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This document explores the process of balancing a trip matrix through the application of balancing factors. Initially, an estimated column sum and row sum are provided. By calculating the balancing factors based on desired sums, adjustments are made to the initial guess. The paper details the iterative process used to achieve an exactly balanced rowsum and column sum, highlighting changes in the balancing factors and their effects on matrix values. Key methods and calculations are thoroughly explained, leading to an optimized trip matrix representation.
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Columnsum Rowsum
Doublyconstrainedmodel Desired Columnsum Dj Desired Rowsum Oi
11/6=1.8333 Balancingfactor
11/6=1.8333 Weneed to multiply first row with 1.8333 Balancingfactor
ApplyingbalancingfactorAi on initial guess, we get a new tripmatrix in the first iteration Exactlybalanced Rowsum
ApplyingbalancingfactorAi on initial guess, we get a new tripmatrix in the first iteration Columnsum still off Exactlybalanced Rowsum
ApplyingbalancingfactorAi on initial guess, we get a new tripmatrix in the first iteration Balancingfactor Bj Exactlybalanced Rowsum
ApplyingbalancingfactorAi on initial guess, we get a new tripmatrix in the first iteration Balancingfactor Bj 13/11.309=1.149 Exactlybalanced Rowsum
Columnsum exactlybalanced
Columnsum exactlybalanced Butnow Rowsumoff!
New balancingfactors for the rows Butnow Rowsumoff!