Low-Carbon Multimodal Transportation Path Optimization Under Time Window Constraints

Under the background of low carbon,the transport industry has actively adjusted its industrial structure and promoted multimodal transport such as public hot metal.China emphasizes promoting the development of multimodal transport,developing the combination and integration between different modes of transport,optimizing the cooperation between different modes of transport,achieving the improvement of logistics efficiency,reducing social logistics costs,and promoting energy conservation,emission reduction and carbon reduction.Reasonable optimization of structural adjustment between different modes of transport,especially in today’s deteriorating ecological environment,multimodal transport path optimization under low-carbon environment has important practical and theoretical significance.Aiming at the path optimization problem of cost,carbon emission and time window in multimodal transport,this paper comprehensively considers economic and environmental factors,and uses genetic algorithm to study the dual-objective model of low-carbon multimodal transport under the constraints of time window.The main work of this paper is as follows:Firstly,the influencing factors of energy consumption of different modes of transport in multimodal transport are analyzed,and the energy consumption coefficients of highway,railway and waterway are summarized and calculated.Secondly,the carbon emission,transportation cost and transfer cost involved in multimodal transport are studied.Furthermore,considering the long transport cycle of multimodal transport and the uncertainty of cargo transport time,the constraints of time window are added,that is,punitive costs will be generated if the vehicle is not in the standard time window,to establish a dual-objective path optimization model with the least carbon emission and the lowest total cost of multimodal transport,and then solve it by genetic algorithm.Finally,a special route from Guangzhou to Manzhouli of a logistics company is selected,and node cities such as Zhengzhou,Shanghai,Tianjin,Lianyungang,Dalian,Shenyang and Harbin are passed through.Under the dual-objective path optimization model planning considering cost and carbon emission,the optimal path combination is analyzed through MATLAB calculation.According to the study,in the dual-objective route optimization model that considers and costs at the same time,the case in this paper can draw three transportation planning schemes that pay attention to economic benefits,environmental impact and synthesis respectively and are in line with the reality.This paper comprehensively considers carbon emission and cost,effectively reduces carbon emission,and is more in line with government policies.In the future,with the deepening of the research,the model can be further optimized to make up for the shortcomings of this study.