Pavement Marking Patterns and Widths – Human Factors Study

The principal focus of this study is to investigate appropriate pavement marking dimensions and contrast with respect to human vision and driver comfort. As a secondary effort, this research will also evaluate the implications of pavement marking dimensions on machine vision technology that is used in Advanced Driver Assistance Systems (ADAS) and automated vehicles (AVs). The results of this study will provide insight as to how MnDOT can effectively leverage its resources to provide pavement markings that effectively meet the needs of all road users.

Language

• English

Project

• Status: Active
• Funding: $208890
• Contract Numbers:

  1003324 WO#7

• Sponsor Organizations:

  Minnesota Department of Transportation

  395 John Ireland Boulevard
  St Paul, MN  United States  55155
• 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: 20191014
• Expected Completion Date: 20240331
• Actual Completion Date: 0

Subject/Index Terms

• TRT Terms: Autonomous vehicles; Comfort; Driver support systems; Drivers; Human factors; Lane lines; Machine vision; Road markings; Vision
• Subject Areas: Highways; Pavements; Safety and Human Factors; Vehicles and Equipment;

Filing Info

• Accession Number: 01691173
• Record Type: Research project
• Source Agency: Minnesota Department of Transportation
• Contract Numbers: 1003324 WO#7
• Files: RIP, STATEDOT
• Created Date: Jan 22 2019 2:27PM