Abstract
This note develops asymptotic formulae for single-commodity network flow problems with random inputs. The transportation linear programming problem (TLP) where N points lie in a region of R1 is one example. It is found that the average distance traveled by an item in the TLP increases with N1/2; i.e., the unit cost is unbounded when N and the length of the region are increased in a fixed ratio. Further, the optimum distance does not converge in probability to the average value. These one-dimensional results are a useful stepping stone toward a network theory for two and higher dimensions.
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Research supported in part by the University of California Transportation Center.
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Daganzo, C.F., Smilowitz, K.R. A note on asymptotic formulae for one-dimensional network flow problems. Ann Oper Res 144, 153–160 (2006). https://doi.org/10.1007/s10479-006-0010-2
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DOI: https://doi.org/10.1007/s10479-006-0010-2