Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)

Research on High-speed Railway Fare Optimization based on Change of Passenger Flow

Authors
Jie Zhang, Xiangfei Yang, Gu Du
Corresponding Author
Jie Zhang
Available Online April 2019.
DOI
https://doi.org/10.2991/icmeit-19.2019.41How to use a DOI?
Keywords
fare optimization; passenger flow; Baoji-Lanzhou high-speed railway.
Abstract
In recent years, high-speed railway has gradually become an indispensable choice for people to travel. This paper studies high-speed railway fares to increase the benefits of high-speed rail and achieve long-term sustainable development of the railway sector. According to the characteristics of demand, the passenger flow is divided into different periods, with each passenger flow interval as the price adjustment time, and the train income as the objective function to determine the fare of each passenger transport product at each price adjustment time. Taking Baoji-Lanzhou High Speed Railway as an example, the study shows that the train attendance rate is increased by 16.2% and the revenue is increased by 5.8% compared with the original price strategy.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
Part of series
Advances in Computer Science Research
Publication Date
April 2019
ISBN
978-94-6252-708-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/icmeit-19.2019.41How 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  - Jie Zhang
AU  - Xiangfei Yang
AU  - Gu Du
PY  - 2019/04
DA  - 2019/04
TI  - Research on High-speed Railway Fare Optimization based on Change of Passenger Flow
PB  - Atlantis Press
SP  - 238
EP  - 242
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmeit-19.2019.41
DO  - https://doi.org/10.2991/icmeit-19.2019.41
ID  - Zhang2019/04
ER  -