In order to satisfy passengers' personalized and diversified connection requirements, a demand-responsive airport-customized bus was proposed, and the optimization of the airport's customized bus route was studied under the regional road network information. After comprehensively considering the interests of passengers and operating companies, this paper aims to maximize the demand for satisfaction, minimize the cost of driving and passengers, minimize the time cost of passengers, and establish a path optimization model under the information of regional road network. A simulated annealing and genetic mixing algorithm was used to solve the model. The model and algorithm of path optimization are validated by simulating the customized bus data of the airport. The results show that the model and algorithm are reasonable and effective, and the operability is strong.