Track Routing Optimization Model Based on Fuzzy Clustering Method

Pin Chao Meng; Wei Shi Yin; Zhi Xia Jiang; Yan Zhong Li

doi:10.4028/www.scientific.net/AMM.670-671.1540

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 670-671Track Routing Optimization Model Based on Fuzzy...

Track Routing Optimization Model Based on Fuzzy Clustering Method

Abstract:

In order to determine the routing scheme of a line in city track traffic, a nonlinear constrained multi-objective 0-1 programming model is established, with the intervals as variables, and the optimal matching between the spatial characteristics of passenger demand and routing, as well as the minimization of operation cost as the objective functions. The equality constraint is built based on fuzzy clustering method, the number of variables is reduced, and the weighted coefficients are computed with objective function values. Taking Chongqing Rail Transit Line 1 as an example, a selectable routing scheme is calculated.

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Periodical:

Applied Mechanics and Materials (Volumes 670-671)

Pages:

1540-1544

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.670-671.1540

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Online since:

October 2014

Authors:

Pin Chao Meng, Wei Shi Yin, Zhi Xia Jiang, Yan Zhong Li*

Keywords:

City Track Traffic, Passenger Flow, Routing

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* - Corresponding Author

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