隨著全球資訊網使用日漸普及，建置交通資訊網站提供用路人行前交通資訊已成為發展先進旅行者資訊系統首要工作。然而受限於網站主從式系統架構，網頁往往受到網路環境壅塞影響而發生回應延遲，造成使用者日後再度使用該網站之意願降低，亦使得網站所被賦予傳遞之交通管理策略無法有效執行。面對此現象，網站規劃設計者往往以主觀經驗採取試誤法來從事各種改善策略，由於缺乏客觀依據，不但造成時間金錢浪費，亦由於系統無法穩定提供服務使得可靠度降低。
　　本研究旨在發展網站服務效能評估模式，並以國道高速公路局全區即時路況系統為例來說明該模式構建與分析過程，評估預先擷取改善技術中不同擷取方案對於網站服務效能之改善效果。首先蒐集該系統網站伺服器點擊流資料，依據造訪特性區分為五個時段，並推估各時段既有網路傳輸來回延遲時間。接著應用連續時間馬可夫鏈構建各時段對於該網站之網頁瀏覽行為模式，並以該模式為基礎，透過參數調整來發展各時段預先擷取技術網站效能改善評估模式。由實例應用分析結果發現，網站造訪率呈現尖離峰狀態，使用者網頁瀏覽數亦隨著時段不同而有差異。任何時段預先擷取技術施行於較低來回傳輸延遲時間增量環境時，以平均總對話時間衡量之服務效能改善比例較低或不明顯；但隨著網路環境壅塞愈來愈嚴重時，則可獲得較大之改善比例。此外，改善比例變化率會隨著來回傳輸延遲時間增量愈大而趨於平緩，不同預先擷取方案改善比例變化與最受歡迎頁面狀態轉移機率大小有關，預先擷取單一頁面時，其轉移機率達0.4以上時將可獲致較高之改善比例。

　　With the enormous growth of the World Wide Web (WWW), developing traffic information website which provides travelers with pre-trip travel information (PTTI) has become primary work in the context of advanced traveler information systems (ATIS). However, the responses of web pages are usually delayed resulting from networking congestions under web's client/server architecture. Obviously, the delayed responses will decrease the reuse intention and the effectiveness of traffic management strategies deployed by the web-based ATIS. To cope with the shortcoming, web planners/designers subjectively propose possible methods in order to reduce latency; but this try and error effort is usually time-consuming and costing, let alone unstable system also leading to low reliable web service.
　　This study aims to develop a website service performance evaluation model and to conduct an empirical study of the freeway real-time traffic information website, constructed by Taiwan Area National Freeway Bureau, to analyze the improvement performance under various prefetching alternatives. Firstly, the clickstream data collected from the web server is divided into five time periods according to visiting characteristics; the latency in round trip times (RTTs) existed in every time period is also estimated. Secondly, the web-browsing behavior models for individual time periods are constructed by continuous time Markov chains (CTMCs). Based on these web-browsing behavior models, the website service performance evaluation models for every time periods are developed by parameter adjustments. The empirical results indicate that the visiting rate has peak and non-peak hour pattern, and the numbers of browsing pages for every user are different in each time period. While the prefetching technique is deployed under the networking environment with lower RTTs increments, the improved rate in expected user session time (EUST) is low or insignificant. As the RTTs increment increases, the improved rate in EUST will be more significant, and leveled off eventually. Also, the variation of improved rate under varied prefetching alternatives is related to the transition probability of popular web page. When prefetching single web page, for example, the improved rate will be higher as the transition probability is greater than 0.4.

一、中文部分
1.交通部運輸研究所、財團法人中華顧問工程司合作辦理（民國94年），都會區幹道即時交通資訊系統建置，台北市。
2.交通部運輸研究所（民國95年），交通服務e網通網站，網址http://e-iot.iot.gov.tw/。
3.交通部統計處（民國94年），臺灣地區民眾使用網際網路狀況調查摘要分析，台北市。
4.徐武孝、章臨凡、郭益銘、董明智、蘇聖楠（民國91年），網路路由理論與實務（初版），台北市：全華科技圖書股份有限公司。
5.財團法人台灣網路資訊中心（民國95年），九十五年度台灣寬頻網路使用調查報告，台北市。
6.陳俊宏（民國90年），WebMaster!網站規劃建置管理，台北市：旗標出版股份有限公司。
7.粘添壽（民國92年），電腦網路與連結技術（初版），台北市：旗標出版股份有限公司。
8.國道高速公路局（民國95年），國道高速公路交通資訊系統網站，網址http://1968.nfreeway.gov.tw/。
9.張文忠（民國88年），隨機過程：原理及題解（初版），台北市：中央圖書出版社。
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