Pavement maintenance practices of low-volume roads and potential enhancement: the regional experience of Colorado pavement management system

2019 ◽  
pp. 1-14
Author(s):  
Marwan Hafez ◽  
Khaled Ksaibati ◽  
Rebecca Atadero
Keyword(s):  
Management System ◽  
Pavement Management ◽  
Pavement Management System ◽  
Pavement Maintenance ◽  
Low Volume Roads ◽  
Low Volume

scholarly journals Developing Pavement Distress Deterioration Models for Pavement Management System Using Markovian Probabilistic Process

2017 ◽  
Vol 2017 ◽  
pp. 1-9 ◽  
Author(s):  
Promothes Saha ◽  
Khaled Ksaibati ◽  
Rebecca Atadero
Keyword(s):  
Markov Process ◽  
Management System ◽  
Probabilistic Models ◽  
Pavement Management ◽  
Coefficient Of Determination ◽  
Pavement Management System ◽  
Pavement Distress ◽  
Low Volume Roads ◽  
Regression Techniques ◽  
Low Volume

In the state of Colorado, the Colorado Department of Transportation (CDOT) utilizes their pavement management system (PMS) to manage approximately 9,100 miles of interstate, highways, and low-volume roads. Three types of deterioration models are currently being used in the existing PMS: site-specific, family, and expert opinion curves. These curves are developed using deterministic techniques. In the deterministic technique, the uncertainties of pavement deterioration related to traffic and weather are not considered. Probabilistic models that take into account the uncertainties result in more accurate curves. In this study, probabilistic models using the discrete-time Markov process were developed for five distress indices: transverse, longitudinal, fatigue, rut, and ride indices, as a case study on low-volume roads. Regression techniques were used to develop the deterioration paths using the predicted distribution of indices estimated from the Markov process. Results indicated that longitudinal, fatigue, and rut indices had very slow deterioration over time, whereas transverse and ride indices showed faster deterioration. The developed deterioration models had the coefficient of determination (R2) above 0.84. As probabilistic models provide more accurate results, it is recommended that these models be used as the family curves in the CDOT PMS for low-volume roads.

Using Decision Tree for Data Mining of Pavement Maintenance and Management

2013 ◽  
Vol 330 ◽  
pp. 1015-1019 ◽  
Author(s):  
Jyh Dong Lin ◽  
Wei Hsing Huang ◽  
Chia Tse Hung ◽  
Chien Ta Chen ◽  
Jih Chiang Lee
Keyword(s):  
Data Mining ◽  
Decision Tree ◽  
Management System ◽  
Measurement Data ◽  
Milling Process ◽  
Pavement Management ◽  
Data Mining Algorithm ◽  
Pavement Management System ◽  
Pavement Maintenance ◽  
System Integrity

In recent years advancements in the Information Technology (IT), have enabled automation of pavement measurement data. A large amount of data can be saved for a pavement management system. The study of pavement maintenance and management has include many methods, such as expert system, decision support analysis and data mining (DM) . In this study we use decision tree for data mining algorithm C5.0 has been used in this analysis. After acceptance of the decision tree, we make use of algorithms and computing for classification. This method is used to check the pavement management system database and make a comparison of all data. The result shown a correct classification of about 61% its still improved space. According to this result we discuss three analysis results included: 1.Database information is correct or not 2.Road pavement never homogenization 3.Milling process never remove human factor. Finally useful pavement information and ways can improve system integrity and correctly.

scholarly journals Low-Cost Pavement Management System for Developing Countries

2021 ◽  
Vol 13 (11) ◽  
pp. 5941
Author(s):  
Shabir Hussain Khahro ◽  
Zubair Ahmed Memon ◽  
Lillian Gungat ◽  
Muhamad Razuhanafi Mat Yazid ◽  
Abdur Rahim ◽  
...  
Keyword(s):  
Developing Countries ◽  
Management System ◽  
Low Cost ◽  
Pavement Management ◽  
Qualitative Assessment ◽  
Pavement Management System ◽  
Pavement Maintenance ◽  
Sensitivity Assessment ◽  
Network Process ◽  
Fishbone Diagram

Governments face numerous challenges in sustaining road network conditions. This is attributed to road authorities’ shortages of financial and physical infrastructure. As a result, low-cost automated solutions are being pursued to solve these problems and provide people with appropriate road conditions. Several attempts have been made to improve these technologies and incorporate them into a Pavement Management System (PMS) but limited attempts are made for developing countries. This study aimed to design a low-cost pavement management system for flexible pavement maintenance. A detailed literature review has been carried out, followed by a qualitative assessment of the various indicators considered for PMS. The priority ranks of the PMS indicators were made using an Analytical Network Process (ANP) and each rank was validated by a sensitivity assessment test using the Super Decision-Making tool. This paper also provides the conceptual framework for the low-cost PMS, followed by a fishbone diagram of the indicators and sub-indicators. It is concluded that an emergency maintenance plan with an ANP weight of (0.41) is one of the most significant plans for a low-cost PMS, followed by a routine with an ANP weight of (0.39) and periodic maintenance plans with a (0.20) ANP weight. Moreover, the functional indicators with an ANP weight of (0.32) are the most significant indicators for a low-cost PMS, followed by structural (0.26), safety (0.24), and serviceability(0.18) indicators. This model will assist the road planners in making better decisions on pavement maintenance management plans. The model will suggest the pavement sections on a higher priority to be added in the maintenance plans, especially where the maintenance budget is limited.

scholarly journals Proposal and Implementation of a Heliport Pavement Management System: Technical and Economic Comparison of Maintenance Strategies

2021 ◽  
Vol 13 (16) ◽  
pp. 9201 ◽  
Author(s):  
Paola Di Mascio ◽  
Alessio Antonini ◽  
Piero Narciso ◽  
Antonio Greto ◽  
Marco Cipriani ◽  
...  
Keyword(s):  
Management System ◽  
Condition Index ◽  
Pavement Management ◽  
Pavement Management System ◽  
Pavement Condition ◽  
Airport Pavement ◽  
Maintenance And Rehabilitation ◽  
Pavement Condition Index ◽  
Rotary Wing ◽  
Economic Comparison

Maintenance and rehabilitation (M&R) scheduling for airport pavement is supported by the scientific literature, while a specific tool for heliport pavements lacks. A heliport pavement management system (HPMS) allows the infrastructure manager to obtain benefits in technical and economic terms, as well as safety and efficiency, during the analyzed period. Structure and rationale of the APSM could be replicated and simplified to implement a HPMS because movements of rotary-wing aircrafts have less complexity than fixed-wing ones and have lower mechanical effects on the pavement. In this study, an innovative pavement condition index-based HPMS has been proposed and implemented to rigid and flexible surfaces of the airport of Vergiate (province of Varese, Italy), and two twenty-year M&R plans have been developed, where the results from reactive and proactive approaches have been compared to identify the best strategy in terms of costs and pavement level of service. The result obtained shows that although the loads and traffic of rotary-wing aircrafts are limited, the adoption of PMS is also necessary in the heliport environment.

Sign in / Sign up

Export Citation Format

Share Document