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
Contract Numbers:
69A3551847102

CAIT-UTC-REG26
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
Performing Organizations:
Center for Advanced Infrastructure and Transportation

Rutgers University
100 Brett Road
Piscataway, NJ United States 08854-8058

New 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