摘要
以西部某省(区)高速公路路网多年检测数据为基础,对4种因素影响下PCI和RQI的变化趋势进行分析,结合变异系数(%)均值的大小选出影响PCI和RQI衰变的主要因素。选择二次多项式、幂指数曲线、负指数曲线、修正S曲线等4种曲线模型,对沥青路面损坏状况指数PCI和路面行驶质量指数RQI的衰变规律进行研究,最后通过路网实际检测数据对模型进行验证。结果表明:①交通量和区域对PCI衰变影响较大,交通量和基层厚度对RQI衰变影响较大;②PCI衰变趋势符合幂指数曲线,RQI衰变趋势符合修正S曲线;③经全路网检测数据验证,PCI、RQI预测的平均差值分别为-0.60和-0.74,预测误差分别为-0.30%和-0.78%,精度满足小于1%的规范要求。
Based on the data of highway network in a western province(district)for many years,the change trends of PCI and RQI under the influence of four factors are analyzed,and the main factors affecting PCI and RQI decay are selected based on the size of the mean coefficient of variation(%).Four curve models,namely quadratic polynomial,power exponential curve,negative exponential curve,and S curve correction,are chosen to study the decay laws of PCI and RQI.Finally,the model is verified by the actual test data of the road network.The results show that:a)The factors that have a greater influence on PCI decay are traffic volume and region,and the factors that have a greater influence on RQI decay are traffic volume and base thickness;b)The trend of PCI decay conforms to the power exponential curve,and the trend of RQI decay conforms to the modified S curve;c)According to the entire road network test data,the average difference between PCI and RQI predictions is-0.60 and-0.74,and the forecast errors are-0.30%and-0.78%,respectively and the accuracy met the requirements of less than 1%.
作者
荣建国
王浩仰
RONG Jianguo;WANG Haoyang(Roadmaint Co.,Ltd.,National Engineering Research Center of Road Maintenance Technologies,Beijing 100095 China)
出处
《交通科技与经济》
2020年第1期59-64,共6页
Technology & Economy in Areas of Communications
关键词
道路工程
西部地区
高速公路
衰变模型
性能预测
沥青路面
road engineering
western region
expressway
decay model
performance prediction
asphalt pavement