Digitizing Traffic Control Infrastructure for Autonomous Vehicles (AV)

High precision road maps are a crucial component to facilitating autonomous driving techniques. Autonomous vehicles (AVs) are experiencing exponential growth. According to the latest forecast from IHS Markit, over 33 million AVs will be on the road globally by 2040, posing a higher requirement to ensure AVs’ driving safety. Although current AVs rely on vehicular sensing techniques (e.g., Camera, Lidar, Radar), studies have suggested that creating high-quality road maps with traffic control infrastructures (TCIs) (e.g., traffic signs, signals, intersections) precisely digitized is necessary to enhance safe-driving operations of AVs. Meanwhile, digitizing TCIs is also of great importance for road assets planning and management. However, a readily available database with precisely digitized TCIs is still missing in most areas. Traditionally, TCIs are manually digitized by conducting field studies, which is time-consuming and labor-intensive. With the advancement of data collection and processing techniques, numerous emerging data sources are becoming available, posing great potential to capture and digitize TCIs more efficiently. This project shall recommend an effective framework for the digitization, maintenance, and sharing of Receiving Agency roadway assets, especially for TCIs. The Performing Agency shall evaluate commercially available solutions and propose new approaches by leveraging emerging data sources and techniques.

• Record URL:
  https://library.ctr.utexas.edu/Presto/project=0-7128

Language

• English

Project

• Status: Active
• Funding: $359394
• Contract Numbers:

  0-7128

• Sponsor Organizations:

  Texas Department of Transportation

  125 E. 11th Street
  Austin, TX  United States  78701-2483
• Managing Organizations:

  Texas Department of Transportation

  125 E. 11th Street
  Austin, TX  United States  78701-2483
• Project Managers:

  Steele, Joanne

• Performing Organizations:

  Texas A&M Transportation Institute

  Texas A&M University System
  3135 TAMU
  College Station, TX  United States  77843-3135

  The University of Texas at Dallas

  800 W. Campbell Rd
  Richardson, TX  United States  75080
• Principal Investigators:

  Wu, Jason

• Start Date: 20210901
• Expected Completion Date: 20230831
• Actual Completion Date: 0

Subject/Index Terms

• TRT Terms: Alternatives analysis; Autonomous vehicles; Blockchains; Connected vehicles; Data collection; Digitization; Highway traffic control systems; Signalized intersections; Traffic signs
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Vehicles and Equipment;

Filing Info

• Accession Number: 01782710
• Record Type: Research project
• Source Agency: Texas Department of Transportation
• Contract Numbers: 0-7128
• Files: RIP, STATEDOT
• Created Date: Sep 23 2021 11:33AM