文章基本信息

标题：利用予定時間帯申告の導入による乗合運行台数の適正化
本地全文：下载
作者：太田真人 ; 櫻井祐子 ; 岡留剛等
期刊名称：人工知能学会論文誌
印刷版ISSN：1346-0714
电子版ISSN：1346-8030
出版年度：2021
卷号：36
期号：6
页码：1-9
DOI：10.1527/tjsai.36-6_AG21-K
语种：Japanese
出版社：The Japanese Society for Artificial Intelligence
摘要：In this paper, we introduce a user ’s pre-declaration for her demand in order to improve a on-demand ridesharing operation plan by decreasing the number of vehicles. While a reservation requires a user to declare a precise riding time, we allow users to report a certain time period in advance. We evaluate the effectiveness of pre-declaration by computational simulations. In more detail, we evaluate the number of vehicles based on users’ pre-declarations to satisfy the threshold condition for average pick-up time by running computational simulations. However, A detailed simulation requires huge computation time. To solve this problem, we propose a method to determine the number of vehicles to run a simulation by applying Bayesian optimization. In the proposed method, the acquisition function is used to search for the number of vehicles whose average pickup time is around a threshold value. The experimental results show that the proposed method works well in reducing the number of vehicles.
关键词：on-demand ride-sharing;pre-declaration;multi-agent simulation;Bayesian optimization