Lu Zechao, Liu Xia
(School of Physics and Information Engineering, Jianghan University,Wuhan Hubei 430056, China)

Abstract： To strengthen the linkages among public transit services, this paper proposes to an optimization model for connecting bus service network to urban rail transit network with an ant colony algorithm. By considering the constraints of bus network layout and restriction between passenger demand for transfer and bus capacity, the model divides bus stops into different levels based on urban roadway classification to improve the flexibility in bus routes planning. The paper also introduces how to use the ant colony algorithm to optimize the model, which can improves the rate of convergence. Taking the connecting bus network within the surrounding areas of Optics Valley Square subway station as example, the model demonstrates how the bus network optimization works. The result shows that the ant colony algorithm significantly improves the connecting capacity between the classification-based bus network and rail transit, which can reduce the system total cost.

Keywords： transportation planning; connecting bus; bus lines optimization; ant colony algorithm