Intelligent Transportation Network Decision Support with Real-time Routing and Data Analytics

Details

• Creators:
  Demir, Ibrahim ; Campbell, Ann M
• Corporate Creators:
  University of Iowa ; University of Nebraska. Mid-America Transportation Center
• Corporate Contributors:
  United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
• Subject/TRT Terms:
  • Artificial intelligence
  • Data analysis
  • Decision support systems
  • Disasters and emergency operations
  • Evacuation
  • Floods
  • Real time information
  • Routing
  • Wayfinding
• Publication/ Report Number:
  25-1121-3002-102
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Edition:
  June 2023-July 2024
• Corporate Publisher:
  University of Nebraska-Lincoln. Mid-America Transportation Center
• Abstract:
  This project aims to develop a real-time data analytics framework for transportation network analysis during disasters, focusing on flooding. By integrating wayfinding techniques with dynamic data from DOT and federal agencies, it provides emergency services and residents with real-time routing options and information on shelters. Initially piloted in flood- prone Iowa cities, the framework will eventually include AI-driven decision making and communication features. It will also accommodate factors like road conditions, traffic, and population changes to ensure its effectiveness during emergency situations.
• Format:
  PDF
• Funding:
  69A3552348307
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/85150/dot_85150_DS1.pdf
• File Type:
  [PDF - 2.53 MB]
• Collection(s):
  University Transportation Centers
• Main Document Checksum:
  urn:sha-512:f63d98daf7ae31a68fe5406c5ecdfabe06c4af9f839202b156d4e1446a0dbd8690e3bd89c87a09167196e300db2b5e1d26ea1389b740cc875d5f5669f8aa4b22