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Personal Rapid Transit (PRT) is a new kind of mobility method aiming for sustainable and environmental friendly city development.This automated on-demand public transportation system could be a promising solution for first-mile and last-mile problem of existing public transit network.PRT provides passengers end-to-end service via small autonomous electric cars operated on a dedicated network of guide way.Vehicle routing pattern refers to the direction of each link in the network, which is an important part of PRT system control.For certain traffic demand and network configuration, traffic volume of each link is subjected to the routing pattern.Since merge node and exit of station are two inherent bottlenecks in the network, vehicles may queue at this point when traffic volume beyond certain value.Thus, it's necessary to design an optimized vehicle routing pattern for better system control.In this paper, we consider both the vehicle travel time and delay at merge node and station as the optimization objective, introducing a generic algorithm to get the solution.The result shows that proposed method is effective to find an optimized vehicle routing pattern given certain travel demand and network configuration.