Development of Pavement Condition Forecasting for Web-based Asset Management for County Governments PDF Download

Author: Bradley Wentz
Publisher:
ISBN:
Category : Geographic information systems
Languages : en
Pages : 18

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Book Description
This application was developed to expand a low-cost asset inventory program called Geographic Roadway Inventory Tool (GRIT) to include roadway forecasting based on the American Association of State Highway and Transportation Officials (AASHTO) 93 model with inventory, pavement condition, and traffic forecasting data. Existing input data from GRIT such as pavement thickness, roadway structural information, and construction planning information will be spatially combined with current MnDOT Pathway pavement condition and traffic data to automatically forecast the future condition and age of roadways using the AASHTO 93 model. This forecasting model will allow roadway managers to use this information with comprehensive geographic information system (GIS) web maps to prioritize roadways in their construction schedules or multi-year plans.

Author: Vahid Zand
Publisher:
ISBN:
Category : Culverts
Languages : en
Pages : 71

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Book Description
Federal Aid and Non Federal Aid roads are the most important assets for every local government. Collecting data, analyzing and proposing a practical and cost-effective work plan has been the goal of local agencies. Implementing pavement management process can help local agencies to make the best decision regarding road investments. In this study, pavement management is comprised of two main parts. At the network level, the macroscopic model is adopted where each decision variables represents a specific proportion of the asset network. For each decision variable, future condition prediction models are developed. An annual budget scenario can be analyzed with the flexibility to vary the treatment unit costs, allowable treatments, treatment average life and the span of the analysis period. At the project level, the microscopic model is implemented to generate a detailed work plan based on the results from network level part. Also culverts are of the crucial parts of transportation assets and their failures can jeopardize the ecosystem and result in accidents. Inspecting and developing a management system can help agencies to better understand the current and future condition. In this thesis for a given budget level, the corresponding performance of the asset network is determined using the linear programming optimization with the objective of average network condition maximization. The optimization model consists of an asset deterioration model. The deterioration rates are predicted based on the historical condition data using the Markov model. Then, the results from linear programming used to provide users with a detailed work plan.

Author: Kouros Mohammadian
Publisher: CRC Press
ISBN: 1315743000
Category : Technology & Engineering
Languages : en
Pages : 560

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Civil Engineering and Urban Planning III addresses civil engineering and urban planning issues associated with transportation and the environment. The contributions not only highlight current practices in these areas, but also pay attention to future research and applications, and provide an overview of the progress made in a wide variety of topics

Author: Adrain Reed Gibby
Publisher:
ISBN:
Category :
Languages : en
Pages : 380

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Author: Gulfam Jannat
Publisher:
ISBN:
Category : Pavements
Languages : en
Pages : 183

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Book Description
Pavement Maintenance and Rehabilitation (M&R) are the most critical and expensive components of infrastructure asset management. Increasing traffic load, climate change and resource limitations for road maintenance accelerate pavement deterioration and eventually increase the need for future maintenance treatments. Consequently, pavement management programs are increasingly complex. The complexities are attributed to the precise assessment process of the overall pavement condition, realistic distress prediction and identification of cost-effective M&R schedules. Cost-effective road M&R practices are only possible when the evaluation of pavement condition is precise, pavement deterioration models are accurate, and resources must also be available at the right time. In a Pavement Management System (PMS), feasible M&R treatments are identified at the end of each branch of the decision trees. The decision trees are based on empirical relationships of the pavement performance index. Moreover, the predicted improvements in pavement performance for any treatment are set based on engineering experiences. Furthermore, the remaining service life of the pavement is estimated from the predicted deterioration of the overall condition. The future deterioration of the overall condition is estimated based on the initial condition and by considering only the effect of age notwithstanding the effect of traffic or materials. In assessing the overall condition of the pavement, this research overcomes the limitations of engineering judgment by incorporating a Mechanistic-Empirical (M-E) approach and estimating the improvement in performance for specific treatment types. It also considers the effect of traffic and materials on pavement performance to precisely predict its future deterioration and subsequent remaining service life. The objective of this research is to develop cost-effective pavement M&R schedules by incorporating (a) the M-E approach into the overall condition index and (b) the estimate of performance indices by considering the factors affecting pavement performance. The research objective will be accomplished by (i) incorporating variability analysis of existing performance evaluation practices and maintenance decisions of pavement, (ii) investigating estimates of existing performance indices, (iii) incorporating the M-E approach: sensitivity analysis, prediction, comparison and verification, (iv) estimating the deterioration model based on traffic characteristics and material types, and (v) identifying cost-effective M&R treatment options through Life Cycle Cost Analysis (LCCA). This study uses the pavement performance data of Ontario highways recorded in the Ministry of Transportation (MTO) pavement database. Precise assessment of pavement condition is a significant part in achieving the research goal. In a PMS, an accurate location reference system is necessary for managing pavement evaluations and maintenance. The length of the pavement section selected for evaluation may have a significant impact on the assessment irrespective of the type of performance indices. In Ontario, the highway section lengths range from 50m to 50,000m. For this reason, a variability in performance evaluation is investigated due to changes in section length. This study considers rut depth, Pavement Condition Index (PCI), and International Roughness Index (IRI) as performance indices. The distributions of these indices are compared by the following groupings of section lengths: 50m, 500m, 1,000m and 10,000m. The variations of performance assessments due to changing section lengths are investigated based on their impact on maintenance decisions. A Monte Carlo simulation is carried out by varying section lengths to estimate probabilities of maintenance work requirements. Results of such empirical investigations reveal that most of the longer sections are evaluated with low rut depth and the shorter sections are evaluated with high rut depth. This Monte Carlo simulation also reveals that 50m sections have a higher probability of maintenance requirements than 500m sections. The method of estimating performance indices is also investigated to identify the requirement of improvement in estimation of the prediction models. Generally, in a PMS, the prediction models of Key Performance Indicators (KPIs) are estimated by using the Ordinary Least Square (OLS) approach. However, the OLS approach can be inefficient if unobserved factors influencing individual KPIs are correlated with each other. For this reason, regression models for KPI predictions are estimated by using an approach called the 'Seemingly Unrelated Regression (SUR)' method. The M-E approach is used in this study to predict the future distresses by employing mechanistic-empirical models to analyze the impact of traffic, climate, materials and pavement structure. The Mechanistic-Empirical Pavement Design Guide (MEPDG) software uses a three-level hierarchical input to predict performance in terms of IRI, permanent deformation (rut depth), total cracking (reflective and alligator), asphalt concrete (AC) thermal fracture, AC bottom-up fatigue cracking and AC top-down fatigue cracking. However, these inputs have different levels of accuracy, which may have a significant impact on performance prediction. It would be ineffective to put effort for obtaining accuracy at Level 1 for all inputs. For this reason, a sensitivity analysis is carried out based on an experimental design to identify the effect of the accuracy level of inputs on the distresses. Following this, a local sensitivity analysis is carried out to identify the main effect of input variables. Interaction effects are also analyzed based on a random combination of the inputs. Since the deterioration of pavement is affected by site-specific traffic, local climate and properties of materials, these variables are carefully considered during the development of the pavement deterioration model to assess overall pavement conditions. The prediction model is developed by using a regression approach considering distresses of the M-E approach. In this study, the deterioration model is estimated for three groups of Annual Average Daily Traffic (AADT) to recognize their individual impact along with properties of materials. The time required for maintenance is also estimated for these categories. The investigations reveal that the expected time to maintenance for overlay with Dense Friction Course (DFC) and Superpave mixes is higher than other Hot Laid (HL) asphalt layers. This will help pavement designers and managers to make informed decisions. The probability of failure is also investigated by a probabilistic approach. With the increasing trend towards M&R of existing pavements, it is essential to make cost-effective use of the M&R budget. As such, identification of associated cost-effective M&R treatments is not always simple in most PMS. For this reason, a LCCA is carried out for alternate pavement treatments using the deterioration model based on traffic levels and material types. Comparing the Net Present Worth (NPW) value of alternative treatment options reveals that the overlay of pavement with DFC is the most cost-effective choice in the case of higher AADT. On the other hand, overlay with Hot Laid-1 (HL-1) is a cost-effective treatment option for highway sections with lower AADT. Although the results are related to the Ontario highway system, this can also be applied elsewhere with similar conditions. The outcome of the empirical investigations will result in the adoption of efficient road M&R programs for highways based on realistic performance predictions, which have significant impact on infrastructure asset management.

Author: Maurizio Crispino
Publisher: CRC Press
ISBN: 0429559720
Category : Technology & Engineering
Languages : en
Pages : 847

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Book Description
Pavement and Asset Management contains contributions from the World Conference on Pavement and Asset Management (WCPAM 2017, Baveno, Italy, 12-16 June 2017). For the first time, the European Pavement and Asset Management Conference (EPAM) and the International Conference on Managing Pavement Assets (ICMPA) were joining forces for a global event that aimed not only at academics and researchers, but also at practitioners, engineers and technicians dealing with everyday tasks and responsibilities related to transport infrastructures pavement and asset management. Pavement and Asset Management covers a wide range of topics, from emerging research to engineering practice, and is grouped under the following themes: - Data quality and monitoring - Economics, political and environmental management, strategies - Deterioration models - Key performance indicators - PMS-case studies - Design and materials - M&R treatments - LCA & LCCA - Risk and safety - Bridge and tunnel management - Smart infrastructure and IT Pavement and Asset Management will be valuable to academics and professionals interested and/or involved in issues related to transport infrastructures pavement and asset management.

Author: Gerardo W. Flintsch
Publisher: Transportation Research Board
ISBN: 0309142474
Category : Technology & Engineering
Languages : en
Pages : 154

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Author: Eddie Chou
Publisher:
ISBN:
Category : Markov processes
Languages : en
Pages : 222

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Book Description
The primary objectives of this study were to develop models to forecast future pavement conditions and to determine remaining service life of pavements based on the forecasted conditions. Based on available data in the ODOT pavement database, which contains the condition history of each pavement section, along with its location, year of construction, thickness, materials used, climate, and rehabilitation records, individual regression, family regression, and Markov probabilistic models were developed . For the latter two models, pavements were first grouped into "families" with similar characteristics, based on pavement type, priority, District location, and past performance. Forecasting models were then developed for each such "family." The developed models were evaluated by comparing the predicted conditions with the actual observed conditions for the five year period between 2001 and 2005. The Markov model was found to have the highest overall prediction accuracy among all the models evaluated, and it can also predict future distresses in addition to the PCR values. As a result of this study, ODOT can forecast future pavement conditions and estimate the remaining service life of pavements. Future rehabilitation needs can also be determined. Such capabilities will significantly benefit planning and management decision-makings at both project and network levels

Author: Waleed Aleadelate
Publisher:
ISBN: 9781369182064
Category : Pavements
Languages : en
Pages : 122

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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: American Association of State Highway and Transportation Officials
Publisher: AASHTO
ISBN: 156051499X
Category : Business & Economics
Languages : en
Pages : 458

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Book Description
Aims to encourage transportation agencies to address strategic questions as they confront the task of managing the surface transportation system. Drawn form both national and international knowledge and experience, it provides guidance to State Department of Transportation (DOT) decision makers, as well as county and municipal transportation agencies, to assist them in realizing the most from financial resources now and into the future, preserving highway assets, and providing the service expected by customers. Divided into two parts, Part one focuses on leadership and goal and objective setintg, while Part two is more technically oriented. Appendices include work sheets and case studies.