PARKING AVAILABILITY DISCRIMINATION SYSTEMS FOR EXPRESSWAY PARKING AREAS

Two types of parking availability discrimination systems exist--one detects vehicles with a counting system at the entrance and exit, and the other processes images of the vehicles in the parking area. This paper describes the image processing/neural network system used at Ashigara service area of Tomei Expressway and the counting system used at Higashi-Osaka parking area. At Ashigara, drivers cannot evaluate parking space availability at the entrance. To address this situation, images taken by closed circuit television (CCTV) cameras atop light towers are used for discrimination. The cameras cover 50 percent of the total parking area, and a field test verified that the neural network achieves 90 percent correct discrimination with a camera coverage of 40 percent of the area by means of analyzing the relationship between the partial monitoring rate and the accuracy rate of the discrimination. In contrast, Higashi-Osaki parking area is located below an elevated bridge and the system that reads license plate numbers using CCTV cameras at the entrance and exit to discriminate the parking status is employed, matching the license plate number and subtracting the number of vehicles. Congestion and physical location of this parking area make image processing impossible.

  • Supplemental Notes:
    • Five volumes of papers and one volume of abstracts comprise the published set of conference materials.
  • Corporate Authors:

    VERTIS

    TORANOMOM 34 MORI BUILDING 1-25-5
    TORANOMON, MINATOKU, TOKYO 105  Japan 
  • Authors:
    • Noda, S
    • TEJIMA, H
    • Yamada, M
    • Onodera, H
    • Horiba, I
  • Conference:
  • Publication Date: 1995-11

Language

  • English

Media Info

  • Pagination: p. 191

Subject/Index Terms

Filing Info

  • Accession Number: 00719273
  • Record Type: Publication
  • Report/Paper Numbers: Volume 1
  • Files: TRIS
  • Created Date: Mar 11 1996 12:00AM