Chapter
Jan 13, 2020
Sixth International Conference on Transportation Engineering

A New Hybrid Evaluation Method in Railway Hub Planning

Publication: ICTE 2019

ABSTRACT

Reasonable evaluation method is very important to the scientific decision-making of railway hub planning. In this paper, the principle of the scatter-degree model is introduced, and the existing problems in solving the model are pointed out. The necessity of incorporating the decision-maker's subjective consciousness into a single objective weighting method is discussed, and a new operator that characterizes subjective consciousness is added to the model. Aiming at the uncertainty of the Heiser matrix in the problem and the strong global optimization ability of the genetic algorithm, a hybrid evaluation method of genetic algorithms (GA) and subjective-objective scatter-degree method is proposed. This method makes full use of subjective information and is not limited by the state matrix. Finally, the evaluation method is applied to the scheme evaluation of a new high-speed railway leading into the hub. The evaluation results are consistent with the actual selection scheme, which shows that the method is scientific and reliable, and can be popularized and applied in the evaluation of hub planning scheme.

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Information & Authors

Information

Published In

Go to ICTE 2019
ICTE 2019
Pages: 120 - 129
Editors: Xiaobo Liu, Ph.D., Southwest Jiaotong University, Qiyuan Peng, Ph.D., Southwest Jiaotong University, and Kelvin C. P. Wang, Ph.D., Oklahoma State University
ISBN (Online): 978-0-7844-8274-2

History

Published online: Jan 13, 2020

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Authors

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Hongguo Shi [email protected]
School of Transportation and Logistics, Southwest Jiaotong Univ., Chengdu, ST 610031, China. E-mail: [email protected]
Jie Liu
School of Transportation and Logistics, Southwest Jiaotong Univ., Chengdu, ST 610031, China
Qingxia Zhao
School of Transportation and Logistics, Southwest Jiaotong Univ., Chengdu, ST 610031, China
China Railway Express Co., Ltd., Qinghai-Tibet Branch, Lhasa, ST 850000, China. E-mail: [email protected]

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