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Academic literature on the topic 'PSI (Present Serviceability Index)'
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Journal articles on the topic "PSI (Present Serviceability Index)"
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Aleadelat, Waleed, and Khaled Ksaibati. "Estimation of Pavement Serviceability Index Through Android-Based Smartphone Application for Local Roads." Transportation Research Record: Journal of the Transportation Research Board 2639, no. 1 (2017): 129–35. http://dx.doi.org/10.3141/2639-16.
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The Wyoming Technology Transfer Center is in the process of developing a pavement management system (PMS) for county paved roads in Wyoming. This PMS uses the present serviceability index (PSI) as a main pavement performance parameter. This PMS depends on pavement condition index, international roughness index, and pavement rutting as explanatory variables to estimate PSI. This study researched new explanatory variables measured by using smartphones’ sensors to estimate PSI. It was found that the variance of the signals (time series acceleration data) acquired by smartphones’ accelerometers could work as a very good explanatory variable to estimate PSI. Two models were developed with high significance ( R2 higher than .9) to predict PSI using the variance of smartphone signals. The initial validation results suggested that using these models could predict, with high certainty, the actual PSI values. The difference between the predicted and the actual PSI values was not statistically different. The study was performed on 20 roadway segments extracted from the Wyoming county roads’ PMS database. In addition, the selected segments had various lengths and geometric features reflecting various roadway segments under any PMS. The proposed methodology is intended to lower the cost of measuring county roads’ pavement conditions by estimating PSI directly without the reliance on the direct measurement of pavement condition parameters.
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Nur, Wahyudin, Bambang Sugeng Subagio, and Eri Susanto Hariyadi. "Relationship between the Pavement Condition Index (PCI), Present Serviceability Index (PSI), and Surface Distress Index on Soekarno Hatta Road, Bandung." Jurnal Teknik Sipil 26, no. 2 (2019): 111. http://dx.doi.org/10.5614/jts.2019.26.2.3.
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Zaghloul, Sameh M. "Effect of Poor Workmanship and Lack of Smoothness Testing on Pavement Life-Cycle Costs." Transportation Research Record: Journal of the Transportation Research Board 1539, no. 1 (1996): 102–9. http://dx.doi.org/10.1177/0361198196153900114.
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Pavement performance is commonly evaluated using the concept of pavement serviceability, in which pavement failure is defined by terminal serviceability instead of strict structural failure. The present serviceability index (PSI), the measure of pavement serviceability, is a function of pavement roughness, cracking, patching, and rutting. Pavement roughness is the major component of PSI and represents more than 95 percent of its value. Because roughness is such an important consideration, changes in roughness control pavement life cycles, and, therefore, construction quality, which influences roughness, influences performance and life cycle as well. A case study of a $120,000,000 project is presented. In this project, poor workmanship and lack of smoothness testing led to a considerably high initial roughness. A study was conducted to quantify the long-term effects of the high initial roughness. Results of this study indicate that the pavement service life of the project will be reduced significantly. In addition, a huge increase in the project life-cycle costs is expected. In another study, consideration was given to some of the available smoothness evaluation criteria in which roughness indices, such as the international roughness index and PSI, are used. Results of the study showed that most of these criteria are not capable of adequately addressing the high roughness associated with repeated transverse pumps. Recommendations for overcoming this inadequacy are presented.
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Chou, Chia-Pei, and Cheng-Lung Wu. "Evaluation of Panel Characteristics and User-Based Pavement Serviceability." Transportation Research Record: Journal of the Transportation Research Board 1592, no. 1 (1997): 98–106. http://dx.doi.org/10.3141/1592-12.
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The effects of raters’ characteristics, vehicle classes, and highway classifications on panel ratings are described. Development of the present serviceability index (PSI) models as well as determination of the terminal PSI values for different highway classes in Taiwan also are investigated. Freeways and provincial highways as well as city streets were selected for use in evaluating road serviceability. A rating panel of 20 people rated the selected sections while they were in passenger cars and on buses. Pavement roughness also was measured with the Mays ride meter, and a manual distress survey was conducted to collect the pavement distress data. It is found that raters’ ages did not have a significant effect on the ratings, but factors of raters’ seat location on the bus, driving experience, and gender affected the ratings significantly. Another interesting finding is that raters tended to give lower ratings for freeways and provincial highways than for city streets, even if they were equally rough. Therefore, the terminal PSI of the former (2.1) was higher than that of the latter (1.8). Two PSI models that describe the relationship between panel ratings, pavement distresses, and roadway roughness are established and presented. Due to the large percentage of passengers who travel on buses within the city, a PSI model based on the ratings of city streets by a panel of raters on buses is recommended for the city system, and a PSI model developed from data for ratings of freeways and provincial highways by a panel of raters in passenger cars is recommended for highway systems.
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Liu, Chiu, and Robert Herman. "Roadway-Vehicle Interaction, Physical Indexes, and Human Judgment of Ride Quality." Transportation Research Record: Journal of the Transportation Research Board 1570, no. 1 (1997): 55–59. http://dx.doi.org/10.3141/1570-07.
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Present serviceability index (PSI) modeling has been an important subject for decades. Other dynamic indexes characterizing a roadway such as the international roughness index (IRI), averaged rectified slope (ARS), and averaged rectified speed (ARV) have been proposed and studied. However, the roles played by these indexes in the interaction between road, vehicle, and human ratings have not been made clear. A unified physical model linking the static profile of a roadway and the dynamic response of a vehicle to the profile to the serviceability index of the roadway is presented here. Analytical expressions for jerk index, acceleration index, ARV, ARS, and IRI are derived from the developed model in terms of the physical parameters for roadways and the dynamic characteristics of a vehicle. Then a linear relation between the PSI and the logarithm of the jerk index is proposed. Using the jerk index computed from field profile data, the linear functional form for the PSI is verified, and regression R2 values higher than 0.94 are obtained for various types of pavements. The same analysis is performed for other dynamic indexes, and the R2 values are found to be approximately in the range from 0.70 to 0.80. These results indicate that the theoretical model correctly predicts and explains the human rating of ride quality and that the jerk experienced by raters in a moving vehicle dictates the ratings. Moreover, the relationship of the static parameters of roadway profiles with human ratings is discussed using the conventional approach.
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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 (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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Djakfar, Ludfi, and Freddy L. Roberts. "Performance Prediction of Louisiana Accelerated Loading Facility Test Sections." Transportation Research Record: Journal of the Transportation Research Board 1716, no. 1 (2000): 108–15. http://dx.doi.org/10.3141/1716-13.
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Using the accelerated loading facility (ALF), the Louisiana Transportation Research Center recently conducted an accelerated pavement test of nine test sections that consisted of the same asphalt wearing course but had different types and thicknesses of crushed stone and soil cement bases and subbases. One of the aims of the project was to compare observed field performance with that predicted with use of the VESYS 3A-M mechanistic prediction model, which predicts the development of rutting, cracking, and roughness, along with serviceability [present serviceability index (PSI)] over time. It was found that VESYS provided a reasonable prediction of observed rutting and PSI—albeit an underestimation—but a poor estimate of surface cracking. This was probably related to the fact that the observed cracking was due to shrinkage of the soil cement rather than fatigue cracking under the load, and also to the fact that VESYS is generally used to model unbound granular materials that have a modulus no greater than 690 MPa (100 ksi). The modulus of soil cement material tested by ALF was 105 MPa (150 ksi) and its behavior under load would be different from that of an unbound granular material. More research is needed into the behavior of soil cement bases, their influence on the cracking of asphalt surfacings, and the most appropriate input into VESYS to model this behavior.
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Karaşahin, Mustafa, and Serdal Terzi. "PERFORMANCE MODEL FOR ASPHALT CONCRETE PAVEMENT BASED ON THE FUZZY LOGIC APPROACH." TRANSPORT 29, no. 1 (2014): 18–27. http://dx.doi.org/10.3846/16484142.2014.893926.
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Accurate pavement performance estimation is very important for the managing and maintaining of surface transportation infrastructure. In the present study, a new model for the prediction of present and future performance of flexible pavements is developed using the fuzzy logic approach. The database of the model is able to use numerical measurements and also linguistic statements. Many models developed in the literature neglect the parameters that have little bearing on performance. However, it is a well known fact that these parameters do have an effect on performance to some degree. Different parameters were considered in the model as accepted by the authorities, and as having little bearing on performance. For each parameter, a certain weight was appointed, and the parameters that affected performance were assigned greater weights while the others were assigned smaller weights. As a result, the current model in the fuzzy logic approach is more flexible than the current Pavement Serviceability Index (PSI) and Pavement Condition Index (PCI) models. The model is different from previous fuzzy logic based models. Two stages of the fuzzy logic approach were used in these models. Since this new methodology does not need any mechanical tests, the model can be adopted by the Pavement Management System (PMS) of developing countries.
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Mao, Xinhua, Jianwei Wang, Changwei Yuan, Wei Yu, and Jiahua Gan. "A Dynamic Traffic Assignment Model for the Sustainability of Pavement Performance." Sustainability 11, no. 1 (2018): 170. http://dx.doi.org/10.3390/su11010170.
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Existing Dynamic Traffic Assignment (DTA) models assign traffic flow with the principle of travel time, which are easy to distribute most of the traffic flows on the shortest path. A serious unbalance of traffic flow in the network can speed up pavement deterioration of highways with heavy traffic, which influences the sustainability of pavement performance and increases maintenance expenditures. The purpose of this research is to obtain a more optimized traffic assignment for pavement damage reduction by establishing a multi-objective DTA model with the objectives of not only minimum travel time but minimum decline of Present Serviceability Index (PSI) for pavements. Then, teaching-learning-based optimization (TLBO) algorithm is utilized to solve the proposed model. Results of a case study indicate that a more balanced traffic flow assignment can be realized by the model, which can effectively reduce average PSI loss, save maintenance expenditures, extend pavement service life span, save fuel consumption and reduce pollutant emissions in spite of a little increase of average travel time. Additionally, sensitivity of weight factor for the two objective functions is analyzed. This research provides some insights on methods on sustainable pavement performance.
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Kavianipour, O., M. Montazeri-Gh, and M. Moazamizadeh. "Road profile measurement using the two degrees of freedom response-type mechanism." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 229, no. 6 (2014): 1074–87. http://dx.doi.org/10.1177/0954406214543096.
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This paper deals with the two degrees of freedom response-type mechanism (2 DOF RTM) designed at Iran University Science and Technology. The applications of the 2 DOF RTM are to measure the longitudinal road profile and assess the vehicle suspension system. When the 2 DOF RTM is connected to a vehicle, it is able to measure the longitudinal road profile and it is capable of assessing the vehicle suspension system while it is perched upon the exciting device. The most important part of the 2 DOF RTM is its hub planned for decreasing the vehicle movement effects on the measurement. Moreover, this paper develops a novel procedure in order to convert the measured profile from the variable speed to the constant speed. To examine the 2 DOF RTM, a profile of a road is measured by the mechanism in the time-domain, and then the highly significant roughness indices such as power spectral density (PSD) of the road unevenness, international roughness index (IRI) and present serviceability index (PSI) are estimated using the measured profile.
Dissertations / Theses on the topic "PSI (Present Serviceability Index)"
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Savigni, Valeria. "Proposta di un PMS (Pavement Management System) delle pavimentazioni flessibili in ambito urbano." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2017.
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Analisi delle principali caratteristiche delle pavimentazioni flessibili, dei materiali costituenti la miscela di conglomerato bituminoso e delle tipologie di ammaloramento ricorrenti. Studio del metodo di progetto dell'AASHTO Interim Guide, per la progettazione delle strade di nuova realizzazione. Applicazione del metodo semi-empirico dell’AASHTO Interim Guide a dieci casi di studio di strade esistenti del tessuto urbano del Comune di Ravenna. Analisi dell’indicatore di stato PSI misurato mediate attività di rilievo visivo e strumentale ARAN, dei dati di traffico ottenuti da rilievo strumentale e sondaggio delle strutture delle strade esaminate mediante carotaggio dei pacchetti stradali. Determinazione degli assi standard da 8,2 t residui e degli anni di vita utile residui delle pavimentazioni. Accenni alle principali tipologie di manutenzione e alle soglie di intervento. Creazione di curve di decadimento (PSI - assi standard e PSI - anni di vita utile) allo scopo di fornire un modello di previsione del degrado finalizzato a fornire un metodo per la manutenzione preventiva in ambito urbano.
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Hsu, Kai-chun, and 許楷均. "Estimating the Present Serviceability Index of Flexible Pavement using Fuzzy Regression Analysis." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/54542688085831101361.
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碩士<br>國立成功大學<br>土木工程學系碩博士班<br>96<br>The main objective of pavement construction is to provide the safe and comfortable quality of the road for users. The roughness of pavement is an important effect to the users’ feeling of the road. However, the pavement condition deteriorates because of traffic, rainfalls, temperature, etc. The estimation and maintanence of pavement condition domestically has some problems, for example lack of long-term pavement data, incompleted records, unprecise models etc. In conclusion, considering the relationship between deteriorated pavement condition and the users’ feeling of road, maintaining good pavement serviceability and predicting pavement condition are worthy subjects to research.
In the past, conventional regression model often had been used in estimating pavement condition. For example, Carey and Irick in 1960 established PSI(Present Serviceability Index) regression model to deal with the relation between PSR (Present Serviceability Rating) and objective measurement(Chang et al, 2003). But PSR and other deteriorated pavement condition is evaluated by the subjective judgment. The conventional regression model cannot deal with uncertainty and fuzziness data ,so fuzzy regression model is used to establish the PSI regression model and handle this kind of problems.
This study aims at disscussing the relationship between PSR and the deteriorated pavement and applying Pan and Hwang’s fuzzy regression model in 2008 to develop fuzzy PSI(Present Serviceability Index) regression model. This model can deal with the fuzzy dependent parameters and fuzzy/crisp independent parameters.
Based on the result of this study, roughness affect pavement serviceability mostly and manholes affect secondly. Therefore, this fuzzy regression model in this study has 70% explained the ability in relationship between PSR and the deteriorated pavement condition through R-square. It can help pavement managers to estimate pavement serviceability effectively and order suitable pavement maintenance strategies.
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ching-Tsung, Hung, and 洪境聰. "The Study on Establishing the Present Serviceability Index and Predictive Model of Flexible Pavement." Thesis, 2000. http://ndltd.ncl.edu.tw/handle/89400489468751213483.
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碩士<br>國立中央大學<br>土木工程研究所<br>88<br>The primary purpose of pavement management system is to provide the good and comfortable roads with users. However, the actual conditions of roads are very complex. In order to evaluate the ride quality of roads, it plays an important role to establish the present serviceability index in pavement management system. Besides, the predictive model of pavement deterioration is also the indispensable element for analyzing the life cycle cost in pavement management system. However, it is very difficult to establish the practical index and predictive model for lack of long-term data collected in Taiwan. And then, the maintenance activities cannot be planned effectively.
According to the on-site survey and investigation, the present serviceability index for provincial and county roads can be derived by statistical analysis. And, the critical value of PSI is 2.19. In addition, the good predictive results also can be obtained from the predictive model established by neural network.
Books on the topic "PSI (Present Serviceability Index)"
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United States. Federal Highway Administration. Demonstration Projects Division. and University of Texas at Arlington., eds. Profilograph correlation study with present serviceability index: Correlation of California and Rainhart profilographs with PSI. U.S. Dept. of Transportation, Federal Highway Administration, Demonstration Projects Division, 1988.
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