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Science of Machine Learning
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We transport numerous guests comfortably and flexibly

A shuttle bus operation plan for both visitors and operators

We transport numerous guests comfortably and flexibly
Abstract

Shuttle bus service planning is determined by the route network and timetable. Achieving an appropriate balance between the operating company's costs and passenger convenience is an important issue. Our new formulation of an integer linear programming problem incorporates waiting time, calculated from the number of people waiting in line at bus stops, in the objective function. Furthermore, our method automatically determines the optimal route network and number of buses based on demand forecasts. By developing this technology and making it applicable to conventional route buses, we aim to contribute to a future with flexible and convenient public transportation networks.

We transport numerous guests comfortably and flexibly
References

[1] H. Shimizu, A. Fujino, H. Sawada, N. Ueda, “Optimizing Route Network and Timetable of Shuttle Bus for Massive Events,” (in Japanese) Transactions on Mathematical Modeling and its Applications (TOM) of the Information Processing Society of Japan (IPSJ), 2023 (To appear).

Poster
Contact

Hitoshi Shimizu

Learning and Intelligent Systems Research Group, Innovative Communication Laboratory

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