Adaptive Message Prioritization for Vehicular Cooperative Perception at Target Intervals

• Item type: Journal(1)
• 公開日: 2023-02-15
• タイトル: Adaptive Message Prioritization for Vehicular Cooperative Perception at Target Intervals
• タイトル / 言語: en
• タイトル: Adaptive Message Prioritization for Vehicular Cooperative Perception at Target Intervals
• 言語: eng
• キーワード / 主題Scheme: Other
• キーワード / 主題: [特集:ネットワークサービスと分散処理] vehicular communication, cooperative perception, wireless congestion control, transmission priorities, age of information
• 資源タイプ / 資源タイプ識別子: http://purl.org/coar/resource_type/c_6501
• 資源タイプ: journal article
• 著者所属: Department of Information and Computer Science, Keio University
• 著者所属: Department of Information and Computer Science, Keio University
• 著者所属: Department of Information and Computer Science, Keio University
• 著者所属: Department of Information and Computer Science, Keio University
• 著者所属(英): en
• 著者所属(英): Department of Information and Computer Science, Keio University
• 著者所属(英): en
• 著者所属(英): Department of Information and Computer Science, Keio University
• 著者所属(英): en
• 著者所属(英): Department of Information and Computer Science, Keio University
• 著者所属(英): en
• 著者所属(英): Department of Information and Computer Science, Keio University
• 著者名: Masashi, Kunibe; Rei, Yamazaki; Taichi, Murakawa; Hiroshi, Shigeno
• 著者名(英): Masashi, Kunibe; Rei, Yamazaki; Taichi, Murakawa; Hiroshi, Shigeno
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: In this paper, we propose adaptive message prioritization for vehicular cooperative perception at target intervals. The purpose of this paper is to ensure that Connected and Autonomous Vehicles (CAVs) can perceive the surrounding traffic environment by exchanging wireless messages such as Cooperative Awareness Messages (CAMs) and Cooperative Perception Messages (CPMs). Especially, under challenging conditions such as the wireless congestion control or the mixed-traffic of CAVs and human-driven vehicles, the number of perceptible objects by these messages decreases due to the message transmission rate control under the congestion control or the less message transmission under the low CAV penetration rate. To perceive the surrounding objects under the challenging conditions, the proposed method assigns high transmission priority to CPMs that include the information of multiple objects perceived by in-vehicle sensors. Specifically, the method controls the transmission frequency of CAMs and CPMs by assigning transmission priority to them such that the maximum perception interval approaches the target interval. Simulation result shows that 75% CAVs perceive surrounding vehicles within the target interval even under both the wireless congestion control and 20% CAV penetration rate.; ------------------------------; This is a preprint of an article intended for publication Journal of; Information Processing(JIP). This preprint should not be cited. This; article should be cited as: Journal of Information Processing Vol.31(2023) (online); DOI http://dx.doi.org/10.2197/ipsjjip.31.57; ------------------------------
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: In this paper, we propose adaptive message prioritization for vehicular cooperative perception at target intervals. The purpose of this paper is to ensure that Connected and Autonomous Vehicles (CAVs) can perceive the surrounding traffic environment by exchanging wireless messages such as Cooperative Awareness Messages (CAMs) and Cooperative Perception Messages (CPMs). Especially, under challenging conditions such as the wireless congestion control or the mixed-traffic of CAVs and human-driven vehicles, the number of perceptible objects by these messages decreases due to the message transmission rate control under the congestion control or the less message transmission under the low CAV penetration rate. To perceive the surrounding objects under the challenging conditions, the proposed method assigns high transmission priority to CPMs that include the information of multiple objects perceived by in-vehicle sensors. Specifically, the method controls the transmission frequency of CAMs and CPMs by assigning transmission priority to them such that the maximum perception interval approaches the target interval. Simulation result shows that 75% CAVs perceive surrounding vehicles within the target interval even under both the wireless congestion control and 20% CAV penetration rate.; ------------------------------; This is a preprint of an article intended for publication Journal of; Information Processing(JIP). This preprint should not be cited. This; article should be cited as: Journal of Information Processing Vol.31(2023) (online); DOI http://dx.doi.org/10.2197/ipsjjip.31.57; ------------------------------
• 書誌レコードID / 収録物識別子タイプ: NCID
• 書誌レコードID / 収録物識別子: AN00116647
• 書誌情報: 情報処理学会論文誌; 巻 64, 号 2, 発行日 2023-02-15
• ISSN / 収録物識別子タイプ: ISSN
• ISSN / 収録物識別子: 1882-7764
• 公開者 / 言語: ja
• 公開者 / 出版者: 情報処理学会