查詢結果分析
相關文獻
- 基於路況訊息分級之個人化駕駛輔助機制
- Vibration Isolation by Using Magnetostrictive Actuator
- 機車防鎖定煞車系統之實作
- 模糊集合論在教育評分等級系統之應用
- 堆高機傾覆預警裝置細部設計及分析
- 以模糊邏輯為基礎之飛彈導控系統設計
- 模糊邏輯在財務危機預測上之應用
- Design of an On-Line Fuzzy Logic Controller for a Dynamic Enhanced Biological Phosphorus Removal Process
- 機器故障偵測利用訊號處理與式樣辨識技術
- 模糊與類神經模糊邏輯於氬銲電弧控制之研究
頁籤選單縮合
題名 | 基於路況訊息分級之個人化駕駛輔助機制=Personal Driving Assistance Mechanism Based on Road Information |
---|---|
作 者 | 莊淳富; 林育輝; 楊宗賢; 林怡君; 張俊哲; | 書刊名 | 電腦與通訊 |
卷期 | 157 2014.06[民103.06] |
頁次 | 頁37-44 |
專輯 | 行車駕駛輔助技術與應用專題 |
分類號 | 447.17 |
關鍵詞 | 個人化駕駛輔助機制; 駕駛行為模型; 神經網路建模; 模糊邏輯; Personal driving assistance mechanism; PDAM; Driving behavior model; DBM; Neural network modeling; NNM; Fuzzy logic; FL; |
語文 | 中文(Chinese) |
中文摘要 | 研究提出基於路況訊息分級之個人化駕駛輔助機制,能夠針對不同道路特徵進行量化分析,並以模糊邏輯概念實現道路等級設計,提供駕駛以直覺的方式,在短時間內了解路況的呈現或變化。此外利用類神經網路建立駕駛行為模型,可分析駕駛在不同道路特徵下的典型駕駛行為,並建立駕駛可容忍之道路等級。此建模之輸出結果,可做為道路訊息過濾機制的判斷條件,並透過所開發之駕駛模擬平台,分別比較傳統警示方式與個人化警示方式,可驗證我們所提出之輔助方法,有效降低警示系統對於駕駛者不必要之警示干擾。 |
英文摘要 | This study presents the personal driving assistance mechanism based on road information grade. It can provide quantitative analysis in various road characteristics, and realize the road information grade design by the concept of fuzzy logic. The proposed approach provides drivers an intuitive way to understand rapidly the variation of the road condition. Moreover, the neural network is used to construct the driving behavior model. It can be utilized to analyze the typical driving behavior in various road characteristics and establish the road level which driver can tolerance. The output of driving behavior model can be regarded as determined condition for road information filtering. In addition, the driving simulation platform is developed to compare the traditional and personal alert way. It can verify that our proposed assistance system is able to reduce the non-necessary alert which may cause the driver interference. |
本系統之摘要資訊系依該期刊論文摘要之資訊為主。