Precise International Roughness Index Calculation

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F21%3A00351548" target="_blank" >RIV/68407700:21110/21:00351548 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/67985556:_____/22:00545847

Výsledek na webu

<a href="https://doi.org/10.1007/s42947-021-00097-z" target="_blank" >https://doi.org/10.1007/s42947-021-00097-z</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s42947-021-00097-z" target="_blank" >10.1007/s42947-021-00097-z</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Precise International Roughness Index Calculation

Popis výsledku v původním jazyce

Roadway infrastructure management focuses on quality of the road surfaces which influences the pavement longevity and riding quality. The road surface quality can be expressed in many ways from which the International Roughness Index has been recognized widely around the developed countries. This paper summarizes the derivation of International Roughness calculation and proposes a new numerical method for its computation. Compared to original Sayers’s method, it does not use iterative approximation, which makes it much faster for non-uniformly sampled road data. This is useful, for example, for profiles generated from LIDAR point clouds. The method can be used for arbitrary polynomial model of segments between elevation samples. Except the Fortran code listed in the original paper, the code for the original algorithm has not been publicly available and most researchers relied on the ProVAL software with several limitations, including uniform sampling, the lack of automation, and little control over the influence of resampling methods and the initialization of the quarter-car simulation procedure. We provide Matlab codes for both the original method and the algorithm newly proposed in this paper.

Název v anglickém jazyce

Precise International Roughness Index Calculation

Popis výsledku anglicky

Roadway infrastructure management focuses on quality of the road surfaces which influences the pavement longevity and riding quality. The road surface quality can be expressed in many ways from which the International Roughness Index has been recognized widely around the developed countries. This paper summarizes the derivation of International Roughness calculation and proposes a new numerical method for its computation. Compared to original Sayers’s method, it does not use iterative approximation, which makes it much faster for non-uniformly sampled road data. This is useful, for example, for profiles generated from LIDAR point clouds. The method can be used for arbitrary polynomial model of segments between elevation samples. Except the Fortran code listed in the original paper, the code for the original algorithm has not been publicly available and most researchers relied on the ProVAL software with several limitations, including uniform sampling, the lack of automation, and little control over the influence of resampling methods and the initialization of the quarter-car simulation procedure. We provide Matlab codes for both the original method and the algorithm newly proposed in this paper.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

20104 - Transport engineering

Projekt

<a href="/cs/project/FV20356" target="_blank" >FV20356: Implementace principů Průmyslu 4.0. při výrobě a opravách konstrukčních vrstev dopravních komunikací</a><br>

Návaznosti

N - Vyzkumna aktivita podporovana z neverejnych zdroju

Rok uplatnění

2021

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

International Journal of Pavement Research and Technology

ISSN

1996-6814

e-ISSN

—

Svazek periodika

2021

Číslo periodika v rámci svazku

September

Stát vydavatele periodika

CN - Čínská lidová republika

Počet stran výsledku

7

Strana od-do

—

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-85115346251