Abstract: When linear programming is applied in the optimization of products oil logistics, the quantity of operational data is huge and the unit data from oil stations and oil depots to the places of delivery is incomplete. In this paper, these problems were analyzed so as to reduce the transportation cost of products oil and realize the whole-course transportation optimization of products oil from the producing area (refinery) to the sales terminals (oil stations). It is shown that the overall optimization effect of the traditional first-order and second-order logistics optimization models are impacted by the disintegration between different models. Then, a new comprehensive transportation optimization model was established by constructing a resource center and defining the function of transportation price from the resource center to the refinery and the oil depot. Furthermore, its calculation method and procedure were put forward. Finally, based on the case study, the LINGO software was used to calculate and solve this model. It is indicated that this comprehensive transportation optimization model can effectively solve the disintegration between the traditional first-order and second-order logistics models. Its total transportation cost after the optimization is lower than results of the first-order and second-order transportation optimization models and the huge operational data during the application of the linear planning in the optimization of products oil logistics is reduced.