A flow incremental loading algorithm to solve fuzzy multimodal transport problems

A method to solve multimodal transport network problems with uncertain data, which is based on both flow incremental loading, is developed in this work. The aim is to reach solutions to an amount of numbers of problems relating on the transport systems like: traffic jam, pollution, delays, among others. In this work, graph theory is used to model this kind of transport problem that has uncertain data in the cost and the capacity of edges. Each transport mode is represented by a subgraph and the whole graph is the union of the all subgraphs. A numerical example is presented to illustrate the efficiency of the developed method.