對於瀝青混凝土而言，溫度的高低會直接影響到各種性質，因此道路設計時環境溫度會改變瀝青鋪面的使用壽命，所以在預測鋪面績效的所需資料中，氣候資料不可或缺，輸入的氣候資料會影響到預測結果，然而氣象站的數量龐大，該如何選擇氣象站的資料成了一個重要的課題，研究內容以國道沿線為主，因此採用國道沿線之氣象站資料以及鄰近的含有日照率資料之氣象站，本研究將分成三個階段分析，首先是原始資料的分析，依照溫度判斷是否能初步整合，第二步是輸入鋪面內溫度與濕度預測模型後，對模型輸出的鋪面內溫度及含水量分析，第三階段在加入了交通載重資料、鋪面結構、材料資料後對輸入力學-經驗模型所輸出的鋪面績效進行分析，輸出的績效包含車轍、裂縫、國際糙度指標，依照三個階段的變異數分析結果判斷是否可以進行氣象站的整合，整合的範圍分為高速公路局工務段及各縣市氣象站，透過以上分析統整出臺灣各區域在進行鋪面績效預測時應採用之氣象站資料。

For asphalt concrete, temperature directly influences various properties. Consequently, environmental temperature during road design affects the lifespan of asphalt pavements. Therefore, climate data is essential for predicting pavement performance, as the inputted climate data will impact the prediction results. However, with a vast number of weather stations, selecting the appropriate weather station data becomes a critical issue. This study focuses on national highways, utilizing weather station data along these routes and nearby stations with solar radiation data. The research will be conducted in three phases. First, the raw data will be analyzed to determine if preliminary integration is possible based on temperature. The second step involves inputting the data into a pavement temperature and humidity prediction model, followed by an analysis of the model's output for pavement temperature and moisture content. In the third phase, after incorporating traffic load data, pavement structure, and material data, an analysis of the output from the mechanical-empirical model on pavement performance will be conducted. The performance outputs include rutting, cracking, and the International Roughness Index. The feasibility of integrating weather stations will be determined based on the variance analysis results from these three phases. The integration scope will cover the Highway Bureau's maintenance sections and weather stations in each county and city. Through the above analyses, the appropriate weather station data for predicting pavement performance in different regions of Taiwan will be identified.

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