Download or read book Refinement of Measurement Techniques of Road Profile and International Roughness Index IRI to Support the KDOT Pavement Management System PMS Annual Road condition Survey Research written by Stephen A. Dyer and published by . This book was released on 2005 with total page 46 pages. Available in PDF, EPUB and Kindle. Book excerpt: This project is the first phase of a proposed larger research effort whose goal is twofold: 1) to determine effective guidelines for collecting and processing road profiles; and 2) to determine, insofar as possible, the specific causes of the poor repeatability in the data obtained by the present Kansas Department of Transportation (KDOT) Pavement Management System.

Download or read book Guidelines for Conducting and Calibrating Road Roughness Measurements written by Michael W. Sayers and published by . This book was released on 1986 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt: Road roughness is gaining increasing importance as an indicator of road condition, both in terms of pavement performance, and as a major determinant of road user costs. This paper defines roughness measurement systems hierachically into four groups, ranging from profilometric methods (2 groups), through response type road roughness measuring systems (RTRRMS's), and, subjective evaluation. The International Roughness Index (IRI) is defined, and the programs for it's calculation are provided. The IRI is based on simulation of the roughness response of a car travelling at 80 km/h. The report explains how all roughness measurements can be related to this scale, also when travelling at lower speeds than 80 km/h. The IRI emerges as a scale that can be used both for calibration and for comparative purposes.

Download or read book Pavement Roughness Measuring Technique and Changes written by National Research Council (U.S.). Highway Research Board and published by . This book was released on 1962 with total page 130 pages. Available in PDF, EPUB and Kindle. Book excerpt: Paper 1: An analysis is presented of some 6,000 mi of pavement profile obtained by the Michigan pavement performance study in the 3-year period of 1958-59-60. Paper 2: Using the criterion of pavement condition as defined in this paper, it is possible to estimate the dynamic force that one wheel of a vehicle will exert on a highway. Paper 3: The method used to measure road profile and techniques used to establish the accuracy of these measurements are described. Paper 4: Various modifications made by Illinois are described in constructing its roadometer as well as the tests in which it has been subjected and its use in rating Illinois pavements under the present serviceability concept following correlation of the device with the AASHO road test profilometer.

Download or read book Guidelines for Longitudinal Pavement Profile Measurement written by National Cooperative Highway Research Program and published by . This book was released on 1999 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Measuring Characterizing and Reporting Pavement Roughness of Low speed and Urban Roads written by Steven M. Karamihas and published by . This book was released on 2019 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: Pavement smoothness (or roughness) is used by state highway agencies for monitoring network condition and other purposes such as assessing construction quality and optimizing investments in preservation, rehabilitation, and reconstruction. States are also required to report the International Roughness Index (IRI) as an element of the federal Highway Performance Monitoring System (HPMS). Because IRI is not measured directly but is calculated as the mechanical response of a generic quarter-car, traveling at 50 mph, to the elevation profile of the roadway, there are concerns about using current practices for estimating roughness of low-speed and urban roads. Because of the unique features of low-speed and urban roads, research was needed to identify or, if necessary, develop means for appropriately measuring, characterizing and reporting pavement roughness of these roads. National Cooperative Highway Research Program (NCHRP) Research Report 914: Measuring, Characterizing, and Reporting Pavement Roughness of Low-Speed and Urban Roads reviews the practices for roughness measurement and the unique features of urban and low-speed roadways, and it evaluates the use of existing inertial profilers for such measurements. The report also proposes revisions to American Association of State Highway and Transportation Officials standard specifications and practices addressing inertial profiler certification and operations.

Download or read book Correlation of the IJK Roadmeter to the International Roughness Index written by Kevin Jones and published by . This book was released on 1992 with total page 38 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Development of Methods and Specifications for the Use of Inertial Profilers and the International Roughness Index for Newly Constructed Pavement written by Dwayne Harris and published by Joint Transportation Research Program. This book was released on 2013-10 with total page 66 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Indiana Department of Transportation (INDOT) is currently utilizing a profilograph and the profile index for measuring smoothness assurance for newly constructed pavements. However, there are benefits to implementing a new IRI based smoothness specification utilizing road profiles measured using inertial profilers. Technological advancements have improved the quality of road profiles measured using inertial profilers; furthermore, utilizing inertial profilers allows smoothness data to be collected much more quickly and efficiently than the methodology currently utilized by INDOT. Pavement smoothness quantified using International Roughness Index (IRI) calculated using profiles provided by inertial profiles is better correlated to user response than what is currently being utilized by INDOT. Furthermore, INDOT currently utilizes IRI to monitor the pavement smoothness throughout the remaining life of the pavement. Consequently, Utilizing IRI for measuring the smoothness of newly constructed pavements allows seamless monitoring of pavement smoothness from cradle to grave. This study presents an IRI based draft smoothness specification for newly constructed pavements utilizing profiles provide by inertial profilers. The process developing a draft specification included developing pay factor tables, developing the methodology for calculating the smoothness bonus, developing methodology for locating areas of localized roughness, and developing inertial profiler certification procedures.

Download or read book Pavement Deterioration Modeling Using Historical Roghness Data written by Michelle Elizabeth Beckley and published by . This book was released on 2016 with total page 78 pages. Available in PDF, EPUB and Kindle. Book excerpt: Pavement management systems and performance prediction modeling tools are essential for maintaining an efficient and cost effective roadway network. One indicator of pavement performance is the International Roughness Index (IRI), which is a measure of ride quality and also impacts road safety. Many transportation agencies use IRI to allocate annual maintenance and rehabilitation strategies to their road network. The objective of the work in this study was to develop a methodology to evaluate and predict pavement roughness over the pavement service life. Unlike previous studies, a unique aspect of this work was the use of non-linear mathematical function, sigmoidal growth function, to model the IRI data and provide agencies with the information needed for decision making in asset management and funding allocation. The analysis included data from two major databases (case studies): Long Term Pavement Performance (LTPP) and the Minnesota Department of Transportation MnROAD research program. Each case study analyzed periodic IRI measurements, which were used to develop the sigmoidal models.The analysis aimed to demonstrate several concepts; that the LTPP and MnROAD roughness data could be represented using the sigmoidal growth function, that periodic IRI measurements collected for road sections with similar characteristics could be processed to develop an IRI curve representing the pavement deterioration for this group, and that pavement deterioration using historical IRI data can provide insight on traffic loading, material, and climate effects. The results of the two case studies concluded that in general, pavement sections without drainage systems, narrower lanes, higher traffic, or measured in the outermost lane were observed to have more rapid deterioration trends than their counterparts. Overall, this study demonstrated that the sigmoidal growth function is a viable option for roughness deterioration modeling. This research not only to demonstrated how historical roughness can be modeled, but also how the same framework could be applied to other measures of pavement performance which deteriorate in a similar manner, including distress severity, present serviceability rating, and friction loss. These sigmoidal models are regarded to provide better understanding of particular pavement network deterioration, which in turn can provide value in asset management and resource allocation planning.

Download or read book Pavement Condition Measurement Needs and Methods Final report written by and published by . This book was released on 1978 with total page 20 pages. Available in PDF, EPUB and Kindle. Book excerpt: This study was to investigate current practice, select the best techniques, and recommend equipment and methodology suitable for pavement condition evaluation. It consisted of visits to chosen States to determine pavement properties that can be measured and provide data for management decisions. The information collected was supplemented with a literature search and a limited firsthand review of equipment in use. The recommended roadway property measurements needed for pavement condition evaluation as inputs to pavement management systems are skid resistance, roughness, structural capacity, and pavement distress used to assist in pavement repair strategy. Suggestions on data processing, storage, and retrieval are also given in the report.

Download or read book NAASRA Roughness Meter Calibration Via the Road profile based International Roughness Index IRI written by H. Prem and published by . This book was released on 1989-01-01 with total page 35 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Interpretation of Road Roughness Profile Data written by Michael W. Sayers and published by . This book was released on 1996 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Pavement Condition Measurement Needs and Methods written by and published by . This book was released on 1978 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt: This study was to investigate current practice, select the best techniques, and recommend equipment and methodology suitable for pavement condition evaluation. It consisted of visits to chosen States to determine pavement properties that can be measured and provide data for management decisions. The information collected was supplemented with a literature search and a limited firsthand review of equipment in use. The recommended roadway property measurements needed for pavement condition evaluation as inputs to pavement management systems are skid resistance, roughness, structural capacity, and pavement distress used to assist in pavement repair strategy. Suggestions on data processing, storage, and retrieval are also given in the report.

Download or read book Road Condition and Road Roughness Assessment by Tire road Interaction Using Microphone Dynamic Tire Pressure Sensor with an Axle Accelerometer written by Yubo Zhao and published by . This book was released on 2015 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt: The United States is facing grave infrastructure challenges related to repairing aging roads with limited resource allocation. Every year, large sums of money are invested into repairs, but these repairs are still inadequate. In order to best prioritize road maintenance investment, city officials should know the grade of all roads prior to any action of repair. Two major parameters are widely used to assess road surface conditions: International Roughness Index (IRI) and Pavement Condition Index (PCI). IRI is a standardized and widely used parameter to quantify road roughness and riders’ comfort level for major highways. A low IRI value indicates a smooth road and a high value indicates that the road has distresses, such as potholes or deep depressions. One limitation of the current IRI measurement is that the laser profilometers used with accelerometers are incapable of operating on a wet road surface. Another is IRI’s inaccuracy due to the speed effect and complicated road conditions (potholes, manholes, etc.). PCI has been used widely on urban roads. A high PCI value indicates a good road and a low value indicates a poor road. The limitations of current PCI measurement include the high cost, difficulty of manually gathering measurements without traffic interruptions , and low efficiency on data processing due to large amounts of pictures. To overcome these limitations, this dissertation develops two new sensor systems for IRI measurement: a directional microphone and dynamic tire pressure sensor (DTPS) with an axle accelerometer. These sensors are all mounted on a moving vehicle. This research develops that IRI measurement use a directional microphone and a probabilistic method to analyze the probability density function (PDF) of acoustic data collected while driving. Acoustic response of tire/road interactions was measured. Weibull distribution of the acoustic data was applied to the IRI estimation on Superpave, Stone Matrix Asphalt (SMA), and Open Grade Friction Coarse (OGFC) roads with IRI values less than 2 m/km. IRI measurement using DTPS with an axle accelerometer analyzes the tire pressure change inside the tire with an axle accelerometer. Speed effect has been minimized in the derivation. Therefore, it is suitable for both urban roads and state/interstate highways. Field road tests have been conducted to validate the accuracy for the cities of Brockton and Boston, MA, and for part of interstate highway I-95 MA, state highway US-1 and US-128. A certification test was also completed at New Bedford Regional Airport administered by the Massachusetts Department of Transportation. Results showed that the higher the IRI values, the lower the PCI values. It is possible to use IRI to assess road conditions for both urban roads and highways and indirectly infer PCI values of urban roads. The advantages of this method are that it works under all weather conditions since the sensor is inside the tire, and it does not interrupt the traffic. The speed effect, which was encountered in the method which used laser profilometers with accelerometers, is considerably minimized in the DTPS approach since this approach does not require the systematic integration of acceleration data. Therefore, it works for both highways and urban roads. Meanwhile, a miniature fixture was designed to further the simplification of the mounting process for easy installation. An energy harvesting system was also designed and tested at a speed of up to 52 km/h in the lab in order to power the DTPS sensing system. Not only can this energy harvester be used to power the DTPS system, but it can also potentially be used as an independent energy harvester to recharge car batteries and to power vehicle based sensors, including their wireless transmitters and vehicle computer chips. This new development will enable continuous, network-wide assessments of roadway conditions to effectively and efficiently make the right repair, at the right time, in the right place.

Download or read book Development and Evaluation of an Inertial Based Pavement Roughness Measuring System written by Fengxuan Hu and published by . This book was released on 2006 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: ABSTRACT: Roughness is an important indicator of pavement riding comfort and safety. It is a condition indicator that should be carefully considered when evaluating primary pavements. At the same time, the use of roughness measurements plays a critical role in the pavement management system. There are many devices used for roughness evaluation. The major tools used for road roughness quantify are the road profilers. In the thesis research, in order to obtain useful pavement surface condition data for pavement evaluation, an inertial based pavement roughness measuring system was developed with the combination of modern sensor technology and computer technology. The research will focus on the development of new method to get the profile in order to improve the repeatability of the inertial based pavement roughness system, the hardware design and the software development which is used for data sampling and data analysis. Finally maximum entropy spectral analysis method was used to evaluate the road profile spectrum. In order to get evaluate the accuracy and correction of the laser profiler system, different roughness devices (including Dipstick, direct type profiler and the laser profiler developed) were operated in the test sites. The research focused on several performance measures, such as repeatability (before and after new method analysis), impact of operating speed and sample interval, correlativity and etc. IRI from these devices were analyzed to evaluate the correlativity between these devices. Some regression models were developed in this research. Test results show that the new method can improve the repeatability of the profiler system. The laser profiler system has good repeatability and the operating speed and sample interval do not have a significant impact on the inertial based roughness measuring system. With the reliable results, the system is ready to be used in the field application within the speed and sample interval range. Through the spectrum analysis, it shows that the spectrum has a qualitative relation with pavement roughness conditions.

Download or read book International Road Roughness Experiment written by Michael W. Sayers and published by . This book was released on 1986-02-01 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Evaluating Roadway Surface Rating Technologies written by and published by . This book was released on 2015 with total page 65 pages. Available in PDF, EPUB and Kindle. Book excerpt: The key project objective was to assess and evaluate the feasibility and accuracy of custom software used in smartphones to measure road roughness from the accelerometer data collected from smartphones and compare results with PASER (Pavement Surface and Evaluation Rating System) and IRI (International Roughness Index) measurement values collected from the same roadway segments. This project is MDOT's first large implementation of a customized Android smartphone to collect road roughness data using a methodology developed from previous research work performed by UMTRI. Accelerometer data collection was performed via Android-based smartphones using a customized software application called DataProbe. During the project's initial phase smartphones were installed in each of nine Michigan Department of Transportation (MDOT) vehicles driven by MDOT employees. These same vehicles also were used during 2012 and 2013 to June, 2015 to collect data on road distress using PASER Ratings for comparison. The DataProbe software application was used to collect data and transmit it to a University of Michigan Transportation Research server, where it was sorted, stored, and analyzed. All MDOT regions are represented in this analysis that compares road roughness ratings for nearly 6000 one tenth of a mile road segments. For the second phase of the project, road distress (PASER Rating) data was collected in 2014 simultaneously with an MDOT vehicle equipped with an IRI device and two DataProbe smartphones and two UMTRI vehicles equipped with five DataProbe smartphones. The analysis of the 2012 and 2013 data found that there were a number of significant predictors of IRI road roughness including: the phone and the vehicle used to collect the data, the speed of the vehicle collecting the data, the type of road surface, date of data collection, and accelerometer variance. By including quadratic terms to adjust for non-linear relationships and interactions among the predictors studied in this project, the multiple regression model predicted nearly 45 percent and 43 percent of the variance in IRI values, respectively. An analysis of commonly used IRI categories (3 level/5 level) using ordinal logistic regression found that DataProbe accurately predicted these categories 68/71 percent of the time (2012 data), 77/76 percent of the time (2013 data). Analysis of the data collected in 2014 showed multiple regression models with variance among accelerometer measurements and speed accounting for 37 percent of the variance, while the ordinal logistic regression accurately predicted the IRI (3 level/5 level) categories 86/83 percent of the time. These results are promising when considering the near term application of the DataProbe technology for smaller locales that drive over their local roads more often, generating web-based road roughness visuals of each of the roads in their jurisdiction. In the longer term, statewide road roughness measurement may be performed through the crowd-sourcing model available through Connected Vehicle initiatives, where all vehicles will be equipped with devices that support safety applications as well as other applications such as those that measure road roughness.

Download or read book Present Serviceability Rating Computation from Reported Distresses written by Senthil Thyagarajan and published by . This book was released on 2021 with total page 42 pages. Available in PDF, EPUB and Kindle. Book excerpt: The National Performance Management Measures; Assessing Pavement Condition for the National Highway Performance Program provided in Subpart C of 23 CFR Part 490 includes an alternative method to report pavement conditions for Interstate and non-Interstate National Highway System locations where the speed limit is less than 40 mph.(1) This alternate method uses present serviceability ratings (PSR) to report pavement condition in lieu of using the International Roughness Index, measures of rutting and faulting, and percentage of cracking where the posted speed limit is less than 40 mph. Per 23 CFR 490.309(b)(1)(iv), the portion of the Interstate mainline highway pavements where PSR is allowable includes border crossings and toll plazas.(1) To address stakeholder concerns about the appropriate application of PSR, the Federal Highway Administration (FHWA) developed resources to support agencies that prefer to use PSR as an alternate pavement-condition-rating system, where permitted. In addition, many agencies do not collect PSR on their pavement segments; instead, they use Pavement Condition Index (PCI) or other indices computed from measured surface distresses in their pavement management systems. In light of this, section 490.309(b)(2)(iii) also allows State DOTs to convert other pavement-condition-assessment methods (e.g., the U.S. Army Corps of Engineers PCI) to PSR if the State establishes to FHWA's satisfaction that the conversion produces pavement condition ratings equivalent to the PSR method. In support of this rule, FHWA has developed this report to provide an approach for estimating PSR from measured surface distress data. It also illustrates correlations between commonly used indices and the PSR, as described in the Highway Performance Monitoring System Field Manual.(3) The appendix includes a guide for using a Microsoft(R) Excel(R)-based PSR Computation Workbook that was developed to assists with estimating PSR from measured surface distresses.(2)