Quantifying uncertainty and distributed adaptive control for unanticipated traffic patterns as a result of major natural and man-made disruptions
The project aims to develop control tools (algorithms) for traffic management in congested urban networks in a way that (i) takes advantage of data made available to intersection controllers by the vehicles and (ii) adapts to dramatic changes in traffic conditions (namely, incidents and no-notice emergency management events). The first part of the research quantifies uncertainty in traffic conditions due to data and data processing limitations, the second part of the research utilizes this understanding of uncertainty to develop scalable and robust control techniques.
- Record URL:
Language
- English
Project
- Status: Completed
- Funding: $119058
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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:
Jabari, Saif
- Start Date: 20171001
- Expected Completion Date: 20181031
- Actual Completion Date: 20181031
- USDOT Program: University Transportation Centers
Subject/Index Terms
- TRT Terms: Algorithms; Emergencies; Highway traffic control; Traffic congestion; Traffic incidents; Uncertainty; Urban areas
- Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Security and Emergencies;
Filing Info
- Accession Number: 01648513
- Record Type: Research project
- Source Agency: Connected Cities for Smart Mobility towards Accessible and Resilient Transportation Center (C2SMART)
- Files: UTC, RIP
- Created Date: Oct 17 2017 12:43PM