Detection of critical road roughness sections by trend analysis and investigation of driver speed interaction

Meltem SAPLIOGLU, Ayse UNAL, Melek BOCEK

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Front. Struct. Civ. Eng. ›› 2022, Vol. 16 ›› Issue (4) : 515-532. DOI: 10.1007/s11709-022-0814-4
RESEARCH ARTICLE
RESEARCH ARTICLE

Detection of critical road roughness sections by trend analysis and investigation of driver speed interaction

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Abstract

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.

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Keywords

trend analysis / checkerboard model / IRI / driver speed

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Meltem SAPLIOGLU, Ayse UNAL, Melek BOCEK. Detection of critical road roughness sections by trend analysis and investigation of driver speed interaction. Front. Struct. Civ. Eng., 2022, 16(4): 515‒532 https://doi.org/10.1007/s11709-022-0814-4

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