In order to improve the efficiency of bus operation and reduce the impact of bus emission on the environment, this paper proposes a new skip station scheduling strategy. The new strategy improves the efficiency of public transportation system by reducing the number of stops. This paper takes the operation of a single bus line as the research object, and makes decisions on the specific stops to be stopped. The optimization objective is the weighted sum of the proportion of the passenger travel time, bus operation time and bus emission to the original scheme. Given the OD arrival rate data of public transport, the genetic algorithm is used to solve the optimization model, and the optimal station skipping scheme is obtained. The final results show that the new scheme can reduce the travel time of passengers by 3.09%, the running time of vehicles by 0.92%, and the exhaust emission at the station by 4.4%.