scholarly journals Study of Site-Specific Roughness Progression for a Bitumen-Sealed Unbound Granular Pavement Network

2003 ◽  
Vol 1819 (1) ◽  
pp. 273-281 ◽  
Author(s):  
P. D. Hunt ◽  
J. M. Bunker
Keyword(s):  
Road Network ◽  
Network Performance ◽  
Comprehensive Evaluation ◽  
Average Rate ◽  
Pavement Management ◽  
Pavement Performance ◽  
Pavement Condition ◽  
Pavement Maintenance ◽  
Pavement Management Systems ◽  
Economic Analyses

Pavement management systems assist engineers in the analysis of road network pavement condition data and subsequently provide input to the planning and prioritization of road infrastructure works programs. The data also provide input to a variety of engineering and economic analyses that assist in determining the future road network condition for a range of infrastructure-funding scenarios. The fundamental calculation of future pavement condition is commonly based on a pavement age versus pavement roughness relationship. However, roughness–age relationships commonly do not take into account the pavement’s historical performance; rather, an “average” rate of roughness progression is assigned to each pavement based on its current age or current roughness measurement. Results of a research project are documented; the project involved a comprehensive evaluation of pavement performance by examining roughness progression over time with other related variables. A method of calculating and effectively displaying roughness progression and the effects of pavement maintenance was developed. The method provides a better understanding of pavement performance, which in turn led to a methodology of calculating and reporting road network performance for application to the pavement design and delivery system in Queensland, Australia. Means of using this information to improve the accuracy of roughness progression prediction were also investigated.

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.

Incorporating bicycling demand into pavement management systems for convenient bikeway networks

2020 ◽  
Vol 47 (6) ◽  
pp. 759-770
Author(s):  
Feras Elsaid ◽  
Luis Amador-Jimenez ◽  
Ciprian Alecsandru
Keyword(s):  
Pavement Management ◽  
Management Systems ◽  
Pavement Condition ◽  
Pavement Management Systems ◽  
Strategic Plans ◽  
Maintenance And Rehabilitation ◽  
The World ◽  
Gps Trajectories

Several cities around the world have announced strategies to extend and (or) upgrade their bikeway networks in response to the rapid increase of bicycle users. However, there is a disconnection between these strategies and management systems, often used for the scheduling of maintenance and rehabilitation of roads. Traditional pavement management systems fail to incorporate bicycle pathways considering bicycling demand, along with pavement condition, as a driving element to budget for improvements. More convenient and safer bicycling facilities can encourage more individuals to shift their daily commuting habits to bicycling. In this study, we incorporate bicycling demand into pavement management systems to produce strategic plans for the maintenance and improvement of the bicycle networks. Furthermore, here we employ smartphones to represent bicycling demand using GPS trajectories of bicycles. In addition, goal optimization is applied to schedule interventions and improvements. Two scenarios are investigated with different annual budgets.

VB on the Highway Pavement Performance Prediction and Optimization of Maintenance Programs

2011 ◽  
Vol 90-93 ◽  
pp. 2015-2019
Author(s):  
Pei Feng Cheng ◽  
Qian Qian Zhao
Keyword(s):  
Original Data ◽  
Economic Benefits ◽  
Pavement Performance ◽  
Dynamic Programming Method ◽  
Pavement Condition ◽  
Pavement Maintenance ◽  
Module Prediction ◽  
Evaluation Module ◽  
Pavement Performance Prediction ◽  
Maintenance Plan

Highway maintenance is the main new task after highway construction. In order to predict pavement performance reasonably, and choose the most reasonable maintenance plan, based on investigating and inspecting the pavement condition , use computer language of VB from inputting the data module, establishing evaluation module, maintenance module, prediction module, economic evaluation module and statements processing module of pavement maintenance management system. Put the original data into this system. The system can predict pavement performance and choose maintenance scheme automatically, and use multi-objective optimization model, the effect of the definition and dynamic programming method to optimize the scientific and reasonable maintenance plan, which is from technical and economic aspects to realize by using the limited maintenance funds to achieve the best maintenance effect and to obtain the biggest social and economic benefits.

Comprehensive Evaluation on Technical Economic Performance and Scheme Optimization for Asphalt Mixture

2011 ◽  
Vol 328-330 ◽  
pp. 1287-1291
Author(s):  
Zhong Da Chen ◽  
Lei Xing ◽  
Wei Wang
Keyword(s):  
Economic Performance ◽  
Cost Estimation ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Asphalt Mixture ◽  
Decision Function ◽  
Pavement Performance ◽  
Pavement Maintenance ◽  
Harmonic Factor ◽  
Managerial System

The pavement performance of asphalt mixture and its adaptability to features of application area, cost estimation and harmonic relationship between performance and cost were studied and analyzed in this paper, evaluation model of technical and economic performance of asphalt mixture was constructed, evaluating indicators of technical and economic performance of asphalt mixture as performance matching coefficient, cost conversion demarcation coefficient and harmonic factor of performance and cost and corresponding calculation methods were proposed. On this basis, discrimination function of performance and cost was built to provide theoretical basis and decision support for selecting a satisfactory asphalt mixture scheme which had the best pavement performance and economic performance under certain natural and constraint conditions, it can provide a reference for the development of assist decision function of managerial system of pavement maintenance as well.

The Application of Extension Theory on Pavement Performance Evaluation

2010 ◽  
Vol 168-170 ◽  
pp. 111-115
Author(s):  
Cheng Ling ◽  
Lan Zhou ◽  
Fan Gu
Keyword(s):  
Performance Evaluation ◽  
Evaluation Model ◽  
Extension Theory ◽  
Pavement Performance ◽  
Pavement Condition ◽  
Pavement Maintenance ◽  
Model Based ◽  
General Evaluation ◽  
Conservation Plan ◽  
Solid Foundation

Pavement performance evaluation is a reasonable safeguard for the conservation plan and an important basis for investment decisions. In order to obtain a precise and quantitative evaluation result, a general evaluation model based on Extension Theory is established, and a concrete index is raised to indicate the pavement real condition. Practical pavement detection data of Jing-hu highway in Jiangsu Province is used to validate this model. The result shows that the evaluation model based on Extension Theory gives an accurate evaluation on pavement performance, and reflects the pavement condition well. It could provide solid foundation for pavement maintenance orders, and may have a bright future.

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.

scholarly journals Flexible Pavement Performance Evaluation in Ontario: an Overview

2021 ◽  
Author(s):  
Muzaffar Hassan
Keyword(s):  
Management System ◽  
Prediction Models ◽  
Pavement Management ◽  
Pavement Performance ◽  
Ride Quality ◽  
Physical Parameters ◽  
Pavement Management System ◽  
Pavement Condition ◽  
Pavement Distress ◽  
Verification Techniques

Measuring pavement performance is a major component of the pavement management system. It assists in decision-making for finding the optimum strategies to provide, evaluate, and maintain serviceability in an acceptable condition cost effectively. The Ontario Ministry of Transportation (MTO) has been systematically rating pavement performance since the mid-1960s. Pavement condition survey involves measurement of two physical parameters: ride quality of pavement surfaces, and the extent and severity of pavement distress manifestations. The pavement ride quality can be measured with an acceptable level of consistency and repeatability through automation. However, achieving consistency in the evaluation of pavement distress manifestations is a challenging task because the automation that could accurately and consistently detect, quantify and record surface distresses is not fully developed is spite of rapid advances in video imagery and non-contact sensing devices. This report evaluates the progress made over the past three decades in the key areas of Distress Manifestation Index, Riding Comfort Rating, Pavement Condition Index and second generation Pavement Management System (PMS2). A review of the Ministryʼs network-level pavement performance database is presented, emphasizing pavement condition surveys, prediction models and main factors influencing assessment of long-term pavement performance. Several key issues related to the quality control and quality assurance of the pavement roughness are discussed with reference to the verification techniques used by the MTO. Based on the literature review, future recommendations for possible improvements of the prediction models and techniques used for the evaluation of pavement performance are presented in order to obtain more consistent values.

scholarly journals Comparison of Pavement Performance Models for Urban Road Management System

2020 ◽  
Vol 15 (3) ◽  
pp. 111-129
Author(s):  
Igoris Kravcovas ◽  
Audrius Vaitkus ◽  
Rita Kleizienė
Keyword(s):  
Bearing Capacity ◽  
Management System ◽  
Condition Index ◽  
Performance Model ◽  
Pavement Management ◽  
Pavement Performance ◽  
Performance Models ◽  
Climate Conditions ◽  
Pavement Condition ◽  
Pavement Performance Model

The key factors for effective pavement management system (PMS) are timely preservation and rehabilitation activities, which provide benefit in terms of drivers’ safety, comfort, budget and impact on the environment. In order to reasonably plan the preservation and rehabilitation activities, the pavement performance models are used. The pavement performance models are usually based on damage and distress observations of rural roads, and can be applied to forecast the performance of urban roads. However, the adjustment of the parameters related to traffic volume, speed and load, climate conditions, and maintenance has to be made before adding them to PMS for urban roads. The main objective of this study is to identify the performance indicators and to suggest pavement condition establishment methodology of urban roads in Vilnius. To achieve the objective, the distresses (rut depth and cracks), bearing capacity, and international roughness index (IRI) were measured for fifteen urban roads in service within a two-year period. The distresses, rut depth and IRI were collected with the Road Surface Tester (RST) and bearing capacity of pavement structures were measured with a Falling Weight Deflectometer (FWD). The measured distresses were compared to the threshold values identified in the research. According to the measured data, the combined pavement condition indices using two methodologies were determined, as well as a global condition index for each road. The analysed roads were prioritized for maintenance and rehabilitation in respect to these criteria. Based on the research findings, the recommendations for further pavement condition monitoring and pavement performance model implementation to PMS were highlighted.

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