應用改良式平整度指標AARI於預測模式之建立

國內各縣市政府、道路主管機關對於道路平整度重視程度日漸升高，目前各處多半使用三米直規或國際糙度指標(IRI)作為整修、驗收之標準，然而因各地檢測量能不一且有限，檢測範圍無法覆蓋所管理之路網，更無法建立管理系統以觀察長期平整度劣化趨勢。近年來隨智慧型手機之發展，將其內建感知器應用於道路平整度檢測之研究有愈多之趨勢，收集車輛行駛期間之反應加速度配合演算法可有效反映道路平整度情形。本研究欲使用已開發完成之檢測設備–簡易型平整儀觀察我國最高層級之道路–國道高速公路之道路平整度分布情形，並探討影響鋪面劣化之可能變因，最後建立改良式平整度指標AARI之預測模式，期能供道路主管機關管理維護上之參考。本研究藉由高速公路電子收費系統得分車種之交通量，配合國道一號汐止地磅站過磅紀錄及國道一號之整修紀錄，得探討三者與平整度之關聯性。由電子收費系統可觀察得於圓山匝道有明顯小客車、小貨車進出國道之情形，而重型車輛如大客車、大貨車及聯結車則於圓山以南之路段為多；過磅紀錄可了解雙向車輛之真實載重，南下路段之半聯結車型載重明顯較北上方向為重，此情形無疑會加劇鋪面劣化之速度；整修紀錄顯示南下路段距上次整修時間普遍近於北上方向，各路段雙向整修時間差異皆於7個月以上。最後結合各交流道區間之交通量與平均卡車因子之乘積總和，可得經整修後累積標準軸重當量數(ESAL)與AARI之關係，兩者相關係數可達0.84；透過此關係即可知不同交通流量之路段平整度劣化之程度差異。

關鍵字

道路平整度；國際糙度指標；加速度規；交通量；車輛載重；績效預測

並列摘要

City governments and local roadway agencies in Taiwan have grown more aware of the importance of road roughness monitoring over past few years, and IRI, which stands for International Roughness Index, is commonly adopted as references for maintenance scheduling or standards for acceptance check of newly-constructed pavement. In practice, profilographs are still local agencies’ preferred choices over inertial profilers, which may result from economic concerns. In light of the situation, this research dedicates to introducing an efficient, standardized road roughness measuring method and establishes performance prediction model based on the index and other parameters. Road roughness equipment adopted in the research is developed under supervision of Professor Chia-Pei Chou, National Taiwan University, and Adjusted Acceleration Roughness Index is used to reflect the level of road roughness. Due to AARI’s high correlation to IRI, the index can be taken advantage of to interpret road unevenness, with its correlation coefficient to IRI being 0.88. Furthermore, traffic volume extracted from Freeway Electronic Toll Collection database, weighing data of freeway weighbridges and maintenance records are organized and analyzed. The relationship of accumulative ESAL (Equivalent Single Axle Load) after renovation and AARI is then established, with R2 reaching above 0.84. The result has shown that AARI is more cost-effective comparing to IRI, and it also demonstrates great potential of crowdsourcing, with capability of monitoring road roughness at network level.

並列關鍵字

Road Roughness ； International Roughness Index ； Accelerometer ； Traffic Volume ； Axle Load ； Performance Prediction

參考文獻

1. 蕭冠箴，「車輛反應式平坦儀之平坦度指標演算法」，碩士論文，2018

Google Scholar

2. Chou, C. P., Siao, G. J., Chen, A. C., Lee, C. C. (2020). Algorithm for Estimating International Roughness Index by Response-Based Measuring Device. Journal of Transportation Engineering, Part B: Pavements, 146(3), 04020031.