Traffic information forecast algorithm based on the one-dimension cloud model
Zhao Mo · Journal of Shandong University · 2007
The cloud model is a mathematical representation of fuzziness and randomness in linguistic concepts.The qualitative concept is represented by expected value,entropy and hyper entropy in this model.and It can realize the transformation between the qualitative and the quantitative when the fuzziness and randomness of a linguistic concept are integrated together.Therefore,it has strong robustness to the higher uncertain traffic information.A kind of traffic information forecast mechanism based on the cloud model is proposed.This mechanism can effectively overcome the fuzziness and the random in traffic information,and can offer a novel approach for traffic information forecasting.It also shows that the predicted results are basically in accord with the real ones.