Abstract
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.
Highlights
Passenger transport hub, as the one key node of intercity passenger transport network, is the important place for passenger gathering, distributing ETC in transit
To simulate the rapid growth of line construction requirements, a bi-level planning method has adopted to establish a model for simultaneous optimization of multi-hub site selection and network layout
Based on the existing research findings, this paper adopts the administrator-dominant and user-following bi-level mathematical programming model to describe the problem. This bi-level programming model consists of upper level and lower level: the upper level is for the complicated optimization problem, including optimal decision variable of lower level, while the lower level is programming problem with decision variable parameter of the upper level
Summary
As the one key node of intercity passenger transport network, is the important place for passenger gathering, distributing ETC in transit. The rational distribution of hub and network cannot only improve the transport system function in urban agglomeration and transport efficiency and promote the harmonious development of urban regional economy significantly. For the urban intercity passenger transport network, which is generally composed of high-grade. Full list of author information is available at the end of the article highways, intercity railways, or high-speed rails, the intercity rapid passenger transport network is in the process of rapid development, and mostly, new lines update the network. This paper adopts a discrete network design model. To simulate the rapid growth of line construction requirements, a bi-level planning method has adopted to establish a model for simultaneous optimization of multi-hub site selection and network layout. This paper uses MATLAB software to design an improved genetic algorithm to solve the bi-level planning model, considering the impact of the integrated hub construction on network traffic. We make comprehensive decisions on the layout of the line and the layout of the hub
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