Impacts of Connected Vehicles and Automated Vehicles on State and Local Transportation Agencies--Task-Order Support. Road Markings for Machine Vision

The objective of the research was to develop information on the performance characteristics of pavement markings that affect the ability of machine vision systems to recognize them. This information is expected to be useful to the AASHTO/SAE Working Group as they develop guidelines and criteria. Markings to be studied are center lines [Manual on Uniform Traffic Control Devices (MUTCD) Section 3B.01], no-passing zone markings [MUTCD 3B.02], lane lines [MUTCD 3B.04, including dotted extensions for ramps], and edge lines [MUTCD 3B.06]. Factors to be considered include pavement marking presence, type of marking (flush, raised [MUTCD 3B.11, 3B.12, 3B.13, 3B.14], recessed, or temporary [MUTCD 6F.77, 6F.78, 6F.79]), contrast between the pavement and the marking during daytime conditions (including contrast markings, different angles of the sun, and the effects of shadows), retroreflectivity of the marking during nighttime conditions (including the effect of illumination) and different weather conditions (rain, fog, etc.), pavement uniformity (including sealed cracks and patching), vehicle speed, and the impact of other substances on the road such as snow, sand, salt, and water. It is intended that the work include a range of forward-facing machine vision systems so that the current technologies and those on the horizon can be accommodated.

• Record URL:
  http://apps.trb.org/cmsfeed/TRBNetProjectDisplay.asp?ProjectID=4004

Language

• English

Project

• Status: Completed
• Funding: $200000
• Contract Numbers:

  Project 20-102(06)

• Sponsor Organizations:

  Federal Highway Administration

  1200 New Jersey Avenue, SE
  Washington, DC  United States  20590

  National Cooperative Highway Research Program

  Transportation Research Board
  500 Fifth Street, NW
  Washington, DC  United States  20001

  American Association of State Highway and Transportation Officials (AASHTO)

  444 North Capitol Street, NW
  Washington, DC  United States  20001
• Project Managers:

  Derr, B

• Performing Organizations:

  Texas A&M Transportation Institute, College Station

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

  Pike, Adam

• Start Date: 20160713
• Expected Completion Date: 20180812
• Actual Completion Date: 20180812
• Source Data: RiP Project 40143

Subject/Index Terms

• TRT Terms: Connected vehicles; Contrast; Glare; Highway safety; Intelligent vehicles; Machine vision; Periods of the day; Retroreflectivity; Road markings
• Identifier Terms: American Association of State Highway and Transportation Officials; Society of Automotive Engineers
• Subject Areas: Highways; Operations and Traffic Management; Safety and Human Factors; Vehicles and Equipment;

Filing Info

• Accession Number: 01571785
• Record Type: Research project
• Source Agency: Transportation Research Board
• Contract Numbers: Project 20-102(06)
• Files: TRB, RIP
• Created Date: Jul 30 2015 1:00AM