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  1. A500 情報学部/情報学研究科・情報文化学部・情報科学研究科
  2. A500a 雑誌掲載論文
  3. 学術雑誌

Behavioral Decision Based on Abstraction of Pheromone Distribution for Transport Vehicles

http://hdl.handle.net/2237/6919
http://hdl.handle.net/2237/6919
984767cc-b2cc-4b84-98a8-05032763df4c
名前 / ファイル ライセンス アクション
ICTAI_05_679.pdf ICTAI_05_679.pdf (625.8 kB)
Item type 学術雑誌論文 / Journal Article(1)
公開日 2006-09-11
タイトル
タイトル Behavioral Decision Based on Abstraction of Pheromone Distribution for Transport Vehicles
言語 en
著者 Mukai, Naoto

× Mukai, Naoto

WEKO 13564

en Mukai, Naoto

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Watanabe, Toyohide

× Watanabe, Toyohide

WEKO 13565

en Watanabe, Toyohide

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Jun, Feng

× Jun, Feng

WEKO 13566

en Jun, Feng

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アクセス権
アクセス権 open access
アクセス権URI http://purl.org/coar/access_right/c_abf2
権利
言語 en
権利情報 Copyright © 2005 IEEE. Reprinted from (relevant publication info). This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Nagoya University’s products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org.
抄録
内容記述タイプ Abstract
内容記述 In this paper, we focus on behavioral decisions for empty transport veicles e.g., they shoud wait on their place or go to other places. Effective behaviors of empty vehicles enable to decrease waiting times of customers. Our algorithm to acquire such effective behaviors is based on transport experiences of vehicles (i.e., history). It means that vehicles adjust to their city environment by learning trends of transport demands (e.g., amounts and directions). Our algorithm consists of learning and abstraction stages. In the learning stage, vehicles acquire low-level rules of actions at an intersection. In the abstraction stage, vehicles acquire high-level rules of actions in a region. Finally, we report simulation results and show the effectiveness of our algorithm.
言語 en
出版者
出版者 IEEE
言語 en
言語
言語 eng
資源タイプ
資源タイプresource http://purl.org/coar/resource_type/c_6501
タイプ journal article
出版タイプ
出版タイプ VoR
出版タイプResource http://purl.org/coar/version/c_970fb48d4fbd8a85
DOI
関連タイプ isVersionOf
識別子タイプ DOI
関連識別子 https://doi.org/10.1109/ICTAI.2005.45
書誌情報 en : 17th IEEE International Conference on Tools with Artificial Intelligence

p. 679-680, 発行日 2005-11
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値 application/pdf
著者版フラグ
値 publisher
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識別子 http://hdl.handle.net/2237/6919
識別子タイプ HDL
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