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Detection of critical road roughness sections by trend analysis and investigation of driver speed interaction
Frontiers of Structural and Civil Engineering ( IF 2.9 ) Pub Date : 2022-07-07 , DOI: 10.1007/s11709-022-0814-4
Meltem Saplioglu , Ayse Unal , Melek Bocek

Pavement roughness (IRI—International Roughness Index values) influence the stability of traffic movements both on intercity roads and urban roads. This study is to determine the exact locations of critical pavement roughness values that affect traffic motion stability and comfort in city centre highway arteries. Roughness data with 10 m intervals were collected on a 3140 m divided road containing three consecutive signalized intersections in the city centre arterial. These data were analysed using the distance-dependent Mann-Kendall trend analysis method and checkerboard model. The sections where roughness is important were determined at a 95% confidence interval. The results will show where future pavement improvements should be prioritized for municipalities and road maintenance engineers and will form a basis for the urban road management system.



中文翻译:

通过趋势分析和驾驶员速度交互调查检测关键道路不平度路段

路面粗糙度(IRI - 国际粗糙度指数值)影响城际道路和城市道路上交通运动的稳定性。本研究旨在确定影响市中心高速公路主干道交通运动稳定性和舒适度的关键路面粗糙度值的确切位置。以 10 m 间隔收集的粗糙度数据是在 3140 m 的分割道路上收集的,该道路包含市中心主干道中三个连续的信号交叉口。使用距离相关的 Mann-Kendall 趋势分析方法和棋盘模型分析这些数据。以 95% 的置信区间确定粗糙度很重要的部分。

更新日期:2022-07-08
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