ACTIVE CAR SAMPLE

Computer program: ACTIVE CAR SAMPLE MASTER FILE. The objective of this program is to provide estimates of car mileage on Southern Railway System for selected groups of cars. The mileage estimates may be any of the following characteristics or combination of characteristics which are obtained from the Umler File and added to the Active Car Master File (age range, AAR car type, truck tonnage capacity, SRS marketing code, cubic foot capacity, nominal capacity, tare weight, lining, outside length, side door width, clearance, bearing type, draft gear travel, truck center length, fittings, compartments, floor type). These mileage estimates are used in calculating failure rates for groups of cars. Examples include studies of (1) derailments by AAR car type and age range, (2) uncouplings by cut-lever type and car cushioning, and (3) broken knuckles and couplers by AAR car type and age range. The input data (consisting of car number and supplemental information obtained by inspection of the car such as air hose arrangements and/or cut-lever type) is collected at selected hump yards for a sample of cars going over the hump. The file is of unlimited length. This method of estimating car population approximates mileage more closely than would ownership figures since cars will be included in the sample in proportion to their movement. The program produces a microfiche listing of all data in the file by car initial and number. Other reports are generated by a general purpose picker program (RSVP) which has the capability to select certain records, to sort them in any order, and to print the selected records with summaries on any field.

  • Corporate Authors:

    Southern Railway System

    99 Spring Street, SW
    Atlanta, GA  United States  30303
  • Authors:
    • Tharpe III, M K
  • Publication Date: 1974-8

Subject/Index Terms

Filing Info

  • Accession Number: 00098759
  • Record Type: Publication
  • Source Agency: American Railway Engineering Association
  • Files: TRIS
  • Created Date: Aug 27 1976 12:00AM