گسترش مدل جديد براي حل مسايل پيش بيني توزيع سفر در شبكه هاي حمل و نقل با پارامترهاي غير دقيق

Development Of A New Model For Trip Distribution Forecasting With Imprecise Parameters

The existing Gravity model, in trip distribution forecasting, involves iterative adjustments and time consuming, because it is not able to perform adjustment simultaneously. This drawback has been considered in this article. In the real world problems, the transportation parameters such as traveling time are not crisp. Therefore, it has been addressed by possibility distribution here. In this paper a new mathematical model is proposed to consider the above shortcomings. Finally the superiority of the new method has been shown by a numerical example.