Public Transport Scheme Optimized by Election Campaign Algorithm and Extension Theory

DOI

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.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - Proceedings of the 2016 6th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2016)
PB  - Atlantis Press
SP  - 143
EP  - 147
SN  - 1951-6851
UR  - https://doi.org/10.2991/mcei-16.2016.30
DO  - 10.2991/mcei-16.2016.30
ID  - Xie2016/12
ER  -