Abstract: Considering the impact of different traffic conditions on transport,the daily traffic condition was divided into flow,normal and peak according to the number of vehicles．According to the speed of the three periods,an uncertain vehicle routing model was presented with chance-constrained based on uncertainty theory．In order to solve the uncertain measure of demands,a hybrid intelligent algorithm with uncertain simulation and genetic algorithm was provided．At last,a numerical example was provided．In the example,we analyzed the model solutions based on dividing of traffic periods,and the solutions of different coefficient value according to customer satisfaction．

Key words: Uncertain variable,Uncertain simulation,Vehicle routing model,Hybrid genetic algorithm