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題 名 | General-Motors (GM) Based and Fuzzy-neural Based Motorcycle Following Models--A Comparison |
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作 者 | 藍武王; 張瓊文; 郭怡雯; | 書刊名 | 交通運輸 |
卷 期 | 22 2003.06[民92.06] |
頁 次 | 頁23-34 |
分類號 | 557.81 |
關鍵詞 | 機車跟車行為; GM模式; 模糊類神經模式; Motorcycle following behaviors; General-motors model; GM model; Fuzzy-neural model; |
語 文 | 英文(English) |
中文摘要 | 本文實地觀察混合車流中具有跟車現象之機車行為特性,經統計檢定發現,「相對速率差」、「與前車間距」、「前車加速率」係影響機車跟車加速率之顯著性因素。本文分別建構GM型式及模糊類神經型式之機車跟車模式,經實證顯示GM跟車模式配適度相當低,難以有效描述機車之跟車行為,模糊類神經跟車模式配適度比GM跟車模式優越甚多,確能描述實際之機車跟車行為。最後本文以模糊類神經模式模擬機車在兩公尺寬專道上之跟車行為,結果顯示每小時機車流量為5,360輛,與相同狀況下臺灣地區公路容量手冊每小時之5,400輛相近。 |
英文摘要 | This paper conducts a field observation on mixed traffic flows and analyzes the motorcycles with following phenomena. Statistical testing shows that the significant factors affecting motorcycle’s following behaviors include relative speed and distance headway of a motorcycle and its lead vehicles, speed and/or acceleration rate of the lead vehicles. General-motors (GM) based car-following models are constructed but they poorly explain the motorcycle’s following behaviors. Fuzzy-neural motorcycle-following models are further constructed based on the significant factors. It is found that the fuzzy-neural models have overwhelmingly outperformed in depicting the motorcycle-following behaviors. Finally, we employ the fuzzy-neural model to simulate motorcycle platoons traveling in a motorcycle exclusive lane of two-meter width under various scenarios. A rather robust flow rate of 5,360 motorcycles per hour is obtained, which is concurred with the Manual value of 5,400 motorcycles per hour. |
本系統中英文摘要資訊取自各篇刊載內容。