scholarly journals Pavement condition and traffic indices for prioritizing road maintenance

Author(s):  
Georgios Hadjidemetriou ◽  
Michalis Tsangaris ◽  
Symeon Christodoulou
2018 ◽  
Vol 162 ◽  
pp. 01044 ◽  
Author(s):  
Hussein Ali Ewadh ◽  
Raid Almuhanna ◽  
Saja Alasadi

Increased demand for efficient maintenance of the existing roadway system needs optimal usage of the allocated funds. The paper demonstrates optimized methods for prioritizing maintenance implementation projects. A selected zone of roadway system in Kerbala city represents the study area to demonstrate the application of the developed prioritization process. Paver system PAVER integrated with GIS is used to estimate and display the pavement condition index PCI, thereby to establish a priority of maintenance. In addition to simple ranking method by PCI produced by the output of PAVER, the paper introduces PCI measure for each section of roadway. The paper introduces ranking by multiple measures investigated through expert knowledge about measures that affect prioritization and their irrespective weights due to a predesigned questionnaire. The maintenance priority index (MPI) is related to cost of suitable proposed maintenance, easiness of proposed maintenance, average daily traffic and functional classification of the roadway in addition to PCI. Further, incremental benefit-cost analysis ranking provide an optimized process due to benefit and cost of maintenance. The paper introduces efficient display of layout and ranking for the selected zone of roadway system based on MPI index and incremental BCR method. Although the two developed methods introduce different layout display for priority, statistical test shows that no significant difference between ranking of all methods of prioritization.


2011 ◽  
Vol 250-253 ◽  
pp. 3688-3691
Author(s):  
Jr Hung Peng ◽  
Po Hsun Sung ◽  
Jyh Dong Lin ◽  
Kuang Yi Wei

The urban road becoming more perfect, pavement engineering is from new construction to maintenance management. The authorities, from acceptance the new construction turn into survey of the road‘s situation and control of various types of damage and road conditions on time, to maintain a good condition of the road. In this study we use the CCD with the general Global Positioning System to provide GPS coordinates and have a street shooting for each 20m of road, record of the CCD road imaging system, and with GPS coordinates, the street pavement shooting can identify the highest frequency distress type within 100m of the road, and compare with the value of IRI for statistics, considering different distress conditions associated with the International Roughness Index, and to explore the causes. This study has an Urban Road Management System, it divided into road flat index query and pavement condition index query, and user can use this system know the pavement condition every section. The road maintenance unit can be judged by this indicator status of pavement roughness to develop a conservation strategy of each section, reflecting the degree of conservation of each section, making the pavement to maintain a good quality. Urban road maintenance management system is for the each authorities built the road pavement maintenance management system for pavement managers with different levels of management authority, and to assist in the system can provide information for urban roads to do planning, query and management, it is beneficial to the authorities to implementation of urban roads and other road maintenance operations, they can immediately understand the pavement condition.


2020 ◽  
Vol 15 (1) ◽  
pp. 126-146 ◽  
Author(s):  
Saleh Abu Dabous ◽  
Ghadeer Al-Khayyat ◽  
Sainab Feroz

Pavement maintenance and rehabilitation are expensive activities and the available budget to manage the existing pavement infrastructure is limited. Managers require a prioritization method to assist them in selecting the most appropriate maintenance options. Maintenance prioritization is necessary to maintain pavement sections at acceptable service levels within the given budget and resource constraints. In this paper, a utility approach is proposed for maintenance prioritization purposes based on the condition assessment results of the pavement sections. A pavement network of five sections is considered in this study, and a numerical example is illustrated considering one section to show the implementation of the utility approach for section ranking. The overall assessment of various pavement sections was provided by the inspector as degrees of belief in seven assessment grades, which are: A (Good), B (Satisfactory), C (Fair), D (Poor), E (Very poor), and F (Serious). The assessment of pavement condition and the estimated grade utilities are used to calculate maximum, minimum, and average utilities for each of the five pavement sections. Based on the results, the pavement sections are ranked for maintenance and rehabilitation actions.


2019 ◽  
Vol 5 (1) ◽  
pp. 4
Author(s):  
Mario Manosalvas-Paredes ◽  
Ronald Roberts ◽  
Maria Barriera ◽  
Konstantinos Mantalovas

Road agencies are constantly being placed in difficult situations when making road maintenance and rehabilitation decisions as a result of diminishing road budgets and mounting environmental concerns for any chosen strategies. This has led practitioners to seek out new alternative and innovative ways of monitoring road conditions and planning maintenance routines. This paper considers the use of innovative piezo-floating gate (PFG) sensors and conventional strain gauges to continuously monitor the pavement condition and subsequently trigger maintenance activities. These technologies can help develop optimized maintenance strategies as opposed to traditional ad-hoc approaches, which often lead to poor decisions for road networks. To determine the environmental friendliness of these approaches, a case study was developed wherein a life cycle assessment (LCA) exercise was carried out. Observations from accelerated pavement testing over a period of three months were used to develop optimized maintenance plans. A base case is used as a guide for comparison to the optimized systems to establish the environmental impacts of changing the maintenance workflows with these approaches. On the basis of the results, the proposed methods have shown that they can, in fact, produce environmental benefits when integrated within the pavement management maintenance system.


2018 ◽  
Vol 2018 ◽  
pp. 1-17 ◽  
Author(s):  
Nhat-Duc Hoang ◽  
Quoc-Lam Nguyen

Effective road maintenance requires adequate periodic surveys of asphalt pavement condition. The manual process of pavement assessment is labor intensive and time-consuming. This study proposes an alternative for automating the periodic surveys of pavement condition by means of image processing and machine learning. Advanced image processing techniques including fast local Laplacian filter, Sobel filter, steerable filter, and projection integral are employed for image enhancement and analysis to extract useful features from digital images. Based on the features produced by these image processing techniques, adaptive boosting classification tree is used to perform pavement crack recognition tasks. A dataset of image samples consisting of five classes (alligator crack, diagonal crack, longitudinal crack, noncrack, and transverse crack) has been collected to construct and verify the performance of the adaptive boosting classification tree. The experimental results show that the proposed approach has achieved a high crack classification accuracy which is roughly 90%. Therefore, the newly developed model is a promising alternative to help transportation agencies in pavement condition evaluation.


2017 ◽  
Vol 2 (2) ◽  
pp. 187
Author(s):  
Rizky Ardhiarini

The enhancement of connectivity between the main corridors of the economy in South Sumatera, as a purpose of the StrategicPlan of Directorate General Bina Marga and also an objective of MP3EI, Master Plan for Acceleration and Expansion ofIndonesia's Economic Development which is an ambitious plan by the Indonesian government to accelerate the realization ofbecoming a developed country would be able to achieve on the requirement of good condition on performance and pavement. Inorder to support the optimal condition of the road, the identification of road management was conducted to determine thenecessity of road maintenance based on technical conditions and importance level of development of the road traversed. Themanagement program proposed is expected to be used as a baseline in determining the maintenance of the road network in SouthSumatera from 2015 until 2019. This research used Multi-criteria Analysis (MCA) method, which consists of: (1) road networkperformance, covering width of roadways, traffic flow, V/C ratio, travel speed and travel time of the vehicle, and (2) pavementcondition, with IRI, SDI, and the proportion of good pavement condition as a parameter. Multi-criteria analysis used combinedroad condition assessment score and importance level of development of the area traversed by. This analysis was conductedfrom 2015 until 2019. The research concluded that maintenance necessity in 2015 were dominated by routine maintenance(95.86% of the total length), then in 2016 until 2019 the needs were dominated by routine maintenance (near 100% of the totallength). As the maintenance applied, a vast amount of total road length fulfilled as an achievement target. The results arefollows: (a) 100% with width of roadways ≥ 7 meter, (b) 97.83% with V/C ratio < 0.75, (c) 18.50% with travel speed >60km/hour, (d) 17.32% with travel time (TT) < 1.6 jam/100km, (e) 100% with good pavement condition > 95%, (f) 90.37% withIRI < 4 m/Km, and (g) 91.59 with SDI < 50. Yet with the achievement of 100% of total road length with a minimum width 7.0meter, and 90.37% of total road length with an IRI less than 4.0 m/km in 2019, the impact was not significant on increasinglength of the road with a travel time (TT) less than 1.6 jam/100km. The condition is caused by there are no maintenancerequirements concerning the improvement of the substandard road geometric.


2016 ◽  
Vol 11 (3) ◽  
pp. 242-249 ◽  
Author(s):  
Audrius Vaitkus ◽  
Donatas Čygas ◽  
Algirdas Motiejūnas ◽  
Algis Pakalnis ◽  
Dainius Miškinis

The roads as main national assets maintenance costs increase dramatically but budgets stays as it is or even decrease over the years. However, at the same time, it is required to maintain road pavements condition at high level. These trends make asset owners and administrators to search for new ways and methods for more efficient roads maintenance management. As the new road is build or old one reconstructed performance indicators should be identified for whole life cycle as it is defined by design. Pavement condition evaluation by indicating present performance indicators level should be done timely and accurate at road level and whole network level. Ongoing support of pavement condition under network level, with a long-term strategy, allows to prolong the life of the pavement, improve traffic safety and meet public expectations. The comprehensive analysis of road maintenance and management systems recommendations for their improvement and application are presented in the article.


Author(s):  
Fareed M. A. Karim ◽  
Khaled Abdul Haleem Rubasi ◽  
Ali Abdo Saleh

Abstract The pavement condition index (PCI) is a simple, convenient and inexpensive way to monitor the condition of the surface of roads, identify maintenance and rehabilitation (M-and-R) needs as well as ensure that road maintenance budgets are spent wisely. In this research, the pavement condition was evaluated in terms of the surface distresses existing at the time of the field evaluation. The PCI procedure was used in this research because it deals with the subject of pavement distress identification most comprehensively and is based on a sound statistical technique of pavement sampling. Because of limited maintenance fund availability in Yemen, timely and rational determination of M-and-R needs and priorities are very important factors. The PAVER™ (1982) condition rating procedure, as described in the Technical Manual TM 5-623, Pavement Maintenance Management, which is based on the PCI, was used in this study to evaluate a major heavy-traffic road corridor connecting Aden city (the commercial capital of Yemen) with major cities located in the northern region of the country. Based on the PCI of the road sections, the necessary maintenance or rehabilitation procedure is suggested.


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