Spectral Based Controllability-Preserving Pedestrian Evacuation Network Synthesis Using Multilayered Estimation Models in Real-time

The pedestrian evacuation problem is highly stochastic due to the extreme uncertainty associated with the failures caused by natural and man-made disasters. Thus, adopting a predetermined evacuation plan may be inadequate. On the other hand, it is difficult to design evacuation plans to address every possible scenario of failure. The availability of real-time information about the pedestrian network becomes vital for timely deployment of effective and case-specific evacuation strategies. In addition to the structural failures, operational failures are at hand due to the unpredictability of human behavior and decision making ability under stress rendering certain links within the network unusable. Therefore, in addition to maximizing the outflow of the network, preserving network controllability in real-time under the synthesized evacuation plans becomes crucial. The main objective of this proposal is to synthesize evacuation subnetworks in real-time that maximize outflow and maintain controllability of the pedestrian network based on multi-layered estimation schema.

• Record URL:
  http://www.utrc2.org/research/projects/spectral-based-controllability

Language

• English

Project

• Status: Completed
• Funding: $23662.00
• Contract Numbers:

  49198-17-27

• Sponsor Organizations:

  University Transportation Research Center

  City College of New York
  Marshak Hall, Suite 910, 160 Convent Avenue
  New York, NY  United States  10031
• Project Managers:

  Thorson, Ellen

  Eickemeyer, Penny

• Performing Organizations:

  State University of New York (SUNY)- Maritime

  6 Pennyfield Avenue
  Throggs Neck, NY  United States  10465
• Principal Investigators:

  Shlayan, Neveen

• Start Date: 20150601
• Expected Completion Date: 0
• Actual Completion Date: 20170930
• Source Data: RiP Project 39768

Subject/Index Terms

• TRT Terms: Behavior; Decision making; Disasters and emergency operations; Evacuation; Pedestrian traffic; Real time information
• Subject Areas: Data and Information Technology; Pedestrians and Bicyclists; Safety and Human Factors;

Filing Info

• Accession Number: 01565939
• Record Type: Research project
• Source Agency: University Transportation Research Center
• Contract Numbers: 49198-17-27
• Files: UTC, RIP
• Created Date: Jun 6 2015 1:00AM