For improving the fourth party logistics(4PL)ábility to the multi-third party logistics(3PL)' collaborative transportation network, a 4PL collaborative routing customization problem with 3PL suppliers’ varied abilities is proposed. A nonlinear mathematic model which allows waiting on the transit node is built, and a two-stage hybrid algorithm which embeds the ant colony optimization(ACO) and artificial bee colony(ABC) algorithms is designed, where the ACO is used to find a route as the satisfy solution in the first stage and the ABC is employed to choose better 3PLs in the second stage. In the algorithm analysis, the effectiveness of the proposed algorithm is verified by testing the problem with different node numbers and algorithms. By analyzing whether to wait and whether to consider the time-varying capacity of the 3PL suppliers, it not only shows that the proper waiting can save the total cost, but also proves that the 4PL suppliers have the ability to integrate resources in the collaborative routing customization processes.