Because of the influence of comprehensive hub construction on network flow, this paper adopts the bi-level programming model (BPM) to solve the problem about the integrated optimization of multi-hub location and network layout. The upper level model is designed to minimize the network operating cost, network transformation cost, and hub construction cost; the lower level is the user equilibrium distribution model at fixed demands. Besides, this paper designs the improved genetic algorithm to solve the bi-level programming model and validates the model validity and algorithm feasibility through the computing example. The model has a high application value for solving the problem of comprehensive optimization of intercity passenger transport hub location and intercity passenger transport network design in the process of urban agglomeration development.
Stored only when both papers are in the corpus — 10 citations exist upstream.
Imported from OpenAlex (CC0) — nothing here is generated.