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High accuracy monitoring system to estimate forest road surface degradation on horizontal curves

机译:高精度监测系统,可估算水平曲线上的森林路面退化

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摘要

Well-maintained pavements reduce occurring severe accidents on horizontal curves. For this reason, the monitoring and evaluation of pavement conditions are important. This study evaluates pavement conditions considering volumetric degradation or displacement on 11 horizontal curves in forest roads, depending on meteorological conditions, traffic effects, and curve parameters. Within this context, pavement displacement (degradation) was investigated and measured with terrestrial laser scanning (TLS) for a year on a monthly basis. In this study, two multiple regression models were developed to estimate the degradation values of a forest road. According to model 1, which was developed to estimate the loss volume values, the adjusted R _(2)was 0.658. For model 2, which was developed to estimate the gain volume values, the adjusted R _(2)was 0.490. Validations of models were evaluated with different statistical tests. In conclusion, volumetric degradation can be calculated with TLS-based data. Forest road designers should determine horizontal curve characteristics, taking into consideration the pavement degradation and traffic safety.
机译:保养良好的人行道可减少在水平弯道上发生的严重事故。因此,路面状况的监视和评估很重要。这项研究根据气象条件,交通影响和弯道参数,在考虑11条林道水平弯道的体积退化或位移的情况下评估路面状况。在这种情况下,每月对地面位移(退化)进行调查并使用地面激光扫描(TLS)进行一年的测量。在这项研究中,开发了两个多元回归模型来估计林道的退化值。根据模型1(已开发以估计损失量值),调整后的R _(2)为0.658。对于模型2(开发用于估计增益量值),调整后的R _(2)为0.490。使用不同的统计检验评估模型的有效性。总之,可以使用基于TLS的数据来计算体积退化。林道设计者应考虑人行道退化和交通安全来确定水平曲线的特征。

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