Urban-Rural Integrated Public Transport Route System Based on Particle Swarm Algorithm

The dynamic development of public transportation is an important means to alleviate urban traffic congestion, achieve green travel, and low carbon emissions. However, as China's urbanization process continues to accelerate, the problem of disorderly sprawl in cities has become more and more serious. The demand for public transportation in the vast suburbs is low and scattered. The city center arranges suburban buses through traditional public transportation, which inevitably leads to a waste of public transportation capacity and reduces the operating income of the bus company. This paper studies the urban-rural integrated bus route based on particle swarm algorithm, and studies the related theories of urban-rural integrated bus route based on literature data, and then designs the urban-rural integrated bus route optimization system based on particle swarm algorithm. In addition, the designed system is tested, and the result of the test shows that the optimization result of the transit rate of the bus is not very different from the actual one, and the error is within 1%.