Freeway Guide Sign Performance at Complex Interchanges: Reducing Information Overload
Project Information
Project ID:
FHWA-PROJ-20-0023
Project Abstract:
Complex freeway interchanges are known to be difficult to navigate. Transportation agencies are urgently in need of detailed and performance-based guidelines for guide sign design at freeway interchanges.
This study will fully demonstrate the power of the Strategic Highway Research Program (SHRP) 2 Naturalistic Driving Study data towards the following much needed research breakthroughs:
- Field data-based freeway interchange guide sign information overload thresholds (per location and for sign sequences) by roadway, traffic, background, and visibility conditions.
- Impacts of sign information complexity levels on driver behavior relevant to safety.
- Guidelines to reduce information overload and improve sign spreading.
- Recommendations for changes to existing freeway signing standards and manuals.
The findings of this project will provide practical and field data-supported sign performance metrics at complex freeway interchanges that will likely significantly improve existing signing guidelines and tools. Freeway interchanges are crash hotspots; therefore, the findings of this study can be directly translated to large reductions in fatalities and injuries.
Project Status:
Active
Project Funding Amount (Contract Award Amount):
$349,785.00
Start Date:
End Date:
Public Access Plan:
Yes
Laboratory:
Grant/Contract ID:
- 693JJ320F000050
FHWA Program Area:
- Safety
Fiscal Year / AMRP Program / AMRP Activity:
- FY 2002-2022 / Safety / Safety Data and Analysis
FHWA Activity:
- Naturalistic Driving Study Pooled Fund
AMRP = Annual Modal Research Plan
Contact Information
Management Organizations
Sponsor Organization
Organization Role:
Sponsor Organization
Organization:
Federal Highway Administration: Office of Research, Development and Technology - Office of Safety and Operations Research and Development
Performing Organization
Organization Role:
Performing Organization
Organization:
Virginia Tech Transportation Institute