Railway transit network design based on fuzzy plant growth simulation algorithm

ABSTRACT

 We propose a mathematical model to solve the railway transit network design problem, considering the total time spent in the travel of all the passengers on the network as the optimization goal. The number of passengers to be transported, train accommodating capacity, station capacity, railway section capacity, and available train number is taken as the constraints in the model. Then, we design a heuristic algorithm – fuzzy plant growth simulation algorithm to solve the model. A computing case, based on the data of the railway network of part of East China is presented to prove the efficiency and effectiveness of the proposed model and algorithm. The approach presented in this paper can help to design the service plan in the view of the railway network for the railway operators.

KEYWORDS:

• Railway
• transit network design
• fuzzy plant growth simulation algorithm

Acknowledgments

This work is supported by the National Natural Science Foundation of China (Grant No. 71861022), the Foundation of A Hundred Young Talents Training Program of Lanzhou Jiaotong University (Grant No. 1520220210), China National Key Research & Development Project (Grant 2016YFB1200100) and Key Laboratory of Urban Rail Transit Intelligent Operation and Maintenance Technology & Equipment of Zhejiang Province (Grant No. ZSDRTKF2020005). The authors wish to thank the anonymous reviewers and the editor for their comments and suggestions.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by the National Natural Science Foundation of China [71861022]; the Educational Reform Project of Lanzhou Jiaotong University [JGY201961]; Foundation of A Hundred Young Talents Training Program of Lanzhou Jiaotong University [1520220210]; Young Teachers Program of Lanzhou Jiaotong University [2019039]; Key Laboratory of Urban Rail Transit Intelligent Operation and Maintenance Technology & Equipment of Zhejiang Province [ZSDRTKF2020005]; China National Key Research & Development Project [2016YFB1200100].