Using Ant Colony Optimization to Solve Train Timetabling Problem of Mass Rapid Transit
- Jen-yu Huang 0
- Corresponding Author
- Jen-yu Huang
0National Taiwan University
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- https://doi.org/10.2991/jcis.2006.38How to use a DOI?
- ant colony optimization, train timetabling problem, mass rapid transit
- The purpose of this research is to using ant colony optimization (ACO) to develop a heuristic algorithm to solve the train timetabling problem. This algorithm takes into consideration the trains scheduling in the transit period between peak period and off-peak period, the conflict resolving and the balance of in and out trains for each depot. A case study using the Taipei MRT is giving to demonstrate the algorithm and its potential applications. The result indicates that the algorithm can generate the feasible train timetable and solve the conflicts effectively.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Jen-yu Huang PY - NaN/NaN DA - NaN/NaN TI - Using Ant Colony Optimization to Solve Train Timetabling Problem of Mass Rapid Transit BT - 9th Joint International Conference on Information Sciences (JCIS-06) PB - Atlantis Press UR - https://doi.org/10.2991/jcis.2006.38 DO - https://doi.org/10.2991/jcis.2006.38 ID - HuangNaN/NaN ER -