Servicability Prediction Models and Roughness Estimation Through Smartphones for County Paved Roads in Wyoming PDF Download
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Author: Waleed Aleadelate Publisher: ISBN: 9781369182064 Category : Pavements Languages : en Pages : 122
Book Description
In Wyoming, most county paved roads were built decades ago without following minimum design standards. However, the recent increase in industrial/mineral activities in the state requires developing a Pavement Management System (PMS) for local paved roads. Thus, The Wyoming Technology Transfer Center/Local Technical Assistant Program (WYT2/LTAP) is currently in the process of developing a PMS for county roads. The PMS which is being developed uses the present serviceability index (PSI) as a pavement performance parameter. The primary steps in the development process show that there are two major issues related to the development of county roads PMS; the none availability of suitable PSI prediction models for county roads and the high costs related to the pavement condition data collection process. This study comprises of two parts. The first part of this study deals with the development of exclusive county roads PSI models. The developed PSI models for county roads are based on: International Roughness Index (IRI), Pavement Condition Index (PCI), and rut depth for flexible pavements only. Ten panelists from Wyoming rated 30 pavement sections that were randomly selected at different distresses’ levels using two vehicles (SUV and Sedan). Regarding the rating process, the F-test results for equal variances indicated that the seating position, age, and gender were not significant to the rating process. However, the vehicle’s type was significant. One model (Sedan model) was proposed to be used in the county roads PMS. The newly proposed model explains 80 percent of the variations in the PSI values of county roads (Adjusted R2 = 0.80). In addition, the new model seems to provide more realistic representation of the county roads conditions. In the second part of this study, modern smartphones are proposed as a cost effective solution to minimize the costs of collecting pavement condition data. Modern smartphones are equipped with many useful sensors such as gyroscopes, magnetometers, GPS receivers and 3D accelerometers. Smartphones’ 3D accelerometer was used for collecting a vehicle’s vertical acceleration data. Through the use of various signal processing and pattern recognition techniques such as cross correlations, Welch periodograms, and variance analyses, the measured signals (time series acceleration data) were identified and correlated with the actual IRI values. It was found that the variance among the vertical acceleration measurements was the key feature for classifying the measured signals. A validation analysis was also conducted to measure the reliability of this methodology. The initial validation results suggested that, using the aforementioned methodology, the smartphones used could predict with high certainty the actual IRI values. In addition, the difference between the predicted and the actual IRI values was not statistically significant. The smartphones data were collected over 20 roadway segments. The selected segments have various lengths and geometric features reflecting the actual roadway segments under any PMS.
Author: Waleed Aleadelate Publisher: ISBN: 9781369182064 Category : Pavements Languages : en Pages : 122
Book Description
In Wyoming, most county paved roads were built decades ago without following minimum design standards. However, the recent increase in industrial/mineral activities in the state requires developing a Pavement Management System (PMS) for local paved roads. Thus, The Wyoming Technology Transfer Center/Local Technical Assistant Program (WYT2/LTAP) is currently in the process of developing a PMS for county roads. The PMS which is being developed uses the present serviceability index (PSI) as a pavement performance parameter. The primary steps in the development process show that there are two major issues related to the development of county roads PMS; the none availability of suitable PSI prediction models for county roads and the high costs related to the pavement condition data collection process. This study comprises of two parts. The first part of this study deals with the development of exclusive county roads PSI models. The developed PSI models for county roads are based on: International Roughness Index (IRI), Pavement Condition Index (PCI), and rut depth for flexible pavements only. Ten panelists from Wyoming rated 30 pavement sections that were randomly selected at different distresses’ levels using two vehicles (SUV and Sedan). Regarding the rating process, the F-test results for equal variances indicated that the seating position, age, and gender were not significant to the rating process. However, the vehicle’s type was significant. One model (Sedan model) was proposed to be used in the county roads PMS. The newly proposed model explains 80 percent of the variations in the PSI values of county roads (Adjusted R2 = 0.80). In addition, the new model seems to provide more realistic representation of the county roads conditions. In the second part of this study, modern smartphones are proposed as a cost effective solution to minimize the costs of collecting pavement condition data. Modern smartphones are equipped with many useful sensors such as gyroscopes, magnetometers, GPS receivers and 3D accelerometers. Smartphones’ 3D accelerometer was used for collecting a vehicle’s vertical acceleration data. Through the use of various signal processing and pattern recognition techniques such as cross correlations, Welch periodograms, and variance analyses, the measured signals (time series acceleration data) were identified and correlated with the actual IRI values. It was found that the variance among the vertical acceleration measurements was the key feature for classifying the measured signals. A validation analysis was also conducted to measure the reliability of this methodology. The initial validation results suggested that, using the aforementioned methodology, the smartphones used could predict with high certainty the actual IRI values. In addition, the difference between the predicted and the actual IRI values was not statistically significant. The smartphones data were collected over 20 roadway segments. The selected segments have various lengths and geometric features reflecting the actual roadway segments under any PMS.
Author: Marwan Hafez Publisher: ISBN: 9781339441450 Category : Low-volume roads Languages : en Pages : 188
Book Description
In 2014, Wyoming Technology Transfer Center/Local Technical Assistance Program (WYT2/LTAP) initiated a pavement management system (PMS) program for county roads in the State of Wyoming. Building a PMS for county roads provides assistant and defensible tools for legislatures to allocate appropriate funds to maintain county roads. In Wyoming, there are total 2,444 miles of county paved roads managed and maintained under the supervision of local governments and municipalities. More than 50% of county paved roads have an average daily traffic (ADT) less than 400 vehicles per day. These roads are considered as low-volume roads. There is no legal requirement to implement a typical pavement management system on county and local roads. However, the funding constraints for maintaining county roads increase the importance of implementing a pavement management system on the lower systems. The most important issue in managing county paved roads as low-volume roads is to define practices and polices applied within the available resources. This study investigates appropriate tools to better manage low-volume paved roads. The tools provide effective guidelines and statistical techniques to reduce the costs of collecting pavement condition data. Online surveys were disseminated for all experts and pavement managers who are involved in preserving low-volume paved roads in Colorado and nationwide. This study developed four surveys. The summaries of only two surveys were included in this thesis since the two other surveys are in progress. A feedback from TRB standing committee members and specialist engineers in Colorado Department of Transportation (CDOT) was analyzed. The most appropriate practices and recommended tools were developed for managing low-volume paved roads using effective strategies. These strategies help local governments in Wyoming manage their county paved roads in a cost-effective manners. The automated techniques used to collect pavement condition data are relatively expensive for local agencies. In addition, there are questions about the needs to collect pavement condition data annually since county roads have relatively low traffic volumes. In order to optimize the cost of data collection, this study evaluates the possibility of reducing the amount of pavement condition data collected in each survey. Reducing the amount of collected data provides missing values. This study applies multiple imputation analyses as an assistant tool to predict the uncollected data at the network level. Another objective of this study is to determine the most cost-effective pavement condition data collection frequencies. The study uses a historical PMS data of the State secondary highways in Wyoming as a case study. A comparison between different frequencies was developed. It was concluded that uncollected pavement condition indices can be predicted using initial/historical values. The imputation models, developed in this study, provided a good estimation of the uncollected pavement condition indices. Therefore, pavement condition data of low-volume paved roads is not recommended to be collected for the whole network annually. Instead, a less expensive sequence can be adopted where the data which is not collected can be predicted using multiple imputation models developed in this study.
Author: Dick T. Apronti Publisher: ISBN: 9781339391878 Category : Highway planning Languages : en Pages : 239
Book Description
This research project developed low-cost and effective traffic volume prediction models for rural low-volume roads in Wyoming. The models were developed to support a wide variety of design, planning, and management functions on both state and county road networks. A review of existing methods of traffic volume estimation in other states was carried out. Two main model types were identified - regression models and travel demand models. The study developed the two model types for Wyoming and recommended the best model for implementation. Two regression models were developed, a linear regression model and a logistic regression model. Each of the regression models was developed using data from 13 randomly selected counties in Wyoming and nine counties were used to verify the utility of the models. The linear regression model had an R square of 64.3% and was verified to be a good predictor of traffic volumes across Wyoming. The logistic regression model was also verified and shown to have a prediction accuracy ranging from 78% to 89%. The travel demand model (TDM) was developed using standard factors and trip rates in the NCHRP Report 365. The TDM was implemented for four south eastern counties in Wyoming. The model was then verified and calibrated by comparing actual traffic volumes to those generated by the model. The calibrated model had percentage root mean square error (%RMSE) and R square values of 50.33% and 74% respectively. The dissertation compared the three models with respect to cost-effectiveness, ease of use, and accuracy and recommended the travel demand model for implementation across Wyoming. The regression models were recommended for applications requiring quick traffic volume estimations and for which lower levels of accuracy are acceptable.
Author: Xianming Shi Publisher: John Wiley & Sons ISBN: 1119185068 Category : Technology & Engineering Languages : en Pages : 476
Book Description
The first and only comprehensive guide to best practices in winter road operations Winter maintenance operations are essential to ensure the safety, mobility, and productivity of transportation systems, especially in cold-weather climates, and responsible agencies are continually challenged to provide a high level of service in a fiscally and environmentally responsible manner. Sustainable Winter Road Operations bridges the knowledge gaps, providing the first up-to-date, authoritative, single-source overview and guide to best practices in winter road operations that considers the triple bottom line of sustainability. With contributions from experts in the field from around the world, this book takes a holistic approach to the subject. The authors address the many negative impacts on regional economies and the environment of poorly planned and inadequate winter road operations, and they make a strong case for the myriad benefits of environmentally sustainable concepts and practices. Best practice applications of materials, processes, equipment, and associated technologies and how they can improve the effectiveness and efficiency of winter operations, optimize materials usage, and minimize cost, corrosion, and environmental impacts are all covered in depth. Provides the first up-to-date, authoritative and comprehensive overview of best practices in sustainable winter road operations currently in use around the world Covers materials, processes, equipment, and associated technologies for sustainable winter road operations Brings together contributions by an international all-star team of experts with extensive experience in designing, implementing, and managing sustainable winter road operations Designed to bring professionals involved in transportation and highway maintenance and control up to speed with current best practice Sustainable Winter Road Operations is essential reading for maintenance professionals dealing with snow and ice control operations on highways, motorways and local roads. It is a valuable source of information and guidance for decision makers, researchers, and engineers in transportation engineering involved in transportation and highway maintenance. And it is an ideal textbook for advanced-level courses in transportation engineering.
Author: M.Y. Shahin Publisher: Springer ISBN: 9780412992018 Category : Technology & Engineering Languages : en Pages : 450
Book Description
Emphasizing sound, cost-effective management rather than emergency repairs, this comprehensive volume offers practical guidelines on evaluating and managing pavements for airports, roads, and parking lots. The author focuses on the implementation and maintenance of successful management strategies for both network and project levels, with repair techniques also described . Detailed chapters: 1) outline step-by-step procedures for project and network level pavement management 2) illustrate effective cost analysis and budget planning for pavement maintenance 3) guide the reader in the selection and use of non-destructive deflection, roughness measurement, and friction measurement equipment 4) present state-of-the-art pavement rehabilitation and condition prediction techniques 5) demonstrates the Pavement Condition Index (PCI) procedure for airfields and surfaced and unsurfaced roads. Extensive appendices serve as a field manual for identifying all types of pavement distress and their causes, and hundred of photographs facilitate accurate pavement evaluation. Civil and pavement engineers will find complete information on pavement inspection, evaluation, and management in this indispensable reference.
Author: A. Pasumpon Pandian Publisher: Springer Nature ISBN: 9811584435 Category : Technology & Engineering Languages : en Pages : 972
Book Description
This book is a collection of papers presented at the International Conference on Intelligent Computing, Information and Control Systems (ICICCS 2020). It encompasses various research works that help to develop and advance the next-generation intelligent computing and control systems. The book integrates the computational intelligence and intelligent control systems to provide a powerful methodology for a wide range of data analytics issues in industries and societal applications. The book also presents the new algorithms and methodologies for promoting advances in common intelligent computing and control methodologies including evolutionary computation, artificial life, virtual infrastructures, fuzzy logic, artificial immune systems, neural networks and various neuro-hybrid methodologies. This book is pragmatic for researchers, academicians and students dealing with mathematically intransigent problems.
Author: Dallas N. Little Publisher: Springer ISBN: 331958443X Category : Technology & Engineering Languages : en Pages : 702
Book Description
This textbook lays out the state of the art for modeling of asphalt concrete as the major structural component of flexible pavements. The text adopts a pedagogy in which a scientific approach, based on materials science and continuum mechanics, predicts the performance of any configuration of flexible roadways subjected to cyclic loadings. The authors incorporate state-of the-art computational mechanics to predict the evolution of material properties, stresses and strains, and roadway deterioration. Designed specifically for both students and practitioners, the book presents fundamentally complex concepts in a clear and concise way that aids the roadway design community to assimilate the tools for designing sustainable roadways using both traditional and innovative technologies.
Author: Bohdan T. Kulakowski Publisher: ASTM International ISBN: 0803118937 Category : Pavements Languages : en Pages : 264
Book Description
Proceedings of a conference held in Santa Barbara, California, in May 1992. Topics include simulation and analysis of trucks using the program BAMMS, predicting vertical dynamic tire forces of heavy trucks, factors affecting the design and use of the Texas Mobile Load Simulator, traction tests on an
Author: Waleed Aleadelate
Author: Waleed Aleadelate
Author: Marwan Hafez
Author: Dick T. Apronti
Author: Xianming Shi
Author: M.Y. Shahin
Author: United States. Army Materiel Development and Readiness Command
Author: 
Author: A. Pasumpon Pandian
Author: Dallas N. Little
Author: Bohdan T. Kulakowski