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

Details

• Creators:
  Lu, Wei ; Liu, Cheng ; Bhaduri, Budhendra L.
• Corporate Creators:
  Oak Ridge National Laboratory
• Subject/TRT Terms:
  • Urban areas
  • Traffic simulation
  • Real time information
  • Evacuation
  • Emergency management
  • Demographics
  • Traffic assignment
• 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.
  More +
• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/28288/dot_28288_DS1.pdf
• File Type:
  [PDF - 1.02 MB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha256:08fc615eb62e4aadfec4774e24b455e65d33dfb99f20b8a9865b4a667d12595c