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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
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dc.contributor.advisor | 詹魁元(Kuei-Yuan Chan) | |
dc.contributor.author | Chun-Ting Lin | en |
dc.contributor.author | 林峻廷 | zh_TW |
dc.date.accessioned | 2021-06-17T06:21:44Z | - |
dc.date.available | 2018-08-21 | |
dc.date.copyright | 2018-08-21 | |
dc.date.issued | 2018 | |
dc.date.submitted | 2018-08-18 | |
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dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/72068 | - |
dc.description.abstract | 自主駕駛車輛很可能在未來的道路上逐漸增加,然而在台灣的都會交通中,機車位機動車輛比率約65%,是不可忽視的部份,而自主駕駛車輛對汽機混流環境的影響,缺乏足夠的評估。因此本研究以微觀交通模擬為基礎,分別對一般駕駛汽車、機車、自主駕駛車輛及車隊自主駕駛車輛建立模型,並撰寫電腦程式進行模擬。其中一般駕駛汽車使用行為門檻模型,機車使用力場模型,自主駕駛車輛使用智慧駕駛模型,車隊自主駕駛車輛則以智慧駕駛模型並加上能跟隨前車加速度的模型。並且以實地空拍的資料對一般駕駛汽車及機車模型進行驗證。模擬的結果為無車隊功能的自主駕駛車輛對車流幾乎沒有影響,而有車隊功能的自主車輛在純汽車環境下隨著自駕車增加有越來越顯著的上升。車隊自主車輛在汽機車混流環境下,則對依機車的比例有不同的影響,在無機車情況下最大流量可以增加95.4%,但在75%的機車環境下最大流量僅增加5.8%,機車的存在會降低車隊自主駕駛車對車流表現提升的幅度。 | zh_TW |
dc.description.abstract | Autonomous car has a high possibility to become the mainstream in the future road. However, motorcycle plays a non-negligible part role in Taiwanese urban traffic. About 65% of motor vehicles are motorcycle.The effect of autonomous on mix-fleet traffic is not yet well evaluated. This research is based on microscopic traffic simulation. And models of normal driver car, motorcycle, autonomous car, autonomous car with platooning function are built respectively. The simulation is done by program application. The model of normal driver using action point model, motorcycle using force field model, and autonomous car using intelligent driver model, autonomous car with platooning function using model that follow the acceleration of car in front.We verified the models of normal driver car and motorcycle by aerial video. The result indicates that autonomous car has no influence on traffic flow. On the other hand, autonomous with platooning function has a significant growth with the increasing number of autonomous cars in pure car traffic. Autonomous with platooning function has different influence in mix-fleet traffic with respect to different percentage of motorcycles. Traffic flow increase 95.4% with no motorcycle, but only increase 5.8% with 75%motorcycles. The exist of motorcycle will decrease the advantage of autonomous with platooning function on traffic flow. | en |
dc.description.provenance | Made available in DSpace on 2021-06-17T06:21:44Z (GMT). No. of bitstreams: 1 ntu-107-R05522610-1.pdf: 7936243 bytes, checksum: 7221f049a270ce4745ae79d99e976efd (MD5) Previous issue date: 2018 | en |
dc.description.tableofcontents | 誌謝 i
摘要 ii Abstract iii 目錄 iv 圖目錄 viii 表目錄 x 符號列表 xi 第一章 緒論 1 1.1 研究背景 1 1.2 研究動機 3 1.3 研究目的 4 1.4 研究架構 5 第二章 文獻回顧 7 2.1 車流模擬方法概述 7 2.2 微觀模擬基本架構 8 2.3 跟車模型(car-following model,CF) 9 2.3.1 刺激-反應模型(stimulus-response) 10 2.3.2 安全距離模型 10 2.3.3 Gipps’ 模型 11 2.3.4 智慧駕駛模型(Intelligent driver model,IDM) 11 2.3.5 動作點模型(Action Point model,AP) 12 2.3.6 Wiedemann’s 範例(paradigm) 13 2.4 變換車道模型(lane-changing,LC) 15 2.4.1 Gipps’ 模型 15 2.4.2 微觀交通模擬模型(microscopic traffic simulation,MITSIM) 16 2.5 機車模型 17 2.5.1 無車道模型 18 2.5.2 力場模型 19 2.6 相關預測研究 23 2.7 小結 24 第三章 自主與人為駕駛之混流模型 25 3.1 環境設定 25 3.2 車種介紹 26 3.3 車輛跟隨模型 27 3.3.1 一般駕駛 27 3.3.2 自主駕駛車 28 3.3.3 車隊自主駕駛車 29 3.4 變換車道模型 29 3.5 機車模型 30 3.6 模擬程式 33 第四章 驗證方法 36 4.1 驗證方法 36 4.1.1 統計指標 37 4.2 資料取得 37 4.2.1 實地資料取得 38 4.2.2 模擬資料取得 42 4.3 微觀驗證 42 4.4 巨觀驗證 43 4.5 驗證小結 45 第五章 模擬結果 46 5.1 車流表現指標 46 5.2 現今交通環境 47 5.2.1 汽車機車比較 48 5.2.2 汽車行為比較 50 5.3 純汽車交通環境之預測 52 5.3.1 一般駕駛與自主駕駛車輛混流 53 5.3.2 車隊自駕車 54 5.4 汽機車混流環境之預測 55 5.4.1 自駕車 55 5.4.2 車隊自駕車 57 第六章 結論與未來展望 60 6.1 研究總結 60 6.2 研究貢獻 61 6.3 研究建議及未來工作 62 參考文獻 64 | |
dc.language.iso | zh-TW | |
dc.title | 自主駕駛車輛的佔有比對都會混流交通的影響 | zh_TW |
dc.title | A Study on the Effect of Autonomous Vehicle Penetration
Rate in Urban Mix-fleet Traffic | en |
dc.type | Thesis | |
dc.date.schoolyear | 106-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 劉霆(Tyng Liu),吳文方(Wen-Fang Wu) | |
dc.subject.keyword | 自主駕駛車,汽機車混流,微觀車流模擬,流量基本圖,車隊, | zh_TW |
dc.subject.keyword | Autonomous car,Mix-fleet,Microscopic traffic simulation,Fundamental diagram of traffic flow,Platooning, | en |
dc.relation.page | 66 | |
dc.identifier.doi | 10.6342/NTU201803922 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2018-08-18 | |
dc.contributor.author-college | 工學院 | zh_TW |
dc.contributor.author-dept | 機械工程學研究所 | zh_TW |
顯示於系所單位: | 機械工程學系 |
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