Research On Route Optimization Of Xijiang Container Water-rail Combined Transport

With the integrated economic development of the Great Bay Area,the Xijiang Golden Waterway,as the artery of waterway transportation in southwest China,the cargo transportation volume along the river has been increasing year by year,according to statistics,the cargo transportation volume of railway and water transport in Guangxi in 2021 is 91 million tons and 38,000 million tons respectively,the container water-rail combined transport mode of the Xijiang main line does not match the existing level of cargo transportation development,and there are problems of unbalanced,unconnected and unintegrated transport modes,and the adjustment of transport modes is an important element of the current work of comprehensive transportation on the Xijiang River.In order to establish a more efficient and green modern logistics service system and help the high-quality development of logistics and regional economy in the Greater Bay Area,it is urgent to study the optimization of the Xijiang container water-rail combined transport path,and the thesis research has certain theoretical significance.Firstly,this paper introduces the composition of the container water-rail intermodal transport system,the characteristics and applicable fields of each transport mode,and the water-rail intermodal transport business process;through the analysis of the influencing factors in the container water-rail intermodal transport process,a comprehensive service quality index system is constructed in four aspects: economy,timeliness,environmental protection and safety.A coupled assignment method based on cloud model,analytic hierarchy process and entropy weight is established to determine the weights of comprehensive service quality indicators of container waterrail transport.Secondly,the time windows in container transport are discussed and classified,including soft time windows,hard time windows and mixed time windows;the greenhouse gas emissions of ships and railway locomotives in container transport are analysed;a ship waiting time prediction model based on genetic algorithm,BP neural network and Markov is established to predict the ship waiting time;the advantages and mathematical model of the traditional ant colony algorithm are introduced in detail,and the traditional ant colony algorithm is optimised by improving the pheromone volatility coefficient,heuristic information and pheromone update methods.Then,according to the comprehensive service quality index system of container water-rail intermodal transport,the cost components of water-rail intermodal transport are analysed.Considering the constraint of soft time window,a container water-rail intermodal transport path optimisation model based on total transport cost,total transport time,transport greenhouse gas emission and transport risk under the deterministic environment is established;and considering the uncertainty of the waterrail intermodal transport process,a container water-rail intermodal transport path optimisation model under uncertain environment is established with uncertain variables indicating speed and cargo loss rate;and the solution steps based on the optimal ant colony algorithm is proposed.Finally,this paper takes the transport network starting from Nanning,Guangxi,with Guigang,Yulin,Wuzhou and Zhaoqing as the transit points and Guangzhou as the terminal point as the research object,collects the relevant data such as time window and ship waiting time through research and processes the data,using the optimized ant colony algorithm and the traditional ant colony algorithm to calculate and compare the container water-rail intermodal transport path optimization model under the uncertain environment,and obtain the the optimal transportation scheme for container water-rail intermodal transportation in the Xijiang River under different weights and confidence levels.