SEARCH AND CHOICE IN TRANSPORT SYSTEMS PLANNING. VOLUME XVII. DECISION THEORETIC TECHNIQUES FOR INFORMATION ACQUISITION IN TRANSPORTATION PLANNING.

Abstract

The problem is defined in terms of the need for a rational procedure to allocate resources to information acquisition activities in the uncertain environment of transportation decision making. Models are formulated for selecting an optimal information acquisition activity to estimate the current state of travel demand. A general model is postulated based on concepts of statistical decision theory. A model for independent projects is described and demonstrated with a simple application and a simulation analysis of the most important model parameters. A network model is formulated with a global demand function. (Author)

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1969
Accession Number
AD0693093

Entities

People

  • William F. Johnson

Organizations

  • Massachusetts Institute of Technology

Tags

DTIC Thesaurus Topics

  • Acquisition
  • Data Science
  • Decision Theory
  • Environment
  • Information Science
  • Marine Transportation
  • Simulations
  • Statistical Decision Theory
  • Surface Transportation
  • Transport Ships
  • Transportation

Readers

  • Business Analytics
  • Computational Modeling and Simulation
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - DoD AI Strategy
  • AI & ML - Machine Learning Algorithms