PRACTICAL ESTIMATION OF TRAFFIC ACCIDENTS AT INTERSECTIONS BY NEURAL NETWORK

The safety project has been considered in terms of cost-effectiveness with budget constraints. The basic concept is to choose the proper intersection improved as a profitable traffic safety management. The accurate estimation for traffic accident with several factors should be proposed. The neural network (NN) is applied to describe the non-linear relationship between traffic accidents and the physical factors. The numerical example is given to show the performance of the approach. As the practical estimation model is created, the impact of traffic safety project can be measured though the change of traffic conditions at intersections. For the covering abstract see ITRD E114174.

• Corporate Authors:

  ERTICO

  326 Avenue Louis
  Brussels,   Belgium  B-1050

  ITS America

  1100 17th Street, NW, 12th Floor
  Washington, DC  United States  20036

  VERTIS

  TORANOMOM 34 MORI BUILDING 1-25-5
  TORANOMON, MINATOKU, TOKYO 105  Japan 
• Authors:
  • Akiyama, T
  • KOTANI, Y
  • Suzuki, T
• Conference:
  • PROCEEDINGS OF THE 7TH WORLD CONGRESS ON INTELLIGENT SYSTEMS
  • Location: Turin , Italy
  • Date: 2000-11-6 to 2000-11-9
• Publication Date: 2000

Language

• English

Media Info

• Features: References;
• Pagination: 9 p.

Subject/Index Terms

• TRT Terms: Conferences; High risk drivers; High risk locations; Improvements; Intelligent transportation systems; Intersections; Layout; Mathematical models; Safety
• ITRD Terms: 1663: Accident black spot; 2279: Accident proneness; 8525: Conference; 9108: Improvement; 8735: Intelligent transport system; 455: Junction; 2885: Layout; 6473: Mathematical model; 1665: Safety
• Subject Areas: Highways; Operations and Traffic Management; Safety and Human Factors;

Filing Info

• Accession Number: 00937632
• Record Type: Publication
• Source Agency: Transport Research Laboratory
• Files: ITRD
• Created Date: Feb 5 2003 12:00AM