Scheduling Multi-Objective Optimization Study Of Intermodal Transit Vehicle Loading For Road-River Intermodal Transportation

With the rapid economic development in China’s Yangtze River basin,the domestic transportation industry is under tremendous pressure.Relying on the unique geographical location of the Yangtze River basin,it is therefore vital to give full play to the role of river navigation in promoting regional economic development.Considering the background of the predominance of combined collaborative highway and waterway transportation in China,we take intermodal port transit vehicles as the research object,establish a multi-objective optimization model of carbon emission,average customer satisfaction and ro-ro ship area utilization,and solve the problem of public-water intermodal transit vehicle scheduling by improved NSGA-II algorithm.The main work of this paper is as follows:(1)An analysis of the current status of multi-objective research on multimodal transport and vehicle scheduling by scholars at home and abroad.Analyze the multimodal transportation,road-river intermodal transportation and vehicle scheduling problems,and describe the multi-objective optimization method of vehicle scheduling,so as to lay the foundation for solving the transit vehicle scheduling problems in roadriver intermodal transportation.(2)Building a multi-objective model for vehicle scheduling First,the vehicle scheduling problem is transformed into a two-dimensional crating problem by combining the actual assembly pattern of a vehicle transit port;Secondly,because the adoption of a random service loading model can increase business revenue but also lead to lower customer satisfaction and higher carbon emissions,the long-term impact of average customer satisfaction and carbon emissions on the business cannot be ignored;Finally,a multi-objective optimization model of transit vehicle scheduling for road-river intermodal transportation is constructed according to the vehicle transit process.(3)Improved multi-objective NSGA-II optimization algorithm.Based on the proposed multi-objective model of transit vehicle scheduling for road-river intermodal transportation,the NSGA-II algorithm,which can solve the multi-objective problem,is selected and improved.Firstly,the improved GA+BL+BFP algorithm is used to obtain the good population as the initial solution of NSGA-Ⅱ algorithm;secondly,different elite retention strategies are used on the basis of elite retention strategies by partitioning segments according to the number of iterations;finally,adaptive crossover variation operation is used and neighborhood search is introduced in the crossover operation to comprehensively improve the performance of NSGA-Ⅱ optimization algorithm.(4)Application examples provide an in-depth analysis of combined highway and waterway transit vehicle scheduling operations.First,the initial scheduling scheme is obtained from the BL algorithm,and then the optimized scheduling scheme is obtained from the improved NSGA-II algorithm;second,a comparative analysis of the three target values for the first-come-first-served manual loading and the randomized service-optimized loading modes is performed;Finally,programme decisions are made through an objectively empowered multi-indicator decision-making approach.