Relevant bibliographies by topics / Pavement condition index

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Academic literature on the topic 'Pavement condition index'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Pavement condition index"

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Zafar, Muhammad Saleem, Syed Naveed Raza Shah, Muhammad Jaffar Memon, Touqeer Ali Rind, and Muhammad Afzal Soomro. "Condition Survey for Evaluation of Pavement Condition Index of a Highway." Civil Engineering Journal 5, no. 6 (June 23, 2019): 1367–83. http://dx.doi.org/10.28991/cej-2019-03091338.

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Pavements are major means of highway infrastructure. Maintenance and rehabilitation of these pavements for the required serviceability is a routine problem faced by highway engineers and organizations. Improvement in road management system results in reduction of time and cost, the pavement condition survey plays a big role in the pavement management. The initial phase in setting up a pavement management system (PMS) is road network identification. A vital element of a PMS is the capacity to assess the present condition of a pavement network and anticipation of future condition. The pavement condition index (PCI) is a numerical index generally utilized for the assessment of the operational condition & structural reliability of pavements. Estimation of the PCI is dependent on the results of a visual inspection in which the type, severity, and quantity of distresses are distinguished. In this research, a pavement distress condition rating strategy was utilized to accomplish the goals of this study. The main targets of this research were to categorize the common types of distress that exist on “Lakhi Larkana National Highway (N-105)”, and to estimate the pavement condition index. Using these data, Average PCI for the highway section was calculated. PCI to assess the pavement performance, 10 out of 19 defects were recognized in the pavement, as stated by the PCI method. Results indicated that the common pavement distress types were depressions, polished aggregate, rutting, potholes, block cracking, and alligator cracking.
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Abed, Muataz Safaa. "Development of Regression Models for Predicting Pavement Condition Index from the International Roughness Index." Journal of Engineering 26, no. 12 (December 1, 2020): 81–94. http://dx.doi.org/10.31026/j.eng.2020.12.05.

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Flexible pavements are considered an essential element of transportation infrastructure. So, evaluations of flexible pavement performance are necessary for the proper management of transportation infrastructure. Pavement condition index (PCI) and international roughness index (IRI) are common indices applied to evaluate pavement surface conditions. However, the pavement condition surveys to calculate PCI are costly and time-consuming as compared to IRI. This article focuses on developing regression models that predict PCI from IRI. Eighty-three flexible pavement sections, with section length equal to 250 m, were selected in Al-Diwaniyah, Iraq, to develop PCI-IRI relationships. In terms of the quantity and severity of each observed distress, the pavement condition surveys were conducted by actually walking through all the sections. Using these data, PCI was calculated utilizing Micro PAVER software. Dynatest Road Surface Profiler (RSP) was used to collect IRI data of all the sections. Using the SPSS software, linear and nonlinear regressions have been used for developing two models between PCI and IRI based on the collected data. These models have the coefficients of determination (R2) equal to 0.715 and 0.722 for linear and quadratic models. Finally, the results indicate the linear and quadratic models are acceptable to predict PCI from IRI directly.
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Wesolowski, Mariusz, and Pawel Iwanowski. "Evaluation of Natural Airfield Pavements Condition Based on the Airfield Pavement Condition Index (APCI)." Applied Sciences 11, no. 13 (July 1, 2021): 6139. http://dx.doi.org/10.3390/app11136139.

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Natural pavements are an important element of flights. Among other things, they allow the plane to be safely slowed down after it has exited the runway. For this reason, load bearing capacity of natural airfield pavements and strength of turf layer at a specified level are required. Currently used testing methods, such as CBR (Californian Bearing Ratio) tests or turf probe test, separately do not give a full image of pavement technical condition. The authors presented the methodology for assessing the technical condition of natural airfield surfaces based on the APCI (Airfield Pavement Condition Index). The index is based at the same time on the load bearing capacity of the surface layer up to 0.85 m and turf layer strength. The mathematical model and the classification of airfield pavements in terms of the APCI indicator are presented. The article also presents an example of using the APCI method to assess shoulders and end safety areas of the runway at one of the operating airport facilities.
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Zhang, Zhanmin, German Claros, Lance Manuel, and Ivan Damnjanovic. "Development of Structural Condition Index to Support Pavement Maintenance and Rehabilitation Decisions at Network Level." Transportation Research Record: Journal of the Transportation Research Board 1827, no. 1 (January 2003): 10–17. http://dx.doi.org/10.3141/1827-02.

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Every year, state highway agencies apply large amounts of seal coats and thin overlays to pavements to improve the surface condition, but these measures do not successfully address the problem. Overall pavement condition continues to deteriorate because of the structural deformation of pavement layers and the subgrade. To make effective decisions about the type of treatment needed, one should take into consideration the structural condition of a pavement. Several different structural estimators can be calculated by using falling weight deflectometer data and information stored in the Pavement Management Information System (PMIS) at the Texas Department of Transportation. The analysis considers pavement modulus and structural number as the structural estimators of a pavement. The evaluation method is based on the sensitivity of the structural estimators to deterioration descriptors. The deterioration per equivalent single-axle load of all major scores stored in the Texas PMIS is proposed as the primary indicator of pavement deterioration. In addition, the use of the structural condition index is recommended as a screening tool to discriminate between pavements that need structural reinforcement and those that do not. This index is calibrated for use in maintenance and rehabilitation analysis at the network level.
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Zoccali, Pablo, Giuseppe Loprencipe, and Andrea Galoni. "Sampietrini Stone Pavements: Distress Analysis Using Pavement Condition Index Method." Applied Sciences 7, no. 7 (June 29, 2017): 669. http://dx.doi.org/10.3390/app7070669.

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Wesołowski, Mariusz, and Paweł Iwanowski. "Evaluation of Asphalt Concrete Airport Pavement Conditions Based on the Airfield Pavement Condition Index (APCI) in Scope of Flight Safety." Aerospace 7, no. 6 (June 15, 2020): 78. http://dx.doi.org/10.3390/aerospace7060078.

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Airoport infrastructure development requires care to maintain it in proper technical condition. Due to this, airport pavements should be constantly monitored, and, above all, correctly managed. High-level airport pavement management requires access to reliable information about their current technical condition as well as proper forecasting of this condition in the future. Obtaining good quality information about the technical condition of airport pavement should be based on a proven methodology, taking into account the introduced quality management system. The authors propose a method of technical pavement condition assessment based on the Airfield Pavement Condition Index (APCI), taking into account not only the results of the surface deterioration inventory, but also repair overviews, load bearing capacity, evenness and roughness of the surface, as well as the surface tensile bond strength. The method was developed during long-term work financed by the Ministry of Science and Higher Education. At the beginning of the article, the authors focus on reviewing the currently available methods of assessing the technical condition of the pavement. Then they briefly present the most popular surface assessment method based on the PCI indicator. Afterwards, a proprietary asphalt pavement assessment method based on the APCI indicator is proposed and an example of how to use the method is presented. Finally, they discuss the results and summarize the work done, and present further directions of work.
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Bryce, James, Richard Boadi, and Jonathan Groeger. "Relating Pavement Condition Index and Present Serviceability Rating for Asphalt-Surfaced Pavements." Transportation Research Record: Journal of the Transportation Research Board 2673, no. 3 (February 27, 2019): 308–12. http://dx.doi.org/10.1177/0361198119833671.

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In response to the two latest transportation funding authorization bills, the Moving Ahead for Progress in the 21st Century Act and the Fixing America’s Surface Transportation Act, rules that require the reporting of specific pavement condition measures have been developed and encoded into federal regulation. Pavement performance rules published to the federal register require the reporting of the International Roughness Index (IRI), percent cracking, rutting (for asphalt-surfaced pavements) and faulting (for jointed concrete pavements). Allowing that the measurement of the IRI on pavements with a speed limit below 40 mph is not expected to provide a reliable estimation of ride quality, the rules permit the reporting of the present serviceability rating (PSR) on these routes. However, many agencies do not measure the PSR or collect the slope variance data required to estimate the PSR. In light of not having the data required to directly estimate the PSR, this paper presents a model to estimate the PSR using data collected during a Pavement Condition Index (PCI) survey. Furthermore, this paper explores the reasons why pavements can have a good PCI and poor PSR and vice versa. The model presented in this paper provides a reasonable estimate of the PSR, though it is noted that agencies who wish to report PSR should conduct an updated assessment of rider satisfaction to develop a stronger correlation of PSR and PCI.
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Jung, Haekook, Yongjae Kim, Seungwon Kim, Cheolwoo Park, and Jeong-Hee Nam. "Life Extension of Aged Jointed Plain Concrete Pavement through Remodeling Index–Based Analysis." Materials 13, no. 13 (July 4, 2020): 2982. http://dx.doi.org/10.3390/ma13132982.

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As jointed plain concrete pavements (JPCP) age in South Korea, the cost of pavement maintenance is increasing annually. To extend the life of jointed concrete pavements through preventive maintenance, this study used 2017 pavement management system data to analyze the effects of traffic volume, alkali–silica reaction (ASR) grade, age, smoothness, and damaged area on the remodeling index (RMI—a measure of expressway pavement condition). In addition, this study evaluates the final RMI as well as the corresponding pavement condition and change in RMI value after conducting preventive maintenance in lieu of resurfacing or overlaying. The results demonstrated that the effect of ASR grade increased as the RMI forecast year increased and that change in surface distress (△SD) increased with age (most intensively when the pavement was 15–20 years of age). Moreover, change in international roughness index (△IRI) increased with age and traffic volume (similarly within 15–20 years of pavement age). Hence, preventive maintenance is a must for sections with high traffic volume and age even if the RMI is low. Finally, performing repairs through preventive maintenance decreases the number of expressway sections requiring resurfacing and overlaying, thus extending the life of the concrete pavement.
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Chou, Chia-Pei, and Chien-Yen Chang. "Algorithm for Determining Weight Factors of Pavement Distress Index." Transportation Research Record: Journal of the Transportation Research Board 1592, no. 1 (January 1997): 63–69. http://dx.doi.org/10.3141/1592-08.

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Distress is one of the primary measurements of pavement condition. Thus, in a pavement evaluation program, distress type, severity, and extent should be properly identified. A pavement distress index (PDI) may be calculated by mathematically combining the effects of distresses on pavement conditions. Before the calculation of PDI, each distress attribute must be assigned a weight factor and a severity factor. An analytical algorithm that converts the subjective rating values of distress attributes to a rational weighting scale that provides quantified measurements of the effects of each distress on pavement damage and riding quality is presented. A case study for applying this procedure to the pavements of roadway samples from the Highway Bureau and the National Freeway Bureau in Taiwan also is presented. Through the analysis procedure, it was found that pothole has the largest weight factor (100) and that longitudinal crack has the lowest (49). The severity factors vary from 0.24 to 1.00, depending on the distress type and severity level.
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Nurjanah Ahmad, Siti, Tri Harianto, Lawalenna Samang, and Muralia Hustim. "Level vulnerability damage of pavement using Pavement Condition Index method." MATEC Web of Conferences 181 (2018): 11003. http://dx.doi.org/10.1051/matecconf/201818111003.

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This study aims to assess the vulnerability of road pavement damage using the Pavement Condition Index (PCI) method, including the direction of handling pavement road damage. Assessment of the level of road surface damage is based on the type of damage, the degree of damage, and amount of damage. Field observations and surveys were conducted on several Collector roads in Kendari. The mean PCI score as an indicator of damage to the Mokodompit road segment shows moderate damage conditions with a mean the value PCIaverage = 53 and surface damage area = 34.419% and the countermeasures according to the Bina Marga Standard recommend patching and adding pavement layers. Assessment of vulnerabilities Manunggal road damage indicates moderate damage to the value PCIaverage = 49 With the extent of surface damage = 34,419% and the response according to Standard by filling a crack with a mixture of liquid asphalt and sand.
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Dissertations / Theses on the topic "Pavement condition index"

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Floro, Christopher V. O. "Development of predictive equations based on Pavement Condition Index data." Thesis, Seattle, Washington : University of Washington, 1992. http://handle.dtic.mil/100.2/ADA250625.

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Thesis (M.S. in Civil Engineering)--University of Washington, 1992.
Missing pages A3, A7, A8, A10-A26, A28-A45. "March 1992." Description based on title screen as viewed on April 7, 2009. Includes bibliographical references. Also available in print.
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Mohagheghi, Ali. "Effect of Pavement Condition on Traffic Crash Frequency and Severity in Virginia." Thesis, Virginia Tech, 2020. http://hdl.handle.net/10919/100129.

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Previous studies show that pavement condition properties are significant factors to enhance road safety and riding experience, and pavements with low quality might have inadequate performance in terms of safety and riding experience. Pavement Management System (PMS) databases include pavement properties for each segment of the road collected by the agencies. Understanding the impact of road characteristics on crash frequency is a key step to prevent crashes. Whereas other studies analyzed the effect of different characteristics such as International Roughness Index (IRI), Rutting Depth (RD), Annual Average Daily Traffic (AADT), this thesis analyzed the effect of Critical Condition Index (CCI) on crash frequency, in addition to the other factors identified in previous studies. Other characteristics such as Percentage of Heavy Vehicles, Road Surface Condition, Road Lighting Condition, and Driver Conditions are taken into the consideration. The scope of the study is the interstate highway system in Fairfax County, Virginia. Negative Binomial, Least Square and Nominal Logistic Models were developed, showing that the CCI value is a significant factor to predict the number of crashes, and that it has different effect for different values of AADT. The result of this study is a substantial step towards developing an integrated transportation control and infrastructure management framework.
Master of Science
Many factors cause crashes in the roads. Although there is a common sense that road characteristics such as asphalt quality are important in terms of road safety, there are few studies that scientifically prove that statement. In addition, asphalt maintenance decisions making process is mainly based on cost benefit optimization, and traffic safety is not considered at the process. The purpose of this study is to analyze crashes and road characteristics related to each crash to understand the effect of those characteristics on crash frequency, and eventually, to build a model to predict the number of crashes at each part of the road. The model can help transportation agencies to have a better understanding in terms of safety consequences of their infrastructure management plans. The scope of this study is the highway interstate system in Northern Virginia. Results suggest that pavement condition has a significant impact on crash frequency.
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Ng, Vincent Laphang. "A Study of Deterioration in Ride Quality on Ohio's Highways." University of Toledo / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1430322756.

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Verhoeven, Jack George. "Framework for Rating Roadway Assets at the Corridor Level." Thesis, Virginia Tech, 2010. http://hdl.handle.net/10919/34007.

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The United States relies on its vast network of roadways to transport people, goods, and services across the nation. These roads need to be maintained to an acceptable level in order to effectively provide a safe, reliable, and efficient road. The use of infrastructure management systems (IMS) has aided in keeping an inventory of existing roads, identifying assets in need of repair, and assisting in allocating funds for maintenance, repair, and rehabilitation.

The current practice in the United States has shown a lack of consistency in the way assets are rated in each state. Individual states have employed their own methodology for rating each asset type. This makes comparison of assets between states difficult. Several methods in use have provided a way to effectively rate an asset, but no method exists that can be used to compare ratings in different states.

To successfully maintain the network of roads across the United States, a method to assess assets between states is necessary. Consistency between states in their data collection, rating calculation, and rating reporting are all necessary to identify poor sections of roadway. Another useful reporting item will be a condition rating of all the assets contained within a corridor. A corridor is a series of travel routes which move people between two major points of interest.

By analyzing corridor level condition ratings, it will be possible to examine the overall condition of all the corridor sections across the nation and identify sections that need assistance in raising their condition.

The objective of this thesis was to develop a framework for rating assets at the corridor level. The framework was developed to be applied to any asset contained within a roadway and allow the combination of individual asset ratings into a single corridor rating. The final methodology not only reports the overall corridor condition, but the functional and structural health of each individual asset, the rating of all of an asset type within a corridor, and performance indicators for individual items on a single asset.

The methodology was tested using data provided by the Virginia Department of Transportation (VDOT) to test if the methodology would produce ratings similar to those in use. For the application methods were developed for two major roadway assets; pavements and bridges.

The product of this thesis is a general framework which can be applied to roadway corridors to assess the overall condition of all the assets contained within the corridorâ s boundaries. It can be used in conjunction with an IMS to help improve and maintain the overall condition of the roads, which are critical to the United States. Without unification of condition rating methods into a single method it will never be possible to compare assets from every state in the nation.
Master of Science

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Felix, Daniela Bonina Clemente. "Avaliação da metodologia do USACE aplicada à análise das condições de rolamento dos pavimentos de concreto armado." Universidade de São Paulo, 2008. http://www.teses.usp.br/teses/disponiveis/3/3138/tde-09022009-143228/.

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Este trabalho teve como objetivo pesquisar a tipologia e as possíveis causas da ocorrência das patologias em pavimentos de concreto armado, bem como verificar a aplicabilidade e analisar criticamente os métodos de avaliação do estado funcional destes pavimentos. São apresentados os tipos e os graus de severidade das patologias descritas no método do United States Corps of Engineers (USACE), bem como os métodos de avaliação da superfície dos pavimentos de concreto, dentre eles, o índice internacional de irregularidade (International Roughness Index - IRI), o quociente de irregularidade (QI), o valor da serventia atual (VSA) e a avaliação subjetiva e objetiva do índice de condição do pavimento (ICP). A aplicação prática se concentrou nos estudos de caso de quatro pavimentos de concreto armado, sendo um pavimento urbano e três pavimentos industriais, realizando a avaliação detalhada das patologias existentes nos pavimentos em serviço, com posterior cálculo do valor do ICP. Foi avaliada também a irregularidade longitudinal (IRI), com um perfilômetro inercial, no estudo de caso do pavimento urbano, com o intuito de verificar se este método apresenta correlação com o critério do ICP para o caso dos pavimentos de concreto armado como indicador de desempenho. Os levantamentos permitiram verificar valores intermediários de ICP para os pavimentos analisados e que tal situação é decorrente principalmente de falhas construtivas. Os defeitos catalogados no manual do ICP são suficientes para descrição das patologias encontradas durante os levantamentos. Com o auxílio de uma maior quantidade de levantamentos seria possível estabelecer relações entre ICP e IRI sendo que a relação encontrada com base no universo estudado foi fraca, embora aponte uma tendência. O trabalho enfatiza o estudo e a aplicabilidade do método de avaliação objetiva do USACE que é amplamente empregado nos E.U.A. Por fim discute possível relação entre os valores do ICP e do IRI no caso estudado.
This research aimed to verify types and possible causes for the occurrence of distresses in reinforced concrete pavements as well as to verify the applicability and critically examine the methods for assessment of the functional condition for such pavements. It is presented the distresses types and its severity levels described by the method of the United States Corps of Engineers (USACE), as well as the methods for surface evaluation of concrete pavements, including the international roughness index (IRI), the quarter of car index (QI), the present serviceability ratio (PSR) and subjective and objective evaluation of the pavement condition index (PCI). The practice study focused in four cases of reinforced concrete pavements, an urban pavement and three industrials floors, consisting on detailed field evaluation of distresses with subsequent determination of PCI for several pavement sections. It was carried out a field measurement of IRI using an inertial profiler for the case of urban pavement, in order to verify whether this method could reflect the actual the performance of reinforced pavement concrete. The performed surveys allowed understanding that most of cases with low PCI values are due to constructive fails. The list of distresses suggested by PCI manual is suffice to identify the distresses found out during the surveys. However it shall be required a large amount of field surveys in order to define better correlation between PCI and IRI in view of the current results.
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Becker, Virgínia Esther Gueller. "Aplicação do modelo de Tavakoli para gerência de manutenção de pavimentos em cidade de médio porte." Universidade de São Paulo, 2012. http://www.teses.usp.br/teses/disponiveis/3/3138/tde-18062013-155806/.

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Este trabalho foi realizado com o objetivo de aplicar o Modelo de Tavakoli, que é um modelo de gerência de pavimentos para vias urbanas, para análise de priorização de vias urbanas em cidade de médio porte. Para isso se utilizou um estudo de campo previamente realizado pela Prefeitura Municipal de Suzano e pelo Laboratório de Mecânica de Pavimentos da Universidade de São Paulo no município de Suzano, no ano de 2007, com o qual foi criado um banco de dados das vias do município. Naquele estudo foi empregado o modelo HDM-4 do Banco Mundial para a priorização de intervenções de manutenção nas vias públicas. No presente trabalho buscou-se elaborar um estudo comparativo entre aquela solução e a solução atingida pelo modelo de Tavakoli para um mesmo conjunto de vias. Para este trabalho o Modelo de Tavakoli foi adaptado para planilhas eletrônicas e aplicado em um conjunto de seções de pavimentos, permitindo a determinação de uma lista de prioridades de intervenções. Posteriormente, essas intervenções foram simuladas para o mesmo conjunto de vias, buscando a priorização dos serviços, com o modelo HDM-4 versão 1.0. Através deste trabalho foi possível concluir que os dois critérios estudados podem ser úteis para gerenciar vias urbanas, pois priorizaram as intervenções necessárias nas vias urbanas analisadas. Foi possível verificar que o Modelo de Tavakoli se revelou mais conservador, por ser um critério fechado, com um índice de prioridades dependendo diretamente do índice da condição do pavimento e do volume diário médio de tráfego, afetando diretamente a classificação das seções. No Modelo HDM-4 a classificação das seções e os valores de irregularidade não tiveram uma sincronia, pois o HDM-4 é um modelo de critérios abertos, que permite ao usuário acrescentar vários parâmetros, e com estes foi possível reproduzir uma situação um pouco mais próxima da realidade.
This study was conceived in order to apply the Tavakoli Model, which is a pavement management system for urban roads, aiming the analysis of prioritization of urban streets in a mid-sized city. A field study previously conducted by Suzano City and the Pavements Mechanics Laboratory of the University of São Paulo in Suzano City in 2007 was used, from which was created a database of the towns streets. In that study, the Highway Design and Management (HDM-4) Model of the World Bank was employed for prioritizing maintenance work on public roads. In this study it was sought to develop a comparative study between the mentioned solution and the one reached by Tavakolis Model in the same set of roads. In this research the Tavakoli Model was adapted for the spreadsheets and applied to a set of pavement sections, allowing the determination of a priority list of interventions including the specific type of intervention for each segment. Subsequently, these same types of strategies or interventions were simulated for the same set of paths, seeking the prioritization, with HDM-4 Model version 1.0. Through this research it was possible to conclude that both criteria studied can be useful for managing urban roads, because they prioritized the necessary interventions in the urban roads analyzed. The Tavakoli Model proved to be more conservative, on account of being a closed criterion, with a priority index depending directly on the pavement condition index and average daily volume of traffic, affecting the classification of the sections directly as well. In the HDM-4 Model, the classification of the sections and values of the International Roughness Index did not match, due to HDM-4 being an open criteria model, which allows the user to add several parameters, and they can lead to more realistic report.
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Elghriany, Ahmed F. "Investigating Correlations of Pavement Conditions with Crash Rates on In-Service U.S. Highways." University of Akron / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=akron1448454032.

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Páez, Edgar Misael Arévalo. "Índice de condição do pavimento (ICP) para aplicação em sistemas de gerência de pavimentos urbanos." Universidade de São Paulo, 2015. http://www.teses.usp.br/teses/disponiveis/18/18143/tde-29072015-095704/.

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O Índice de Condição do Pavimento (ICP), também apresentado como um índice de defeitos combinados, é, em muitos Sistemas de Gerência de Pavimentos Urbanos (SGPU), o único indicador da qualidade do pavimento dos segmentos que compõem a malha viária. Este trabalho é baseado em conceitos gerais, utilizando os tipos de defeito de pavimentos flexíveis do Programa SHRP (Strategic Highway Research Program), bem como a forma de quantificação da severidade e extensão com que se manifestam na superfície dos pavimentos, mas propõe um novo método para determinação de um Índice de Condição de Pavimentos Urbanos (ICPU), que considera as condições particulares de projeto, materiais, técnicas construtivas, controle de qualidade e políticas de manutenção e reabilitação da cidade em que está sendo implantado. O cálculo do ICPU é desenvolvido em três etapas, em que primeira calcula o peso por tipo de defeito, a partir de questionários preenchidos por profissionais da área de infraestrutura de transportes. A segunda etapa define fatores de ponderação para os pesos, por tipo de defeito e em função da severidade. A terceira e última etapa do método consiste na análise de correlação entre segmentos representativos da malha viária urbana em análise, o que, no estudo de caso desenvolvido neste trabalho, utilizou 10.402 de um total de 111.497 segmentos do Distrito Federal do Brasil, distribuídos entre as trinta regiões administrativas, incluindo Brasília, que foram avaliadas, subjetiva e objetivamente, nos anos de 2010 a 2012, pela Companhia Urbanizadora da Nova Capital do Brasil (NOVACAP), e que permite a determinação dos fatores de ponderação em função da extensão, por tipo de defeito.
The Pavement Condition Index (PCI), also presented as an index of combined defects, is, in many Urban Pavement Management Systems (UPMS), the only indicator of pavement condition for the segments of the urban roadway network. This work is based on general concepts, using the flexible pavement distress types of the SHRP Program (Strategic Highway Research Program), as well as the way to evaluate the severity and extent to which they manifest on the pavement surface, but proposing a new method for determining an Urban Pavement Condition Index (UPCI), which considers the particular conditions of design, materials, construction techniques, quality control and policies of maintenance rehabilitation of the city in which it is being implemented. The calculation of the UPCI is developed in three stages, in which the first calculates the weight by defect type, from questionnaires completed by professionals in the transport infrastructure area. The second stage sets weighting factors for the weights by distress type depending on the severity. The third and final step of the method consists in the analysis of correlation between representative segments of the urban roadway network in question, which, in the case study developed in this study, used a total of 10,402 among 111,497 segments of the Federal District of Brazil, distributed among the thirty administrative regions, including Brasilia, which were evaluated subjectively and objectively, in the years 2010-2012, by the Urbanization Company of the New Capital of Brazil (NOVACAP), which allows the determination of the weighting factors depending on of the distress type as a function of the extension.
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Pereira, Tiago David da Costa Prudente. "Rigid pavements distresses - pavement condition index evaluation." Master's thesis, 2014. http://hdl.handle.net/10362/14761.

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Pavements require maintenance in order to provide good service levels during their life period. Because of the significant costs of this operation and the importance of a proper planning, a pavement evaluation methodology, named Pavement Condition Index (PCI), was created by the U.S. Army Corps of Engineers. This methodology allows for the evaluation of the pavement condition along the life period, generally yearly, with minimum costs and, in this way, it is possible to plan the maintenance action and to adopt adequate measures, minimising the rehabilitation costs. The PCI methodology provides an evaluation based on visual inspection, namely on the distresses observed on the pavement. This condition index of the pavement is classified from 0 to 100, where 0 it is the worst possible condition and 100 the best possible condition. This methodology of pavement assessment represents a significant tool for management methods such as airport pavement management system (APMS) and life-cycle costs analysis (LCCA). Nevertheless, it has some limitations which can jeopardize the correct evaluation of the pavement behavior. Therefore the objective of this dissertation is to help reducing its limitations and make it easier and faster to use. Thus, an automated process of PCI calculation was developed, avoiding the abaci consultation, and consequently, minimizing the human error. To facilitate also the visual inspection a Tablet application was developed to replace the common inspection data sheet and thus making the survey easier to be undertaken. Following, an airport pavement condition was study accordingly with the methodology described at Standard Test Method for Airport Pavement Condition Index Surveys D5340, 2011 where its original condition level is compared with the condition level after iterate possible erroneous considered distresses as well as possible rehabilitations. Afterwards, the results obtained were analyzed and the main conclusions presented together with some future developments.
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wu, Kuang-hua, and 吳光華. "Evaluation of Variation in Pavement Condition Index." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/83797636477420726664.

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碩士
國立成功大學
土木工程學系專班
94
In the road protect or maintain the work, now for spread to face to damage a condition to carry on to evaluate a work is have an equal and important role, because the road supervisor organization can take into for currently spreading condition now right of valuation and control, can spread to face by sound judgment not only current puncture situation, estimate or estimate to spread to face possible usage term and break of trend, draft road to spread to face then and in order to of protect, maintain the need mechanism, establish pertinent protect, repair project. The exploitation the Pavement Condition Index, PCI in this research to evaluate the quality of the road service present condition, and make use of two sets to have professional back ground of civil engineering, and through dissimilarity hour count it spread to face physically train of examine a personnel now, and is classified into the value that get the measurement to the experiment set and matched control, examine a personnel now to dissimilarity for the different road grade, adopt united of examination method, quantity etc.
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Books on the topic "Pavement condition index"

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Laboratory, Construction Engineering Research. The relationship of pavement maintenance costs to the pavement condition index. Champaign, Ill: US Army Corps of Engineers, Construction Engineering Research Laboratory, 1987.

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Floro, Christopher V. O. Development of predictive equations based on Pavement Condition Index data. Seattle, Washington: University of Washington, 1992.

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Effect of sample unit size and number of survey distress types on the Pavement Condition Index (PCI) for asphalt-surfaced roads. Champaign, Ill: US Army Corps of Engineers, Construction Engineering Research Laboratories, 1996.

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Book chapters on the topic "Pavement condition index"

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Rodriguez Velasquez, Egdar Daniel, and Vladik Kreinovich. "Towards a Theoretical Explanation of How Pavement Condition Index Deteriorates over Time." In How Uncertainty-Related Ideas Can Provide Theoretical Explanation For Empirical Dependencies, 121–27. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-65324-8_17.

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Arevalo, E. M., J. L. Fernandes Jr., and S. Becker. "Development of a pavement condition index for urban management systems." In Pavement and Asset Management, 269–75. CRC Press, 2019. http://dx.doi.org/10.1201/9780429264702-32.

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Conference papers on the topic "Pavement condition index"

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Nam, B. H., M. R. Murphy, Z. Zhang, and M. Arellano. "Improved Structural Condition Index for Pavement Evaluation at Network Level." In 2013 Airfield & Highway Pavement Conference. Reston, VA: American Society of Civil Engineers, 2013. http://dx.doi.org/10.1061/9780784413005.064.

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Parsons, T. A., and B. A. Pullen. "Characterization of Pavement Condition Index Deterioration Curve Shape for USAF Airfield Pavements." In International Conference on Highway Pavements and Airfield Technology 2017. Reston, VA: American Society of Civil Engineers, 2017. http://dx.doi.org/10.1061/9780784480953.020.

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Ansari, Mohd Shoyeb, and A. R. Kambekar. "Development of Probabilistic Methodology for Evaluating Pavement Condition Index for Flexible Pavement." In ASCE India Conference 2017. Reston, VA: American Society of Civil Engineers, 2018. http://dx.doi.org/10.1061/9780784482025.043.

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Hafiz, Ali, Manuel Celaya, Vivek Jha, and Michael Frabizzio. "Semi-Automated Method to Determine Pavement Condition Index on Airfields." In International Airfield and Highway Pavements Conference 2021. Reston, VA: American Society of Civil Engineers, 2021. http://dx.doi.org/10.1061/9780784483527.015.

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Hossain, Mohammad, and Kerrie Schattler. "Evaluation of International Roughness Index Measurement Using Cell Phone App and Compare with Pavement Condition Index." In International Airfield and Highway Pavements Conference 2021. Reston, VA: American Society of Civil Engineers, 2021. http://dx.doi.org/10.1061/9780784483503.031.

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Sumarwan, Sri Sunarjono, Agus Riyanto, and Nurul Hidayati. "Development of road condition database based on geographical information system and pavement condition index method." In EXPLORING RESOURCES, PROCESS AND DESIGN FOR SUSTAINABLE URBAN DEVELOPMENT: Proceedings of the 5th International Conference on Engineering, Technology, and Industrial Application (ICETIA) 2018. AIP Publishing, 2019. http://dx.doi.org/10.1063/1.5112388.

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Vemuri, Venkata, Yihao (Wilson) Ren, Lu Gao, Pan Lu, and Lingguang Song. "Pavement Condition Index Estimation Using Smartphone Based Accelerometers for City of Houston." In Construction Research Congress 2020. Reston, VA: American Society of Civil Engineers, 2020. http://dx.doi.org/10.1061/9780784482858.057.

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Adly, Emil, Anita Rahmawati, Dian Setiawan, Siska Dewi, and Wahyu Widodo. "Functional Damage Assessment Visually on the Road Using Pavement Condition Index (PCI)." In 4th International Conference on Sustainable Innovation 2020–Technology, Engineering and Agriculture (ICoSITEA 2020). Paris, France: Atlantis Press, 2021. http://dx.doi.org/10.2991/aer.k.210204.015.

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Chan, Kim, John Whitman, and Amanda Elioff. "The Challenge of Developing a Single Pavement Condition Index to Represent Many Jurisdictions Using Different Indices." In Airfield and Highway Pavements Specialty Conference 2006. Reston, VA: American Society of Civil Engineers, 2006. http://dx.doi.org/10.1061/40838(191)80.

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Kurian, Abhishek, and Elvin Sunildutt. "Artificial Neural Networks in Pavement Engineering: A Recent Review." In International Web Conference in Civil Engineering for a Sustainable Planet. AIJR Publisher, 2021. http://dx.doi.org/10.21467/proceedings.112.66.

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The application of Artificial Neural Networks (ANN) in civil engineering has increased drastically in the past few years. ANN tools are nowadays used commonly in developed countries over various fields of civil engineering like geotechnical, structural, traffic, pavement engineering etc. This paper deals with the review of recent advancements and utilization of ANNs in pavement engineering. The review will focus on pavement performance prediction, maintenance strategies, distress intensity detection through deep learning techniques, pavement condition index prediction etc. The use of ANNs in pavement management systems are expected to furnish a systematic schedule and economic management strategies in the field of pavement engineering. The use of ANNs combined with deep learning techniques help to address complex problems in pavement engineering and pave the way to a sustainable future.
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Reports on the topic "Pavement condition index"

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Shahin, Mohamed Y., Chad Stock, Lisa Beckberger, Chao-Ming Wang, and M. R. Crrovetti. Effect of Sample Unit Size and Number of Survey Distress Types on the Pavement Condition Index (PCI) for Asphalt-Surfaced Roads. Fort Belvoir, VA: Defense Technical Information Center, April 1996. http://dx.doi.org/10.21236/ada310687.

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Lee, Jusang, John E. Haddock, Dario D. Batioja Alvarez, and Reyhaneh Rahbar Rastegar. Quality Control and Quality Assurance of Asphalt Mixtures Using Laboratory Rutting and Cracking Tests. Purdue University, 2019. http://dx.doi.org/10.5703/1288284317087.

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The main objectives of this project were to review the available balanced-mix design (BMD) methodologies, understand the I-FIT and Hamburg Wheel Tracking Test (HWTT) test methods using INDOT asphalt mixtures, and to explore the application of these tests to both a BMD approach and as performance-related Quality Control (QC) and Quality Acceptance (QA) methods. Two QA mixture specimen types, plant-mixed laboratory-compacted (PMLC) and plant-mixed field-compacted (PMFC) were used in the determination of cracking and rutting parameters. Distribution functions for the flexibility index (FI) values and rutting parameters were determined for various mixture types. The effects of specimen geometry and air voids contents on the calculated Flexibility Index (FI) and rutting parameters were investigated. The fatigue characteristics of selected asphalt mixtures were determined using the S-VECD test according to different FI levels for different conditions. A typical full-depth pavement section was implemented in FlexPAVE to explore the cracking characteristics of INDOT asphalt mixtures by investigating the relationship between the FI values of QA samples with the FlexPAVE pavement performance predictions. The FI values obtained from PMFC specimens were consistently higher than their corresponding PMLC specimens. This study also found that FI values were affected significantly by variations in specimen thickness and air voids contents, having higher FI values with higher air voids contents and thinner specimens. These observations do not agree with the general material-performance expectations that better cracking resistance is achieved with lower air voids content and thicker layers. Additionally, PG 70-22 mixtures show the lowest mean FI values followed by the PG 76-22 and 64-22 mixtures. The same order was observed from the ΔTc (asphalt binder cracking index) of INDOT’s 2017 and 2018 projects. Finally, it was found that the HWTT showed reasonable sensitivity to the different characteristics (e.g., aggregate sizes, binder types, and air voids contents) of asphalt mixtures. Mixtures containing modified asphalt binders showed better rut resistance and higher Rutting Resistance Index (RRI) than those containing unmodified binders.
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