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題名:號誌轉換下猶豫區間之研究
書刊名:運輸學刊
作者:周義華周榮昌李銷桂
作者(外文):Chou, Yi-hwaJou, Rong-changLee, Shaw-quey
出版日期:1999
卷期:11:1
頁次:頁73-89
主題關鍵詞:猶豫區間多變量因子分析羅吉特模式類神經網路模式Artificial neural networkBack-propagation networkFactor analysisLogit model
原始連結:連回原系統網址new window
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  • 被引用次數被引用次數:期刊(1) 博士論文(0) 專書(0) 專書論文(0)
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  • 點閱點閱:23
     本研究採實地調查方式蒐集號誌轉換下, 可能影響駕駛者是否通過路口之行為 變數,然後,配合多變量因子分析及羅吉特模式進一步篩選出主要之變數以作為構建駕駛者 選擇行為模式之基礎。在模式建立方面,本研究利用類神經網路模式來探討駕駛者之不確定 行為,並由類神經網路構建之駕駛者行為模式進而推估猶豫區間,最後以所推估之猶豫區問 與實際猶豫區間作一比較,藉以確認本研究所得模式之有效性。結果顯示推估與實際之猶豫 區間兩者的一致性甚高,證實本研究構建之類神經模式的適用性。至於模式未來應用,可作 為號誌轉換時段設計之參考。
     To properly investigate a driver behavior at signalized intersections, an artificial neural network (ANN) architecture called back-propagation network (BFN) was proposed in this study. Driver behavior can be modeled as a binary decision which is stop or go at the onset of amber. Field data were recorded from three intersections in Taiwan (one in Taipei city, two in Taichung city). The data were analyzed through the factor analysis and logit model estimation techniques. The BPN model developed for each intersection consisted of two input variables in the input buffer and one driver's decision in the output layer. The results obtained from the study show the applicability and validation of the basic ANN method to the complex driver behavior problem. The relatively simple BPN model turns out to be a very satisfactory tool for predicting accurate network outcomes compared to the logit model. It is expected that the validated model can be directly applied to traffic controls in urban areas.
期刊論文
1.黃承傳(198912)。號誌轉換時段設計之研究。運輸,6,11-33。  延伸查詢new window
2.Chang, M. S.、Messer, C. J.、Santiago, A.(1984)。Evaluation of Engineering Factors Affecting Traffic Signal Change Interval。Transportation Research Record,956,18-21。  new window
3.Mahalel, D.、Zaidel, D.(1986)。A Probabilistic Approach for Determining the Change Interval。Transportation Research Record,1069,39-45。  new window
4.Wei, C. H.、Schonfeld, P. M.(1993)。An Artificial Neural Network Approach for Evaluating Transportation Network Improvements。Journal of Advanced Transportation,27(2),129-150。  new window
會議論文
1.吳水威、劉正旭(199412)。號誌化交叉路口黃燈對駕駛者決策行為之研究。中華民國運輸學會第九屆論文研討會。  延伸查詢new window
2.黃泰林、何志宏(199412)。適應性號誌中類神經網轉向比推估模式之建立。中華民國運輸學會第九屆論文研討會。  延伸查詢new window
3.鄒課萬(199411)。類神經網路系統應用於台中縣國宅等候戶需求特性分析之研究。中華民國都市計劃學會學術研討會。  延伸查詢new window
4.魏健宏(199312)。人工神經網路應用於國內交通運輸研究之可行性探討。中華民國運輸學會第八屆論文研討會。  延伸查詢new window
5.Faghri, A.、Hua, J.(199201)。Evaluation of Artificial Neural Networks Application in Transportation Engineering。71st Annual Meeting of the Transportation Research Board。  new window
6.John, H. M.(1991)。Neural Network Learning Algorithms。WNN-AIND。  new window
7.Hecht-Nielsen, R.(1989)。Theory of the Backpropagation Neural Network。International Joint Conference on Neural Networks。Piscataway, NJ。593-605。  new window
學位論文
1.劉正旭(1994)。號誌化交叉路口黃燈對駕駛者決策行為之研究(碩士論文)。國立交通大學。  延伸查詢new window
2.王勝石(199507)。影像處理與類神經網路整合模式應用於車種分類之研究(碩士論文)。國立成功大學。  延伸查詢new window
圖書
1.葉怡成(19940900)。類神經網路模式應用與實作。台北市:儒林圖書有限公司。  延伸查詢new window
2.葉怡成(199203)。Neural Networks Professional II Plus Training Course。中綱科技股份有限公司。  延伸查詢new window
3.張紹勳、林秀娟(1995)。SPSS for Windows統計分析--初等綵計與高等統計。松崗。  延伸查詢new window
4.(1991)。Neural Computing--Neuralworks Professional II / Plus and Neuralworks Explorer。Neuralworks, Inc.:Technical Publication Group。  new window
5.Patrick, K. S.(1990)。Artificial Neural Systems: Foundation Paradigms Applications and Implementations。New York:Pergamon Press。  new window
6.Johnson, Richard A.、Wichern, Dean W.(1988)。Applied Multivariate Statistical Analysis。Prentice Hall。  new window
7.張維哲(1992)。人工神經網路。台北:全欣資訊圖書股份有限公司。  延伸查詢new window
8.焦李成(199110)。神經網路系統理論。儒林圖書有限公司。  延伸查詢new window
9.蔡輝昇(199004)。交通控制理論與實務。生合成出版社。  延伸查詢new window
10.黃俊英(1991)。多變量分析。臺北:中華經濟企業研究所。  延伸查詢new window
11.林清山(1983)。多變項分析統計法。台北:東華書局。  延伸查詢new window
 
 
 
 
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