Proceedings of the 2016 6th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2016)

Public Transport Scheme Optimized by Election Campaign Algorithm and Extension Theory

Authors
Qinghua Xie, Xiangwei Zhang, Wenge Lv, Siyuan Cheng
Corresponding Author
Qinghua Xie
Available Online December 2016.
DOI
https://doi.org/10.2991/mcei-16.2016.30How to use a DOI?
Keywords
Public transport scheme; Optimization; Election campaign algorithm; Extension theory
Abstract
In order to improve the demand of rational layout of public transport system which include buses and metro in cities, this paper propose the method of optimization with Election Campaign Algorithm and extension theory to plan the public transport scheme. Based on the extension method of decision choose problem, the evaluation model is constructed by extension multi-factor evaluation method. It alters the qualitative index into quantitative index and accurately reflect service quality of urban public transit. The experimental results show that the method can really solve the actual problem of city public transport service.
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Proceedings
2016 6th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2016)
Part of series
Advances in Intelligent Systems Research
Publication Date
December 2016
ISBN
978-94-6252-282-4
ISSN
1951-6851
DOI
https://doi.org/10.2991/mcei-16.2016.30How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Qinghua Xie
AU  - Xiangwei Zhang
AU  - Wenge Lv
AU  - Siyuan Cheng
PY  - 2016/12
DA  - 2016/12
TI  - Public Transport Scheme Optimized by Election Campaign Algorithm and Extension Theory
BT  - 2016 6th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2016)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/mcei-16.2016.30
DO  - https://doi.org/10.2991/mcei-16.2016.30
ID  - Xie2016/12
ER  -