An intermodal transport network planning algorithm using dynamic programming-A case study: from Busan to Rotterdam in intermodal freight routing
This paper presents a dynamic programming algorithm to draw optimal intermodal freight routing with regard to international logistics of container cargo for export and import. This study looks into the characteristics of intermodal transport using multi-modes, and presents a Weighted Constrained Shortest Path Problem (WCSPP) model. This study draws Pareto optimal solutions that can simultaneously meet two objective functions by applying the Label Setting algorithm, a type of Dynamic Programming algorithms, after setting the feasible area. To improve the algorithm performance, pruning rules have also been presented. The algorithm is applied to real transport paths from Busan to Rotterdam, as well as to large-scale cases. This study quantitatively measures the savings in both transport cost and time by comparing single transport modes with intermodal transport paths. Last, this study applies a mathematical model and MADM model to the multiple Pareto optimal solutions to estimate the solutions.
dynamic programming weighted constrained shortest path problem label setting algorithm intermodal freight routing problem