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    請使用永久網址來引用或連結此文件: http://ir.lib.ncu.edu.tw/handle/987654321/82325


    題名: 實現創新V2X車眾智慧合作共享服務的自駕車雲網的關鍵技術研究-總計畫暨子計畫一:支援車雲網多天線多頻道的車眾分享的動態連線管理設計;Autonomous Vehicular Cloud Networking for Innovative Cooperated V2x Sharing and Safety Services--Grand Project and Subproject 1: the Dynamic Connection Management for Mimo Multi-Channel Vehicle Cloud Services
    作者: 吳曉光;黃志煒;陳璽煌;林俊宏;孫敏德;劉建興
    貢獻者: 國立中央大學資訊工程學系
    關鍵詞: 車聯網;車雲網;車載資通訊系統;第五代行動網路;網路資源最佳化演算法設計;學習代理人;IoV;Vehicle cloud network;Vehicle communication system;5th generation mobile network;Resources optimization algorithm design;Learning agent
    日期: 2020-01-13
    上傳時間: 2020-01-13 14:40:31 (UTC+8)
    出版者: 科技部
    摘要: 隨著時間的推移,現今我們正走向無人駕駛的未來,相關技術也正日益成熟,曾經被認為是科幻小說的東西已成為現實。在過去幾年中,雖然自動駕駛汽車的數量日益增加,不過現階段的自駕車計畫大多都是屬於單一智能車輛的應用。本計畫將設計一套協作式的智慧V2X系統,在2020年展望新的無線通訊技術導入,並加入雲計算和車輛隨意網(VANET)的整合,讓前後車子彼此之間透過資訊傳遞、協作運算來互相調整,構成一個Vehicular Cloud世代,達到互相分享車況訊息、周遭安全訊息的互助服務。這就需要三個部分:最新的無線通訊技術、快速網路雲端建置;智慧推演、最佳模式的擬定;以及智慧車的實現與下載平台。關鍵的無線技術:多天線傳輸(MIMO)、多頻道(Multichannel)、及時信息分享(Real time traffic)、創新數據延遲傳遞(Delay-tolerant traffic)。在車雲網智慧運算部分,針對車聯網中要求高移動性 (mobility)、設備間互動、與分散式管理等挑戰,結合多代理人增強式學習 (multi-agent reinforcement learning, MARL)方法。除此之外,也將針對智慧公共車與智慧載車環境提供遠端車輛軟體更新 (Over-The-Air)、公共運輸系統的支援、影音傳輸通訊技術的設計。在這個新世代V2X車眾智慧合作共享服務中,除了針對駕駛安全與危險狀況之預警、駕駛便利性、駕駛與行人防護的重要性之外,還會注重乘客的娛樂性與便利性,甚至交通事故回報、經驗分享等等。營造一個更有效率、更加節能、更加舒適地移動的智慧生活願景。 ;As time goes by, today we are heading towards the future of self-driving cars, and related technologies are becoming more and more mature. What was once considered a science fiction novel has become a reality. In the past few years, although the number of self-driving cars has increased, most of the current self-driving projects are for single-vehicle applications. Therefore, this project will design a cooperative smart V2X system, look forward to the introduction of new wireless communication technology in 2020, and join the integration of cloud computing and VANET, so that the front and rear cars can adjust each other through information transmission and cooperative computing. Form a generation of Vehicular Cloud, and achieve mutual support services that share the status of the car and the surrounding security messages. It requires three parts: the latest wireless communication technology, fast network cloud implementation; smart deduction, the formulation of the best mode; and the implementation and download platform of the smart car. First, key wireless technologies are MIMO, Multichannel, Real time traffic, and Delay-tolerant traffic. In the smart computing part of the Cloud Vehicle, the multi-agent reinforcement learning (MARL) method is combined with the challenges of high mobility, inter-device interaction, and decentralized management in the Internet Vehicle. In addition, it will provide remote vehicle software update (Over-The-Air), public transportation system support, and audio and video transmission and communication technology for smart public vehicles and smart car environments. Besides the importance of driving safety and dangerous conditions, driving convenience, driving and pedestrian protection, this new generation V2X vehicle intelligence cooperation sharing service will also pay attention to the entertainment and convenience of passengers, and even traffic accident return, experience sharing, etc. Create a smart life vision that is more efficient, energy efficient, and more comfortable to move.
    關聯: 財團法人國家實驗研究院科技政策研究與資訊中心
    顯示於類別:[資訊工程學系] 研究計畫

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