Comprehensive evaluating method of highway network programming schemes based on ideal point combing AHP with entropy

According to road and traffic characteristic indexes of high-way network, this paper illustrates a new model, which can evaluate which is the best among many programming schemes, the paper firstly researches the analyzing model for high-way network optimization which takes the evaluation objectives as set of indexes and programming schemes as set of domain by quantitative analysis, and establishes the standard index decision-making matrix and positive-negative ideal scheme decision-making matrix according to the TOPSIS. Moreover, the weights of decision-making model are determined comprehensively by means of AHP and entropy which takes the experts´ knowledge and experience, decision makers´ intentions and preferences and information within data itself into consideration. In addition, the optimization degree was judged by calculating the closeness of scheme matrix which runs from the ideal scheme. The example shows that this method can adjust programming schemes better, and the result was much more reasonable and practical.