Agent-based large-scale emergency evacuation using real-time open government data.
Advanced Search
Select up to three search categories and corresponding keywords using the fields to the right. Refer to the Help section for more detailed instructions.

Search our Collections & Repository

For very narrow results

When looking for a specific result

Best used for discovery & interchangable words

Recommended to be used in conjunction with other fields

Dates

to

Document Data
Library
People
Clear All
Clear All

For additional assistance using the Custom Query please check out our Help Page

i

Agent-based large-scale emergency evacuation using real-time open government data.

Filetype[PDF-1.02 MB]


English
Details You May Also Like

Details:

  • Creators:
  • Corporate Creators:
    Oak Ridge National Laboratory
  • Subject/TRT Terms:
  • Resource Type:
    Tech Report
  • Geographical Coverage:
    Seattle (Washington)
  • Corporate Publisher:
    Oak Ridge National Laboratory
  • Abstract:
    The open government initiatives have provided tremendous data resources for the

    transportation system and emergency services in urban areas. This paper proposes

    a traffic simulation framework using high temporal resolution demographic data

    and real time open government data for evacuation planning and operation. A

    comparison study using real-world data in Seattle, Washington is conducted to

    evaluate the framework accuracy and evacuation efficiency. The successful

    simulations of selected area prove the concept to take advantage open government

    data, open source data, and high resolution demographic data in emergency

    management domain. There are two aspects of parameters considered in this study:

    user equilibrium (UE) conditions of traffic assignment model (simple Non-UE vs.

    iterative UE) and data temporal resolution (Daytime vs. Nighttime). Evacuation

    arrival rate, average travel time, and computation time are adopted as Measure of

    Effectiveness (MOE) for evacuation performance analysis. The temporal

    resolution of demographic data has significant impacts on urban transportation

    dynamics during evacuation scenarios. Better evacuation performance estimation

    can be approached by integrating both Non-UE and UE scenarios. The new

    framework shows flexibility in implementing different evacuation strategies and

    accuracy in evacuation performance. The use of this framework can be explored to

    day-to-day traffic assignment to support daily traffic operations.

  • Format:
    PDF
  • Collection(s):
  • Main Document Checksum:
  • Download URL:
  • File Type:

Supporting Files

  • No Additional Files
More +

You May Also Like

Checkout today's featured content at rosap.ntl.bts.gov