ROAD SURFACE CONDITION SENSING ALGORITHM BY USING FUZZY INFERENCE FOR LASER RADAR SYSTEM

A road surface condition sensing system for Advanced Cruise-Assist Highway System (AHS) has been researched since 1996. Although road surface conditions are indicated with qualitative expressions such as dry, wet, snow-covered or frozen, for vehicle control application, it is necessary to provide information by converting to quantitative values such as road surface friction coefficient. Thus, it is necessary to detect or recognize the degree of dryness or wetness of the road surface. Fuzzy inference is an effective method for quantifying the state that is indicated by the degree of the road surface condition. Therefore, a road surface condition sensing system that employs fuzzy inference in the basic algorithm was developed. Laser radar was used as the sensor head that is able to measure the distance from round trip traveling time of pulsed laser beam and the intensity of the reflected light simultaneously. The system and the inference algorithm are outlined. In addition, the effectiveness of this sensing system for collecting road maintenance information was investigated. 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:
    • SASADA, Y
    • Takagi, K
  • Conference:
  • Publication Date: 2000

Language

  • English

Media Info

  • Features: References;
  • Pagination: 8 p.

Subject/Index Terms

Filing Info

  • Accession Number: 00933533
  • Record Type: Publication
  • Source Agency: Transport Research Laboratory
  • Files: ITRD
  • Created Date: Nov 7 2002 12:00AM