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

Train Timetable Optimization for Metro Lines Connecting to Airport

Authors
Jinwei Lu, Yun Bai, Jiajie Li
Corresponding Author
Jinwei Lu
Available Online April 2019.
DOI
https://doi.org/10.2991/icmeit-19.2019.7How to use a DOI?
Keywords
Airport express, Timetable optimization, Passenger waiting time, Genetic algorithm.
Abstract
Due to the advantages of huge capacity and reliable service, metro plays an important role in transporting airport passengers. It is known that train timetable has a direct impact on passenger waiting time which affects the service level of airport express. This paper first analyzes the behavior characteristics of passengers arriving at the airport express, and obtains the distribution of passenger flow throughout the day. Afterward, an optimization model on train timetable is established to minimize the total passenger waiting time at stations in airport express. GA algorithm is adopted to solve the proposed model. The results on Beijing metro airport express show that the proposed model reduces the passenger waiting time over 10%, compared to the fixed-headway timetable and the actual timetable.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)
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-19.2019.7How 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  - Jinwei Lu
AU  - Yun Bai
AU  - Jiajie Li
PY  - 2019/04
DA  - 2019/04
TI  - Train Timetable Optimization for Metro Lines Connecting to Airport
BT  - 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmeit-19.2019.7
DO  - https://doi.org/10.2991/icmeit-19.2019.7
ID  - Lu2019/04
ER  -