Coordinated layout optimization model of comprehensive passenger transport multiple hubs

Considering coordinated layout of comprehensive transportation terminal, this paper increases two constraint conditions for transportation pattern and hub transfer ability in traditional model of passenger terminal planning, puts forward a nonlinear integer programming of comprehensive passenger transport multiple hubs based on capacity limitation and transportation pattern, and designs an improved genetic algorithm. LINGO software is applied to the model effectiveness test of optimized layout to cumulate the standard data of 8 nodes Solomon, the average operation time of LINGO is about 5 102 s and the optimum cost is 1 899 782 Yuan; the average operation time of genetic algorithm programming is about 59 s and the optimum cost is 1 948 796 Yuan. The average operation time is about 569 s and the optimum cost is 8 497 602 Yuan if cumulating 50 nodes data; the optimum cost is 154 932 Yuan if using AP data set of 25 nodes and taking 3 hubs, the average operation time is about 607 s and the optimum cost is 155 098 Yuan through traditional hub planning model, while the optimum cost reduces 166 Yuan when compared to the classical algorithm. So the optimization model of developed joint terminal layout has faster solving speed and less optimal cost than traditional model of joint terminal planning.