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

In the face of natural disasters, such as flooding, communities grapple with profound social, environmental, and economic upheavals. Transportation infrastructure emerges as the backbone of recovery, yet flooding often jeopardizes its functionality, cutting off access to critical services. In direct alignment with the strategic goals of enhancing safety, addressing climate-related challenges, and pioneering transformative solutions, this project seeks to innovate how communities respond to and navigate during such crises. The research team envisions a real-time interactive data analytics framework that revolutionizes transportation network analysis, routing, and wayfinding amidst disasters. This advanced tool aims to empower emergency service workers, providing them with real-time insights to navigate flood-stricken networks effectively. Beyond that, the broader community benefits by gaining immediate access to evacuation routes, temporary shelters, and emergency supply storage points. To bring this vision to life, the team will weave in state-of-the-art wayfinding techniques, integrating dynamic data streams from the DOT and federal agencies, ensuring timely flood updates. The pilot will be rooted in Iowa's cities, historically vulnerable to floods, offering a tangible model for real-world impact. But the vision doesn't stop there; the framework's potential will be augmented with AI-driven decision recommendations and voice-enabled AI assistants. By factoring in multifaceted system and environmental variables, from road capacity to geospatial constraints, the team is ensuring a comprehensive, adaptive, and forward-thinking solution, laying the foundation for a safer, more resilient future in transportation during disaster events.

Language

• English

Project

• Status: Active
• Funding: $180000
• Contract Numbers:

  69A3552348307

• 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:

  Mid-America Transportation Center

  University of Nebraska-Lincoln
  2200 Vine Street, PO Box 830851
  Lincoln, NE  United States  68583-0851
• Performing Organizations:

  University of Iowa, Iowa City

  102 Church Street
  Iowa City, IA  United States  52242
• Principal Investigators:

  Demir, Ibrahim

  Campbell, Ann

• Start Date: 20230601
• Expected Completion Date: 20240731
• Actual Completion Date: 0
• USDOT Program: University Transportation Centers Program

Subject/Index Terms

• TRT Terms: Artificial intelligence; Data analysis; Decision support systems; Disasters and emergency operations; Evacuation; Floods; Real time information; Routing; Wayfinding
• Geographic Terms: Iowa
• Subject Areas: Data and Information Technology; Highways; Planning and Forecasting; Security and Emergencies;

Filing Info

• Accession Number: 01908392
• Record Type: Research project
• Source Agency: Mid-America Transportation Center
• Contract Numbers: 69A3552348307
• Files: UTC, RIP
• Created Date: Feb 19 2024 4:49PM