Document Type
Work in Progress
Abstract
This paper has presented a decision model for optimizing route allocation with linear programming in the Taipei Metro system. The goal is to avoid centralization of a passenger in certain transfer stations, which means that some transfer stations are overloaded, whereas some transfer stations may be nearly empty. This study applies the open data of origin and destination station to solve this problem. Specifically, through a direct computational comparison of the objective function value and statistical analysis between our proposed model and the existing route development, it confirms that our route development would achieve a reduction of ridership transfer flow of approximately 15% in this case.
Recommended Citation
Chang, Jui-Yen and Yang, Heng-Li, "Improving the Transfer Flow of the Taipei Metro System for Route Development: Using Open Data of the Origin and Destination Station" (2018). ICEB 2018 Proceedings (Guilin, China). 15.
https://aisel.aisnet.org/iceb2018/15