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Trip distribution forecasting in fuzzy multi-commodity transportation networks
2007
WIT Transactions on the Built Environment
unpublished
Preserved Fulltext
In this paper, the author models trip distribution in fuzzy multi-commodity transportation networks, and indicates its dimension consideration. First, current trip distribution is learnt by an approximation function for each commodity. Then, a quadratic model is used to calibrate these functions. The implementation of the proposed model is demonstrated through the use of a numerical example.
doi:10.2495/ut070191
fatcat:hfnnq4c27zaorg2efpnkgwdsqe