JSAI2024

Presentation information

General Session

General Session » GS-5 Agents

[3A5-GS-5] Agents:

Thu. May 30, 2024 3:30 PM - 5:10 PM Room A (Main hall)

座長:坂本 孝丈(静岡大学)

3:30 PM - 3:50 PM

[3A5-GS-5-01] Transit Allocation Method for Area-Divided Smart Access Vehicle Service

〇Chiharu Uno1, Hiroki Sakaji1, Itsuki Noda1 (1. Hokkaido University)

Keywords:agent simulation, on-demand transportation, optimization

In this paper, we propose a transit allocation method for Smart Access Vehicle Sercvice.
This method is devised to enable efficient allocation of vehicles to demand that extends over multiple business areas.
There are two types of proposed methods: the Last method and the Next method.
Simulation experiments were conducted to compare the two proposed methods with the current allocation method.
The results of the experiments show that the proposed methods have advantages in several criterion of usabilities.
From experiment results, we could find that the Next method was superior than the Last method.

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