道路鋪面係利用PCI 與 IRI 檢測結果,作為日常維護與資產管理的重 要依據,而PCI及IRI通常於白天檢測,對於駕駛人於夜間行駛時的標線可 視性反應有限,標線辨識的清晰程度將影響駕駛人及行人的安全性;物體之 所以能被人眼看見,是因其表面的反射光進入人眼中,進入人眼的光越多則 視覺感知越強烈,當相鄰物體的輝度差異越大,人眼越容易辨識,代表可視 性越高,反之則會被視為同一物體,使可視性下降。 本研究探討在路燈照射下,以道路鋪面及標線的輝度相互關係為核心, 探討鋪面材質、反射率與路燈照明之間的影響,並結合路燈色溫變化,分析 在不同路段及鋪面條件下,以輝度與照度的量測結果計算鋪面及標線的對 比度與可視性,藉此確保標線在夜晚能滿足駕駛人的視覺辨識需求,提升駕 駛安全性。 本研究採用影像式輝度計進行測量,並針對前述標的進行數據收集,紀 錄不同條件下的輝度與照度參數,並分析鋪面及標線間的對比度及可視性 之變化。道路鋪面品質變化須長期監測與分析,若可透過路燈照明之輝度及 標線可視性變化,建立長期的數據庫,同時搭配PCI及IRI檢測結果,做為 道路鋪面後續維護與優化之依據,達成鋪面品質維護及用路人、行人的安全 性提升之雙重目標。;Road pavement inspections utilize PCI and IRI results as crucial data for routine maintenance and asset management. However, PCI and IRI are typically conducted during the day, limiting their effectiveness in assessing the visibility of road markings at night. The clarity of marking identification directly impacts driver and pedestrian safety. Objects are visible to the human eye because reflected light enters the eye; the more light entering, the stronger the visual perception. Greater differences in luminance between adjacent objects make them easier to distinguish, indicating higher visibility. Conversely, smaller differences may lead to the same object being perceived as a single entity, reducing visibility. This study explores the relationship between the luminance of road pavement and road markings under streetlight illumination. It investigates the influence of pavement material, reflectivity, and streetlight illumination, and incorporates streetlight color temperature variations. The study analyzes the contrast and visibility of pavement and road markings under different road sections and pavement conditions, using luminance and illuminance measurements to ensure that road markings meet drivers′ visual recognition needs at night, thereby improving driving safety. This study used an image-based luminance meter for measurement and collected data on the aforementioned targets, recording luminance and illuminance parameters under different conditions, and analyzing changes in contrast and visibility between pavement and road markings. Changes in road pavement quality require long-term monitoring and analysis. If a long-term database can be established by analyzing changes in the luminance of streetlights and the visibility of road markings, and combined with PCI and IRI test results, it can serve as a basis for subsequent maintenance and optimization of road pavement, achieving the dual goals of maintaining pavement quality and improving the safety of road users and pedestrians.