Passenger Flow Modeling and Simulation in Transit Stations
Passenger flow is a very important parameter for understanding how passengers interact with built infrastructure. The primary goal of this proposal is to model and simulate passenger flows in transit stations using computer vision and agent-based simulation technologies. The information generated during the performance of this project can potentially be used by NJ Transit to understand the benefit of infrastructure design or upgrade in terms of changing passenger flow and reducing congestion.
- Record URL:
Language
- English
Project
- Status: Active
- Funding: $80000
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Contract Numbers:
69A3551847102
CAIT-UTC-REG26
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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:
Center for Advanced Infrastructure and Transportation
Rutgers University
100 Brett Road
Piscataway, NJ United States 08854-8058 -
Project Managers:
Szary, Patrick
Mason, Brad
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Performing Organizations:
Center for Advanced Infrastructure and Transportation
Rutgers University
100 Brett Road
Piscataway, NJ United States 08854-8058New Jersey Transit Corporation
1 Penn Plaza East
Newark, NJ United States 07105-2246 -
Principal Investigators:
Lui, Xiang
- Start Date: 20191101
- Expected Completion Date: 20201031
- Actual Completion Date: 0
- USDOT Program: University Transportation Centers Program
Subject/Index Terms
- TRT Terms: Computer vision; Passenger traffic; Rail transit stations; Simulation; Traffic flow; Transit riders
- Identifier Terms: New Jersey Transit
- Subject Areas: Passenger Transportation; Planning and Forecasting; Public Transportation; Railroads; Terminals and Facilities;
Filing Info
- Accession Number: 01722458
- Record Type: Research project
- Source Agency: Center for Advanced Infrastructure and Transportation
- Contract Numbers: 69A3551847102, CAIT-UTC-REG26
- Files: UTC, RiP
- Created Date: Nov 14 2019 4:32PM