Airport Taxi Decision and Management Model based on Maximum Benefits

DOI

10.2991/ssmi-19.2019.70How to use a DOI?

Keywords

queuing theory; Multiple linear regression; Cluster analysis; BP neural network.

Abstract

Airport taxis are an important means of transportation for airport passengers. In order to avoid the waste of airport taxi capacity, we will establish a judgment formula based on the comprehensive supply and demand relationship and profit relationship. And we will select other important factors by cluster analysis as a supplement to establish a judgment algorithm and validated the algorithm by multiple linear regression and examples. Then we use the queuing theory to determine the position of optimal taxi pick-up point and achieve the long-distance and short-distance taxi driver income balance by dividing the level.

Copyright

© 2019, 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  - Zichao Wang
PY  - 2019/12
DA  - 2019/12
TI  - Airport Taxi Decision and Management Model based on Maximum Benefits
BT  - Proceedings of the 2nd International Symposium on Social Science and Management Innovation (SSMI 2019)
PB  - Atlantis Press
SP  - 273
EP  - 279
SN  - 2352-5398
UR  - https://doi.org/10.2991/ssmi-19.2019.70
DO  - 10.2991/ssmi-19.2019.70
ID  - Wang2019/12
ER  -