Providing an Optimal Model for Load Allocation in Rail and Road Multimodal Transportation with a Robust Approach

Document Type : Original Article

Authors

1 Ph.D., Grad., Faculty of Industrial Engineering, Islamic Azad University, Parand Branch, Parand, Iran.

2 Associate Professor, Faculty of Industrial Engineering, Islamic Azad University, Parand Branch, Parand, Iran.

Abstract

One of the important goals of Iran's transportation industry, based on the vision document of rail transportation, is to reduce greenhouse gas emissions and optimally manage energy resources, according to which, in 2029, up to 35% of cargo transportation in the country should be carried out through the rail network. In this regard, the use of multimodal transportation seems obvious and useful. In this regard, promoting rail transportation as a green method against green methods such as road transportation, more than anything else, requires evaluating and providing effective optimization solutions. Therefore, in this research, an attempt has been made to provide a hybrid model to evaluate different modes of transportation and in this way to check the flow of freight transportation in the rail network. Therefore, in the present research, a random optimization model has been presented for the evaluation of freight transportation methods, so that the coefficients of the variables have a relative flexibility for optimization. To achieve the goal of stability after initial formulation, which has relative certainty, based on non-linear integer programming, a stable model has been compiled and compared with non-stable models. The challenges of robust planning, in a multimodal space, in terms of the variety of freight transportation facilities in road and rail aspects, require considering the limitations associated with the objective function, which is attempted in this research through the interaction between various types of rail network flows, a proper evaluation of the model about be provided at the expense of road-rail transportation facilities and the capacity of the rail network. Therefore, an approximate algorithm for checking and explaining deterministic alternatives in a reasonable computing time has been investigated. Stable and non-steady models are also focused on the country's rail network in this research, and it has been tried to provide a suitable and useful tool for analyzing and responding to the demand of freight transit companies in the conditions of competition with the road sector through testing the model's applications.

Keywords

References

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