Journal of Jianghan University(Natural Science Edition) ›› 2018, Vol. 46 ›› Issue (6): 504-512.doi: 10.16389/j.cnki.cn42-1737/n.2018.06.004

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Design of Rail Transit Connecting Bus Routes Based on Hybrid Genetic Algorithm

LIU Xia,LI Nan   

  1. School of Physics and Information Engineering,Jianghan University ,Wuhan 430056,Hubei,China
  • Online:2018-12-28 Published:2018-11-29

Abstract: With the rapid development of urban transportation,the convergence and coordination of different transportation tools are always one of the problems that need to be considered and perfected in urban construction. The connection between the traditional rail transit and the conventional bus is not so close,which makes the running cost and the riding cost higher. To solve this problem,with the purpose of minimizing total cost including waiting time cost,riding time cost and running cost,the author set up a mathematical model and used the hybrid genetic algorithm to design urban rail transit connecting bus routes. A specific example was given to illustrate the feasibility of the algorithm in the end;the results showed the convergence rate of the proposed algorithm was better than that of the genetic algorithm.

Key words: urban traffic, bus route design, hybrid genetic algorithm, rail transit

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