:::

詳目顯示

回上一頁
題名:動態流量推估動態O-D方法之研究
書刊名:運輸計劃
作者:曾國雄卓訓榮 引用關係周幼珍 引用關係江勁毅
作者(外文):Tzeng, Gwo-hshiungCho, Hsun-jungJou, Yow-jenChiang, Chin-i
出版日期:1997
卷期:26:4
頁次:頁615-638
主題關鍵詞:動態旅次起迄動態流量卡門濾波器Dynamic O-DDynamic traffic countsKalman filter
原始連結:連回原系統網址new window
相關次數:
  • 被引用次數被引用次數:期刊(3) 博士論文(0) 專書(0) 專書論文(0)
  • 排除自我引用排除自我引用:3
  • 共同引用共同引用:0
  • 點閱點閱:13
     截至目前為止,高速公路上利用動態的路段流量資訊推估動態旅次起迄的模式, 以 Chang and Wu (1994) 所建立的模式在實際操作上最為可行。 以往的相關研究由於忽略 了旅行時間所造成時間延滯的影響,因此與現實狀況顯然不符。而 Chang and Wu 的模式和 以往相關研究最重要之不同點在於考慮時間延滯的因素, 並使用了主線道流量資訊。 然而 Chang and Wu 的模式,在加入主線道流量資訊後, 由於未考慮上游路段與下游匝道之時差 ,因此造成模式之狀態變數定義前後不一。另外,此模式推估旅行時間的方法也並不恰當。 所以本研究針對這些缺失進行修正, 提出正確之高速公路動態 O-D 推估模式,並利用密度 -- 速度關係來估算各時段之路段旅行時間,以改良原模式之估算法; 同時提出修正後模式 之求解方式,最後以一個數值例證明修正後模式之可求解性。
     Up to now, the model which estimates dynamic O-D from dynamic traffic counts on the highway is well developed by Chang and Wu (1994). The major difference between this model and others is its adoption of the time-delay factor and main line traffic counts. Other researchs pay less attention to the factor of travel time, and that does not match with the real situation. However, in Chang and Wu's model using the main line traffic counts without considering the time lag between upstream and downstream makes the definition of state variable ambiguous. After all, the travel time considered in the model can only be used before traffic jams. Our research, therefore, provides a density-speed relation to estimate the travel time of each interval and gives a correct dynamic highway O-D estimates and also improves the problem solving procedure. A numerical example is given to show that this improved model leads to feasible solutions.
期刊論文
1.Nihan, N. L.、Davis, G. A.(1989)。Application of Prediction-error Minimization and Maximum Likelihood to Estimate Intersection O-D Matrices from Traffic Counts。Transportation Science,23(2),77-90。  new window
2.Cascetta, E.、Inaudi, D.、Marquis, G.(1993)。Dynamic Estimator of Origin-destination Matrices Using Traffic Counts。Transportation Science,27(4),363-373。  new window
3.Bell, M. G. H.(1991)。The Real Time Estimation of Origin-destination Flows in the Presence of Platoon Dispersion。Transportation Research,25B,115-125。  new window
4.Cascetta, E.、Nguyen, S.(1998)。An Unified Framework for Estimating or Updating Origin-destination Matrices from Traffic Counts。Transportation Research,22B,437-455。  new window
5.Cremer, M.、Keller, H.(1987)。A New Class of Dynamic Method for the Identification of Origin-destination Flows。Transportation Research,21B,117-132。  new window
6.Kikuchi, S.、Nanda, R.、Perincherry, V.(1993)。A Method to Estimation Trip O-D Patterns Using a Neural Network Approach。Transportation Planning,17,51-65。  new window
7.Nihan, N. L.、Harmed, M. M.(1992)。Fixed-point Approach to Estimation Freeway Origindestination Matrices and the Effect of Erroneous Data on Estimate Precision。Transportation Research Record,1357,18-28。  new window
8.Yang, H.、Sasaki, T.、Iida, Y.、Asakura, Y.(1992)。Estimation of Origin-destination Matrices from Link Traffic Counts on Congested Networks。Transportation Research-B,26B(6),417-434。  new window
9.Yang, H.、Iida, Y.、Sasaki, T.(1991)。An Analysis of Reliability of an Origin-destination Trip Matrix Estimated from Traffic Counts。Transportation Research,25B,351-363。  new window
10.Chang, G. L.、Wu, J.(1994)。Recursive Estimation of Time-varying O-D Flows from Traffic Counts in Freeway Corridors。Transportation Research B,28(2),141-160。  new window
11.Bell, M. G. H.(1991)。The Estimation of Origin-destination Matrices by Constrained Generalised Least Squares。Transportation Research B,25(1),13-22。  new window
12.Nihan, N. L.、Davis, G. A.(1987)。Recursive Estimation of Origin-destination Matrices from Input / Output Counts。Transportation Research B,21(2),149-163。  new window
會議論文
1.Ashok, K.、Ben-Akiva, M. E.(1993)。Dynamic Origin-destination Matrix Estimation and Prediction for Real-time Traffic Management Systems。12th International Symposium of Transportation and Traffic Theory。  new window
2.PIoss, G.、Keller, H.(1986)。Dynamic Estimation of Origin and Destination Flows from Traffic Counts in Network。The International Conference on Transportation System Studies。Delhi。  new window
3.Willumsen, K. G.(1984)。Estimating Time-dependent Trip Matrices from Traffic Counts。The Ninth International Symposium on Transportation and Traffic Theory。VNU Science press。397-411。  new window
4.Yang, H.、Akiyama, T.、Sasaki, T.(1992)。A Neural Network Approach to the Identification of Real time Origin-destination Flows from Traffic Counts。The International Conference on Artificial Intelligence Applications in Transportation Engineering,(會議日期: June 20-24, 1992)。San Buenaventura, CA。  new window
研究報告
1.Sivanandan, R.、Sharali, H. D.、Hobeika, A. G.(1994)。New Approach for Estimating Origindestination (O-D) Trip Tables from Traffic Counts。  new window
圖書
1.Wu, J.(1994)。Approaches to Estimate Time-varying O-D Flows Matrices from Traffic Counts: The State of the Art。  new window
2.卓訓榮、周幼珍(1995)。公路車輛起迄調査方法之研究。交通部運輸研究所。  延伸查詢new window
3.Grewal, M. S.、Andrews, A. P.(1993)。Kalman Filtering--Theory and Practice。New Jersey:Prentice Hall。  new window
圖書論文
1.Okutani, I.(1987)。The Kalman Filtering Approaches in Some Transportation and Traffic Problems。Transportation and Traffic Theory。Elsevier Science Publishing Co., Inc.。  new window
 
 
 
 
第一頁 上一頁 下一頁 最後一頁 top
QR Code
QRCODE