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Traffic analysis and prediction is one of the core contents in the feasibility study of highway construction project [1]. It has the vital significance to the highway construction and road networks development. The traditional traffic volume prediction, as four steps prediction method [2] represented, have many uncertain factors to make the deviation between final forecast results and actual situation...
A Statistical-Sakagami model is proposed by using the statistical method in the 4G prediction path loss multiple regression formula. It is assumed that the three main parameters: hB, W and α are not deterministic variables like those in theory propagation models, but statistical variables, and all the three parameters are varying at the same time in the simulation. The performance of the formula is...
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