Development of a unique deterioration index, prioritization methodology, and foreign object damage evaluation models for Canadian airfield pavement management

2004 ◽  
Vol 31 (4) ◽  
pp. 608-618 ◽  
Author(s):  
Anwar Shah ◽  
Susan Tighe ◽  
Allen Stewart
Keyword(s):  
Prediction Models ◽  
Pavement Management ◽  
Pavement Performance ◽  
Management Systems ◽  
Foreign Object ◽  
Foreign Object Damage ◽  
Condition Rating ◽  
Airport Pavement ◽  
Pavement Management Systems ◽  
Evaluation Models

Modelling of pavement performance deterioration is a critical engineering process in Pavement Management Systems. Most of the existing Airport Pavement Management Systems (APMS) employ limited surface distresses in their performance evaluation models. These systems may not serve the objectives of some agencies. It is essential for an effective APMS to include evaluation models that adequately address the specific needs of the agency. This paper presents the development of a unique pavement deterioration index, i.e., the Condition Rating Index, developed for 1 Canadian Air Division (1 CAD). This index is modelled to serve the specific needs of 1 CAD effectively. Performance prediction models for the various classes of pavements are developed based on Markov Chains. The prioritization methodology employed also reflects the needs of 1 CAD. Consequently, this paper investigates the quantification and prediction of Foreign Object Damage (FODp). The FODp Index is developed as well as defined. Prediction models for FODp are developed along with the establishment of critical states of the FODp Index.Key words: airport pavement management system, Condition Rating Index, pavement performance evaluation models, Foreign Object Damage, 1 Canadian Air Division.

Pavement Management Systems: Past, Present, and Future

2003 ◽  
Vol 1853 (1) ◽  
pp. 65-71 ◽  
Author(s):  
Ram B. Kulkarni ◽  
Richard W. Miller
Keyword(s):  
Performance Prediction ◽  
Prediction Models ◽  
Pavement Management ◽  
Pavement Performance ◽  
Management Systems ◽  
Seamless Integration ◽  
Positioning Systems ◽  
Pavement Management Systems ◽  
Transportation Organization ◽  
Pavement Performance Prediction

The progress made over the past three decades in the key elements of pavement management systems was evaluated, and the significant improvements expected over the next 10 years were projected. Eight specific elements of a pavement management system were addressed: functions, data collection and management, pavement performance prediction, economic analysis, priority evaluation, optimization, institutional issues, and information technology. Among the significant improvements expected in pavement management systems in the next decade are improved linkage among, and better access to, databases; systematic updating of pavement performance prediction models by using data from ongoing pavement condition surveys; seamless integration of the multiple management systems of interest to a transportation organization; greater use of geographic information and Global Positioning Systems; increasing use of imaging and scanning and automatic interpretation technologies; and extensive use of formal optimization methods to make the best use of limited resources.

scholarly journals Calibration of HDM4 for Use in Pavement Management Systems (PMS)

2009 ◽  
Vol 32 (2) ◽  
pp. 103-113
Author(s):  
N.K. Mushule
Keyword(s):  
Developing Countries ◽  
Large Scale ◽  
Field Experiments ◽  
Developed Countries ◽  
Pavement Management ◽  
Pavement Performance ◽  
Management Systems ◽  
Local Conditions ◽  
Road Management ◽  
Pavement Management Systems

One of major problems of road management in developing countries is the lack of decision making toolsfor preparing road maintenance programmes. This results in poor resource allocation and poor utilisationof existing assets. Pavement management systems (PMS) have been developed around the world in order to assist with the pavement management process in a co-ordinated and systematic manner. Some developed countries have derived pavement performance models that are suited to local conditions by setting up long term pavement performance studies. Conversely, most developing countries do not have the resources required to set up similar large-scale field experiments. However, validation and calibration of models developed from comprehensive studies elsewhere offers a viable lternative for such countries. This paper evaluates the feasibility of using HDM-4 as a support software and determines level 1 calibration factors for PMS in Tanzania. The paper demonstrates the use of a calibrated HDM-4 to determine the required road management information in developing countries.

Developing Performance Prediction Models for Pavement Management Systems in Local Governments in Absence of Age Data

2019 ◽  
Vol 2673 (3) ◽  
pp. 334-341 ◽  
Author(s):  
Nima Kargah-Ostadi ◽  
Yuxiao (Mina) Zhou ◽  
Tahmidur Rahman
Keyword(s):  
Performance Prediction ◽  
Local Governments ◽  
Regression Models ◽  
Prediction Models ◽  
Transition Probability ◽  
Pavement Management ◽  
Management Systems ◽  
Deterioration Rate ◽  
Pavement Management Systems ◽  
The Difference

Pavement Management Systems (PMS) use a strategic and data-driven approach to optimize budget allocation to various maintenance and rehabilitation (M&R) projects. Performance prediction models are used in PMS to determine the optimum timing for M&R interventions on every pavement section. Many local roadway agencies use empirical regression models which are based on past condition and age data. Often, these agencies are faced with limited resources for data collection and a high staff turnover rate, which all result in inadequate or unreliable construction history and pavement age data. This paper recommends a simple practical approach for local governments to develop performance prediction models in the absence of reliable pavement age data. Also, best practices for data pre-processing and validation of the model prediction capability are synthesized. Instead of using regression models based on condition and age, the pavement deterioration rate at each condition level is estimated. Similar to the Markovian transition probability concept, it is assumed that deterioration rates for every family of pavements are independent of time and only dependent on the current condition level. For every pair of subsequent condition measurements on a section, the difference in condition score is normalized by the difference in measurement time. These deterioration rates are then classified into bins based on the initial condition level for every pair of measurements. The average deterioration rate for all data records in each bin is then used to build a deterioration curve. This approach is demonstrated in this paper using real but anonymous agency data.

scholarly journals An overview of the airport pavement management systems (APMS)

2020 ◽  
Vol 13 (6) ◽  
pp. 581-590
Author(s):  
Md. Tofail Miah ◽  
Erwin Oh ◽  
Gary Chai ◽  
Phil Bell
Keyword(s):  
Implementation Process ◽  
Cost Effective ◽  
Pavement Management ◽  
Management Systems ◽  
Extensive Literature ◽  
Pavement Maintenance ◽  
Study Approach ◽  
Airport Pavement ◽  
Pavement Management Systems ◽  
Optimum Cost

AbstractAirport Pavement Management System (APMS) is a useful tool, including a set of procedures for collecting, analyzing, maintaining, and reporting pavement data, thus assisting airports in finding optimum cost-effective treatments to preserve their pavement assets. The paper provides an in-depth overview of the APMS from an extensive literature review with the aim to identify numerous issues within APMS, such as the components, Pavement Condition Indices, software utilization, and the comprehensive implementation process. The methodology adopted for this research is a descriptive-based study approach on the various airport pavement manuals, guidelines and advisory circulars, journal articles, and book publications for the APMS applications. The airport pavement management systems and the case studies in various airports internationally will be included in the review. The study includes various subjects such as major components, benefit and cost approach, management in different levels, software utilization, maintenance, and rehabilitation (M&R) policies in the implementation of the APMS. Additionally, the research examines the pavement performance indicators that are the key elements for evaluating pavement conditions. Besides, the APMS software programs can store historical information, analyze data, develop models, and generate reports for M&R in association with the budget, including estimating future pavement life. The study summarizes the condition data required for the implementation and operation of an APMS, as well as the information generated by the APMS. The review highlights the benefits of an APMS in providing the airport operators and engineers far more informed position for decision-making to forecast future pavement maintenance requirements for an adequate and timely M&R.

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