Premium
A COMPUTER‐BASED METHOD FOR PREDICTING TRANSIT TIME PARAMETERS USING GRID SYSTEMS
Author(s) -
Camp Robert C.,
DeHayes Daniel W.
Publication year - 1974
Publication title -
decision sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.238
H-Index - 108
eISSN - 1540-5915
pISSN - 0011-7315
DOI - 10.1111/j.1540-5915.1974.tb00620.x
Subject(s) - variance (accounting) , computer science , transit (satellite) , grid , transit system , reliability (semiconductor) , sample (material) , travel time , transit time , operations research , power grid , public transport , data mining , power (physics) , transport engineering , engineering , mathematics , chemistry , physics , geometry , accounting , chromatography , quantum mechanics , business
This article reviews a computer‐based method to predict transit time parameters (mean and variance) from historical data for use in logistics planning analysis. Efficient use of the data depends on relating it to a grid system of the United States. Performance of the technique on a sample of shipments by four methods of transportation is compared to a system based solely on highway distance. The techniques perform equally well for average transit time (speed). The grid system method demonstrates superior predicting power for reliability (transit time variance). Use of the system in daily operations is also anticipated.