ANALYSIS OF TEST DATA FROM AN AUTOMATIC VEHICLE MONITORING (AVM) TEST

Data collected during a test of the location sub-system of four Automatic Vehicle Monitoring (AVM) systems in Philadelphia have been examined to determine characteristics useful in the employment of each technique in an operational system. A properly chosen algorithm can give accurate time point results of buses stopping at bus stops, but the addition of a door switch can provide greater reliability. Components of location error of each system can be fit graphically on normal probability paper, using linear segments with two different slopes. Some of the error components can be fit very well by a probability distribution composed of a sum of two normal distributions. The resultant distribtuion has more small errors and more large errors than would result from a single normal distribution. Although most systems exhibit a statristically significant bias, which could be removed during the location determination process, the amount is small compared to system requirements. Incorporation of signpost data improved LORAN-only accuracy approximately threefold. /Author/

• Supplemental Notes:
  • This paper was presented at the 28th IEEE Vehicular Technology Conference at Denver, Colorado, March 22-24, 1978. Sponsored by the IEEE Vehicular Technology Society and the Denver Section, IEEE with the cooperation of the VTS Denver Chapter and the Administrative Committee of VTS.
• Corporate Authors:

  Institute of Electrical and Electronics Engineers (IEEE)

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• Authors:
  • Ludwick Jr, J S
• Conference:
  • This paper was presented at the 28th IEEE Vehicular Technology Conference at Denver, Colorado, March 22-24, 1978. Sponsored by the IEEE Vehicular Technology Society and the Denver Section, IEEE with the cooperation of the VTS Denver Chapter and the Admin
• Publication Date: 1978

Media Info

• Features: Figures; References; Tables;
• Pagination: p. 23-33

Subject/Index Terms

• TRT Terms: Algorithms; Automatic vehicle monitoring; Communication systems; Data analysis; Location; Loran; Mathematical analysis; Reliability; Statistical analysis
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management;

Filing Info

• Accession Number: 00184853
• Record Type: Publication
• Files: TRIS
• Created Date: Feb 3 1979 12:00AM