organizations:
Connected Cities for Smart Mobility towards Accessible and Resilient Transportation Center (C2SMART)
New York University
Tandon School of Engineering
Brooklyn, NY United StatesOffice 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:
Kontokosta, Constantine
- Start Date: 20170301
- Expected Completion Date: 20190831
- Actual Completion Date: 20190930
- USDOT Program: University Transportation Centers
Subject/Index Terms
- TRT Terms: Cities; Data collection; Decision making; Demographics; Land use; Mobile communication systems; Mobility; Pedestrians; Travel demand; Travel patterns
- Geographic Terms: New York (New York)
- Subject Areas: Data and Information Technology; Pedestrians and Bicyclists; Planning and Forecasting;
Filing Info
- Accession Number: 01648515
- 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: Oct 17 2017 12:55PM