The Optimization Of Multimodal Transport Network Based On Transport Time Satisfaction And Reliability Analysis

Transport industry has developed rapidly under the background of comprehensive transportation in our country.As an advanced form of transport organization,multimodal transport has been rapidly used especially.Multimodal transport is an organizational form of using two or more transport modes,it can fully integrate the advantages of each transport mode and reduce the transportation cost,and play an important role to enhance the competitiveness of enterprises.How to decide multimodal transport route and mode to address the problem of effective convergence between transportation modes better,and determine transportation solutions to meet multiple constraints has been studied in this thesis.Firstly,customer satisfaction and network reliability to study multimodal transport network for further analysis and optimization on the basis of the analysis of multimodal transport experts and scholars have done research status has been presented.Secondly,it compared the actual arrival time of goods and the most satisfied time to obtain the user’s level of satisfaction with time.In the case of the known time interval and the most satisfying time point,the concept of fuzzy time satisfaction has been proposed based on the theory of fuzzy mathematics.Then considering the impact of various factors on the uncertainty generated by the multimodal transport network,the concept of transportation time reliability has been proposed based on the reliability of the basic theory.It described the forms of expression of each transportation unit’ time reliability in detail,analyzed the relationship between the entire transportation network reliability and time between transportation unit time reliability,and provided a calculation method.This thesis made time satisfaction and reliability of the system time as important constraint to minimize the total cost of transportation,established multimodal network optimization model at last.It combined the probability of selection modes of transport with the actual optimization problems,got the optimal combination of modes of transport solutions to each transport path using cross-entropy algorithm to update the probability of selection and iteration,and determined the final transport route and transport solutions through the program comparison finally.There is a significant effect to reduce the total cost of multimodal transport,improve transportation efficiency,quality and reliability of transport on the multimodal transport program through relevant results of this study.It has a certain reference value on transport decisions and a very important significance to solve the real problems of transportation optimization.