Analyzing the Impact of Autonomous Maintenance Technology to Transportation Infrastructure Capacity for Condition Monitoring and Performance Management

The Autonomous Maintenance Technology (AMT) is a quickly emerging autonomous-vehicle-based technology for improving transportation infrastructure maintenance by removing drivers from risk. This project will develop models and algorithms to reveal its fundamental operating mechanism, and analyze its impact to transportation capacity for infrastructure condition monitoring and performance management. Newell car following model and moving-bottleneck-based traffic flow theory will be utilized to mathematically derive the roadway capacity under different scenarios. Multiple sensors, including high resolution Global Positioning System (GPS), Light Detection and Ranging (LiDAR), Radar, high definition camera, accelerometer and gyroscope installed on the AMT vehicles will collect real data from the field for model validations.

• Record URL:
  https://tridurle.wsu.edu/condition-monitoring-and-performance-management/

Language

• English

Project

• Status: Active
• Funding: $104624
• Contract Numbers:

  ORSO 135461

• Sponsor Organizations:

  Transportation Infrastructure Durability & Life Extension

  Washington State University
  Civil & Environmental Engineering
  Pullman, Washington  United States  99164

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Managing Organizations:

  Transportation Infrastructure Durability & Life Extension

  Washington State University
  Civil & Environmental Engineering
  Pullman, Washington  United States  99164
• Project Managers:

  Kline, Robin

• Performing Organizations:

  Missouri University of Science & Technology, Rolla

  Department of Engineering
  202 University Center
  Rolla, MO    65409
• Principal Investigators:

  Hu, Xianbiao

• Start Date: 20200501
• Expected Completion Date: 20220930
• Actual Completion Date: 0
• USDOT Program: University Transportation Centers

Subject/Index Terms

• TRT Terms: Algorithms; Autonomous vehicles; Car following; Highway capacity; Highway maintenance; Maintenance equipment; Sensors; Traffic flow
• Subject Areas: Data and Information Technology; Highways; Maintenance and Preservation; Vehicles and Equipment;

Filing Info

• Accession Number: 01754236
• Record Type: Research project
• Source Agency: National Center for Transportation Infrastructure Durability and Life-Extension
• Contract Numbers: ORSO 135461
• Files: UTC, RIP
• Created Date: Oct 5 2020 4:58PM