Proceedings of the 2017 International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2017)

Study on the Definition of the Influence Area of the Station and the Prediction of the Traffic Mode Sharing Rate

Authors
Shuangzhou Guo
Corresponding Author
Shuangzhou Guo
Available Online May 2017.
DOI
10.2991/ammsa-17.2017.55How to use a DOI?
Keywords
rail transit; transfer and feeder; system character; logit model; transit hub theory; layout and location; feeder bus; genetic algorithm
Abstract

Studied the theory of integration of rail and bus transit was. Combined with the urban master plan, analysis the two characters, With the study on the characteristics of city tenor city economic developing economic globally and the characteristics of market economy, studied the passenger flow forming mechanism. The influential area of railway station was studied. Surveyed the time difference among walk+rail", "walk+bus", a model was set up and its algorithm was given, finally the different type station area, transfer and middle station were given.

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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Volume Title
Proceedings of the 2017 International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2017)
Series
Advances in Intelligent Systems Research
Publication Date
May 2017
ISBN
10.2991/ammsa-17.2017.55
ISSN
1951-6851
DOI
10.2991/ammsa-17.2017.55How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Shuangzhou Guo
PY  - 2017/05
DA  - 2017/05
TI  - Study on the Definition of the Influence Area of the Station and the Prediction of the Traffic Mode Sharing Rate
BT  - Proceedings of the 2017 International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2017)
PB  - Atlantis Press
SP  - 249
EP  - 251
SN  - 1951-6851
UR  - https://doi.org/10.2991/ammsa-17.2017.55
DO  - 10.2991/ammsa-17.2017.55
ID  - Guo2017/05
ER  -