Trip distribution forecasting in fuzzy multi-commodity transportation networks

F. Zandi
2007 WIT Transactions on the Built Environment   unpublished
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