Research On The Optimization Of Sea-Rail Intermodal Train Network Based On Port Cluster

In recent years,the rapid development of the global economy has facilitated increased trade between countries,leading to higher demands for container transportation services.With the support of a series of policy deployments in China,the sea-rail intermodal system based on ports and utilizing containers as carriers has gradually become an important mode of cargo transportation.However,due to the relatively late planning and development of sea-rail intermodal transportation in China,there are still issues such as low efficiency and limited coordination among ports during the transportation process.Against this background,this paper focuses on the optimization of the container sea-rail intermodal train network in port clusters.The research is of significant importance in coordinating the integrated development of port clusters and improving the efficiency of sea-rail intermodal transportation.The main research contents of this paper are as follows:(1)It describes the current development status of port clusters and sea-rail intermodal transportation in China,summarizes the relevant domestic and international research on sea-rail intermodal transportation,and identifies the problems existing in the current development stage.Building upon the existing research,it proposes a research framework for optimizing the container train network based on port clusters in sea-rail intermodal transportation.(2)It provides a detailed explanation of the relevant theories required in the prediction,modeling,and evaluation processes.It analyzes and summarizes the development of port cluster integration and the design of sea-rail intermodal transportation networks,laying a theoretical foundation for the establishment of a container sea-rail intermodal train network model.(3)It predicts container flows and establishes an optimization model for container train services.Grey prediction models and origin-destination(OD)prediction models are used to forecast container throughput and container flow.Considering the container transportation demands between customers in port clusters and inland container stations and the uncertainties in train operations,a container train routing optimization model is established with the objective of minimizing overall transportation costs and reducing overall transportation time.(4)It improves the algorithm and evaluates the solution set.The NSGA-Ⅱ algorithm is enhanced,and the Pareto frontiers obtained by applying the original NSGA-Ⅱ algorithm and the improved NSGA-Ⅱ algorithm are compared to demonstrate the superiority of the improved algorithm in addressing the problem.The entropy-weighted Technique for Order of Preference by Similarity to Ideal Solution(TOPSIS)multi-objective evaluation method is used to select the optimal solution from the Pareto solution set.(5)The study focuses on the port clusters of Qingdao and Yantai in Shandong Province.Through instance analysis based on the predicted transport volumes,the optimal train transportation plan is determined.Sensitivity analysis is performed on two parameters: train capacity and demand time windows.The analysis examines the impact of these parameters on the transportation plan,thus validating the scientific and practical effectiveness of the model and algorithm.Overall,this research contributes to the coordination of integrated development in port clusters and the enhancement of sea-rail intermodal transportation efficiency.