Research On Feeder Bus Network Design Problem Considering Demand Equilibrium Of Rail Transit Station

With the development of economy and the advancement of urbanization in our country, traffic congestion has become one of the main problems facing us in the development of our country. In order to alleviate traffic pressure, our country focuses on developing the rail transit. As the part of urban public transit system, rail transit has high operating speed and capacity. But the high construction cost of rail transit restricts the increase of rail transit network density. Thus, how to combine the rail transit and other public transit especially the conventional bus has become a very important topic of research.Based on the domestic and foreign research, the strength and weakness of public transit and conventional bus are analyzed and the organization form of these two public transits is studied. Based on the analysis of classical model of feeder bus network design problem, introducing the demand equilibrium function of rail transit station, the demand is properly distributed over different rail transit station so as to prevent the passengers from crowded accidents and the waste of common resources caused by unbalanced demand. Combining the FBNDP and demand equilibrium function, the model is established, the objective function of which is to minimize the total cost of the whole network including user cost, agency cost, social cost and demand equilibrium penalty cost. On the basis of many-to-one type, the model takes feeder station, feeder network, scheduling and demand equilibrium into consideration. LINGO software is used to verify the model through a small-scale case.Finally, the improved genetic algorithm is designed including the restriction of frequency and EP(elite preservation) strategy. Kuah(1986) consisting of 59 nodes and Gao Wei(2012) consisting of 84 nodes are used to analyze the changing pattern of network design under different scale of nodes and demand. The results show that the model established in this paper can distribute the demand among different rail transit station and be suitable to different transit network.