Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)

Optimization of Modern Tram Operation Line Based on Genetic Algorithm

Authors
Yanhui Li, Kuanmin Chen
Corresponding Author
Yanhui Li
Available Online April 2017.
DOI
https://doi.org/10.2991/fmsmt-17.2017.171How to use a DOI?
Keywords
Modern tram, Maximum flow, Genetic algorithm.
Abstract
The modern tram has both the attributes of rail transit and bus. Based on the point-line-plane planning method in public transportation and urban rail transit network planning, this study considers the tram line Network, the characteristics of the line, including the length of the line, the node choosing, the scale; in determining the boundary conditions under the premise, by gradually select the maximum flow, sub-maximum flow as the operating path, the genetic algorithm is used to analyze the optimization model. Through the actual analysis, the optimization model has a good effect in the planning and application of modern tram lines.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Cite this article

TY  - CONF
AU  - Yanhui Li
AU  - Kuanmin Chen
PY  - 2017/04
DA  - 2017/04
TI  - Optimization of Modern Tram Operation Line Based on Genetic Algorithm
BT  - Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)
PB  - Atlantis Press
SP  - 897
EP  - 902
SN  - 2352-5401
UR  - https://doi.org/10.2991/fmsmt-17.2017.171
DO  - https://doi.org/10.2991/fmsmt-17.2017.171
ID  - Li2017/04
ER  -