Analysis of Lane Departure Crashes Leveraging Advanced Driver Assistive Systems (ADAS) Machine Vision Sensing Data PROBLEM

The goal of this research is to develop a new technical framework to quantify contribution factors of lane departure crashes in Washington leveraging emerging machine vision data collected by Advanced Driver Assistive Systems (ADAS)-equipped vehicles. Under this goal, the research teams (WSU and VSI lab) aim to achieve three specific objectives: (1) collect machine vision data using ADAS-equipped vehicles; (2) develop methods to retrieve lane marking and other road conditions from the collected machine vision data; and (3) quantify contributions of different factors in lane departure crashes.

Language

• English

Project

• Status: Active
• Funding: $100000
• Contract Numbers:

  T1462-39

• Sponsor Organizations:

  Washington State Department of Transportation

  Transportation Building
  Olympia, WA  United States  98504
• Managing Organizations:

  Washington State Department of Transportation

  Transportation Building
  Olympia, WA  United States  98504
• Project Managers:

  Brodin, Doug

• Performing Organizations:

  Washington State University, Pullman

  Civil & Environmental Engineering Department
  PO Box 642910
  Pullman, WA  United States  99164-2910
• Principal Investigators:

  Li, Jia

• Start Date: 20230701
• Expected Completion Date: 20241231
• Actual Completion Date: 0

Subject/Index Terms

• TRT Terms: Crash analysis; Data collection; Driver support systems; Machine vision; Ran off road crashes; Road markings; Traffic lanes
• Geographic Terms: Washington (State)
• Subject Areas: Data and Information Technology; Highways; Safety and Human Factors;

Filing Info

• Accession Number: 01902112
• Record Type: Research project
• Source Agency: Washington State Department of Transportation
• Contract Numbers: T1462-39
• Files: RIP, STATEDOT
• Created Date: Dec 14 2023 1:52PM