Proceedings of the 2015 5th International Conference on Computer Sciences and Automation Engineering

The Bus Line Supporting System Based On Learning Neural Network Model Applied In GIS

Authors
Jun Song, Shengwei Quan
Corresponding Author
Jun Song
Available Online February 2016.
DOI
https://doi.org/10.2991/iccsae-15.2016.3How to use a DOI?
Keywords
Bus routes selection artificial neural network; Traffic congestion distribution; GIS
Abstract

With the rapid increase of urban population and rapidly widening scope of the city, the newly built residential areas emerging or leading to the existing bus lines could not meet the needs of the people’s activities. The phenomenon of the traffic congestion is becoming more and more serious. [1] According to the problem we based on the principle of convenient resident travel, we used the point - line - face integration optimization model to slow down the urban traffic congestion as the goal, combined with the population distribution model and the congestion nodes judging model. We make the city Chengdu as the research object and after our research the Chengdu bus route selection model is established. [2]At the same time, on the basis of this model combining with the ArcGIS technology, database technology achieved in the host framework programming language C# helped with the tool MATLAB combined with C++ language dynamic link library files and the algorithm model developed by the bus route selection model, we achieved our information system according the message or rules we mentioned in this passage. We compared our city bus route selection in the last part which we designed to the original route scheme optimization selection and further demonstrate the superiority of the new scheme. [3]

Copyright
© 2016, 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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Volume Title
Proceedings of the 2015 5th International Conference on Computer Sciences and Automation Engineering
Series
Advances in Computer Science Research
Publication Date
February 2016
ISBN
978-94-6252-156-8
ISSN
2352-538X
DOI
https://doi.org/10.2991/iccsae-15.2016.3How to use a DOI?
Copyright
© 2016, 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/).

Cite this article

TY  - CONF
AU  - Jun Song
AU  - Shengwei Quan
PY  - 2016/02
DA  - 2016/02
TI  - The Bus Line Supporting System Based On Learning Neural Network Model Applied In GIS
BT  - Proceedings of the 2015 5th International Conference on Computer Sciences and Automation Engineering
PB  - Atlantis Press
SP  - 11
EP  - 14
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccsae-15.2016.3
DO  - https://doi.org/10.2991/iccsae-15.2016.3
ID  - Song2016/02
ER  -