張堂賢2006-07-252018-07-092006-07-252018-07-092003http://ntur.lib.ntu.edu.tw//handle/246246/2816即時之交通資料蒐集為一切運輸智慧化發展的核心與基礎，本研究為 達到以點、線交通參數來進一步達到交通預測之目的，分三個單元進行研 究。第一單元針對環路線圈式之佈設方式與交通估算參數進行檢討，並研 究如何使環路線圈車輛偵測器發揮最大之效用，準確辨識不同車種並作計 數。第二單元係運用交通探測車的觀念，利用GPS 定位系統追蹤其所在道 路區位之座標資料，進而轉換為預測道路車輛旅行時間等資料。研究之第 三單元將透過主動及被動交通資訊之融合技術，發展出點線資料融合技術 於旅次起迄倒推及旅行時間推估模式。本研究經由準確的交通資料蒐集、 優質的分析技術與預測邏輯法則，將可有效作為交通改善之應用。Real time traffic data acquisition has been the nucleus and basis of all the development of ITS. For the aim at predicting traffic by spot and linear parameters, there are 3 parts in this study. The first one, we not only concentrated on reviewing the layout of loop detectors, as well as estimation for traffic parameters, but also paid attention to investigating how to make the use of loop detectors and improving the identification of traffic flows. The second, the concept of probe car was employed to tracking the position of floating cars by GPS system, and then, transferring this location data to prediction of travel time. The third, by the technique of the fusion of active & passive traffic information, we adopted the spot and linear traffic data for estimation of OD matrices from traffic counts. This application study is well to improve the traffic efficiently by accurate data searching, sophisticated analysis skill and forecasting framework.application/pdf560989 bytesapplication/pdfzh-TW國立臺灣大學土木工程學系暨研究所環路線圈偵測器佈設交通探測車動態旅行時間預測資料融合loop detector layoutprobe carprediction of dynamic travel timedata fusionreporthttp://ntur.lib.ntu.edu.tw/bitstream/246246/2816/1/912211E002082.pdf