The Optimization Scheme of Public Traffic Network based on Information Entropy and TOPSIS

The multi-objective decision method-TOPSIS is used to sort the public traffic network optimization scheme on the basis of optimization principle, the constraints and objective function of public traffic network in this paper. In this method, firstly characteristic matrix of evaluation index is construct, and the data are processed using the information entropy theory, and the data are used as the objective weight of indexes, overcoming the subjectivity of the weight of public traffic network optimization in the past; secondly, the objective weights and the Euclidean distance are weighted to calculate the distance scale, prompting the calculation of distance between optimization solutions and the optimal one is more accurate; finally, the optimization scheme is sorted based on the close degree of optimization scheme and the optimal solution. Application examples show that the model can better solve the weight distribution problem of optimization objectives. The model is effective to the optimization and adjustment of the public traffic network is effective, and it is effective, practical, simple, reasonable and in line with the actual situation.