Delay Estimation on Congested Waterways

Abstract

A simulation model has been developed for estimating delays on congested waterways and a numerical method has been developed to approximate the results of the simulation model. The structural relations in the numerical method were largely based on exact analytic results from queueing theory while their unknown parameters were estimated statistically with results from the simulation model. The numerical method is valuable for screening improvement alternatives, while the simulation model is valuable for very detailed and accurate analysis. The simulation model is microscopic and event-scanning. It can accommodate generally distributed trip generations and service times, unequal parallel servers, and random failure effects. Its outputs include tow travel times along waterways, tow delays at each lock, inventory levels, expected stock-out amounts for commodities transported on waterways, and variances of interarrival and interdeparture times at each lock. The simulation model has been validated in comparisons with established theoretical results and empirical data from the U.S. inlands waterways. Lock delay models, Microscopic simulation model, Numerical method, Networks of queues, Delay function, Algorithm for one-way and two traffic systems variables and input format.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1993
Accession Number
ADA271689

Entities

People

  • Melody D. Dai

Tags

Communities of Interest

  • Ground and Sea Platforms
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Computers
  • Data Mining
  • Data Science
  • Databases
  • Failure Mode And Effect Analysis
  • Information Processing
  • Information Science
  • Knowledge Management
  • Operations Research
  • Queueing Theory
  • Regression Analysis
  • Simulations
  • Statistical Algorithms
  • Surveys
  • Time Intervals
  • Travel Time

Readers

  • Computational Modeling and Simulation
  • Maritime Security/Maritime Homeland Security
  • Mathematical Modeling and Probability Theory.