Theoretical Analysis Based On The Traffic Equilibrium Theory Of Fuzzy Stochastic Theory

Traffic assignment problem is one of kernel problems in analyzing transport system and evaluating city traffic planning, and is a key problem in improving city traffic management and control, so that it plays very important roles in traffic science and engineering. In practical traffic assignment.There exists randomness and fuzziness of two uncertain phenomenon that it is difficult to solve the problem with traditional equilibrium analysis method.Henn defines fuzzy user equilibrium condition:each is assignment path having approximate path cost nearly minimal. According to the fuzzy user equilibrium condition, the fuzzy route choice problem is transformed into a fuzzy chance-constrained programming model, and the use of the hybrid intelligent algorithm of fuzzy simulation, neural network and genetic algorithm combining the fuzzy chance constraint specification, model.The equilibrium conditions of fuzzy user based on Henn’s definition, this paper proposes fuzzy stochastic user equilibrium condition, the equilibrium point, all the drivers have chosen the path to understand almost the minimum impedance. Based on Fuzzy route choice model, Based on Fuzzy route choice model, using stochastic simulation, the fuzzy stochastic traffic assignment algorithm.This paper gives accurate fuzzy user equilibrium condition of expressionuses by using fuzzy optimistic value method, and it also gives the establishment of fuzzy traffic assignment problem and the variational inequality model. Basic inequality and stochastic traffic assignment problems in fuzzy traffic assignment problem of variational inequalities, path and road are established based on fuzzy stochastic traffic assignment problem based variational inequality model, and used to solve the diagonalization algorithm.