Mathematical Analysis of Traffic Detection Systems Using Unreliable Sensors,

Abstract

The report discusses an initial attempt to deal with a new class of applied mathematical problems: how to extract information optimally from emplaced fields of sensors. These problems are relevant to interdiction and border security. The basic sensor model assumes that each sensor is subject to both false alarms and detection failures. The analytical assumptions contained in this statistical model represent a compromise between the opposing demands of realism and mathematical tractability. Methods are presented for determining the properties of traffic flow that can be derived from the data produced by one such unreliable sensor, and by 2 or more of them. A method is given for formulating a suboptimal strategy for deploying a fixed number of perfectly reliable sensors to monitor a territorial border. An understanding of probability theory is assumed; detailed derivations are included as appendices. (Author)

Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1971
Accession Number
AD0729756

Entities

People

  • A. P. Ciervo

Organizations

  • RAND Corporation

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Border Security
  • Detection
  • Detectors
  • False Alarms
  • Interdiction
  • Malleability
  • Mathematical Analysis
  • Probability
  • Security
  • Warning Systems

Readers

  • Operations Research
  • Sensor Fusion and Tracking Systems.
  • Theoretical Analysis.