Intersection Safety -- Ideas, Innovation, Technology

Information and data architectures are critical to the success of complex systems such as intelligent transportation safety applications. While large moving vehicles are well modeled by classic kinematic equations of motion, modeling and predicting the movements of human pedestrians with “free will” is a much more challenging task. This paper describes and details innovative ideas and emerging technology for: 1) local area abstraction (LAA) methods, 2) non- and semi-kinematic prediction processing, and 3) computation-less processing methods. Adapting such innovative processing methods and open data representations to even the most physical scenarios and problems yields a final solution that is more portable, flexible and tunable to meet system requirements.

• Corporate Authors:

  ITS America

  1100 17th Street, NW, 12th Floor
  Washington, DC  United States  20036
• Authors:
  • Richardson, J R
• Conference:
  • ITS America 20th Annual Meeting & Exposition
  • Location: Houston TX, United States
  • Date: 2010-5-3 to 2010-5-5
• Publication Date: 2010

Language

• English

Media Info

• Media Type: CD-ROM
• Features: Figures; Photos; Tables;
• Pagination: 9p
• Monograph Title: ITS America 20th Annual Meeting & Exposition

Subject/Index Terms

• TRT Terms: Intelligent transportation systems; Intersections; Kinematics; Pedestrian areas; Pedestrian movement; Pedestrian safety; Pedestrian traffic; Technological innovations; Traffic safety
• Uncontrolled Terms: Data architecture
• Subject Areas: Pedestrians and Bicyclists; Planning and Forecasting; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01342711
• Record Type: Publication
• Files: TRIS
• Created Date: Jun 23 2011 9:07AM