Implementation of Automated Network-Level Crack Detection Processes in Maryland

2003 ◽  
Vol 1860 (1) ◽  
pp. 109-116 ◽  
Author(s):  
Jonathan L. Groeger ◽  
Peter Stephanos ◽  
Paul Dorsey ◽  
Mark Chapman
Keyword(s):  
Data Collection ◽  
Crack Detection ◽  
Implementation Process ◽  
Lessons Learned ◽  
Pavement Management ◽  
Pavement Management System ◽  
State Highway ◽  
Management Group ◽  
Detection Software ◽  
Insight Into

The Maryland State Highway Administration (MDSHA) has collected cracking data on its roadways for use in its pavement management system since 1984. Through much of this history the pavement cracking survey was performed yearly by teams of inspectors riding in vans. With the reengineering of the administration over the years, this process began to present serious resource and logistical problems. During the past 3 years, the MDSHA pavement management group has developed and implemented a state-of-the-art automated network-level crack detection process that is showing promising results. This process is based upon the use of the automated road analyzer (ARAN) data collection vehicle, Wisecrax crack detection software, and an intensive quality-control (QC) and quality-assurance (QA) procedure. The data collection and data processing tasks are all performed in house with MDSHA resources. An overview of the processes developed and implemented by MDSHA to conduct these surveys is provided. Also discussed are challenges and lessons learned during the implementation process. Presentation of this information will allow others to gain insight into the strengths and weaknesses of adopting such a system and promote information sharing among pavement data collection organizations. Overall, it is concluded that automated network-level crack detection is a workable and efficient tool. However, a strict QC-QA regime must be instituted in order to achieve consistent and repeatable results.

Evaluation of Network-Level Data Collection Variability and its Influence on Pavement Evaluation Utilizing Random Forest Method

2021 ◽  
pp. 036119812098043
Author(s):  
Xiaoyang Jia ◽  
Mark Woods ◽  
Hongren Gong ◽  
Di Zhu ◽  
Wei Hu ◽  
...  
Keyword(s):  
Data Collection ◽  
High Variability ◽  
Pavement Management ◽  
Data Sets ◽  
State Highway ◽  
Condition Evaluation ◽  
Level Data ◽  
Pavement Evaluation ◽  
Data Variability ◽  
Parallel Tests

The use of pavement condition data to support maintenance and resurfacing strategies and justify budget needs becomes more crucial as more data-driven approaches are being used by the state highway agencies (SHAs). Therefore, it is important to understand and thus evaluate the influence of data variability on pavement management activities. However, owing to a huge amount of data collected annually, it is a challenge for SHAs to evaluate the influence of data collection variability on network-level pavement evaluation. In this paper, network-level parallel tests were employed to evaluate data collection variability. Based on the data sets from the parallel tests, classification models were constructed to identify the segments that were subject to inconsistent rating resulting from data collection variability. These models were then used to evaluate the influence of data variability on pavement evaluation. The results indicated that the variability of longitudinal cracks was influenced by longitudinal lane joints, lateral wandering, and lane measurement zones. The influence of data variability on condition evaluation for state routes was more significant than that for interstates. However, high variability of individual metrics may not necessarily lead to high variability of combined metrics.

Implementation of the British Columbia Side Road Assessment Plan

2003 ◽  
Vol 1819 (1) ◽  
pp. 262-266 ◽  
Author(s):  
Lynne Cowe Falls ◽  
Shawn Landers ◽  
Wael Bekheet ◽  
Reg Fredrickson
Keyword(s):  
British Columbia ◽  
Data Collection ◽  
Asset Management ◽  
Management Practices ◽  
Lessons Learned ◽  
Pavement Management ◽  
Huge Data ◽  
Management Application ◽  
Traffic Volumes ◽  
Fiscal Restraint

With more than 61,000 lane-km, the British Columbia side road network is an important economic asset to the province, providing access to a large resource-based economy. This network is composed of paved (25,000 lane-km) and unpaved (36,000 lane-km) sections of various geometric and construction standards and low traffic volumes. In the mid-1990s, the British Columbia Ministry of Transportation completed implementation of a comprehensive corporate pavement management application on its entire primary and secondary highway system. The ministry was also committed to extension of the system to all roads under its jurisdiction as part of its asset management practices to support formalized condition assessment and needs analysis processes. One of the obstacles facing the implementation of pavement management application on the side roads was the huge data collection cost, particularly in a time of governmentwide fiscal restraint. The side road data collection project was initiated with the objective of developing a data collection methodology and plan for the entire network by a combination of continuous and sampled approaches. The approach used to modify the existing U.S. Corps of Engineers data collection system for unpaved roads to conditions in British Columbia and the field verification trials that were completed before full-scale implementation are discussed. The data collection blueprint, which combines full and sampled coverage of the network with a road classification system, is also described. The results of the first data collection cycle and lessons learned are presented.

scholarly journals Facilitators and Barriers to Recruiting Ambulatory Oncology Practices Into a Large Multisite Study: Mixed Methods Study

JMIR Cancer ◽  
10.2196/14476 ◽  
2020 ◽  
Vol 6 (1) ◽  
pp. e14476 ◽  
Author(s):  
Milisa Manojlovich ◽  
Louise Bedard ◽  
Jennifer J Griggs ◽  
Michaella McBratnie ◽  
Kari Mendelsohn-Victor ◽  
...  
Keyword(s):  
Quality Improvement ◽  
Mixed Methods ◽  
Data Collection ◽  
Human Subjects ◽  
Implementation Process ◽  
Lessons Learned ◽  
Quality Improvement Collaborative ◽  
Ambulatory Oncology ◽  
Oncology Care ◽  
Facilitators And Barriers

Background Practice-based research is essential to generate the data necessary to understand outcomes in ambulatory oncology care. Although there is an increased interest in studying ambulatory oncology care, given the rising patient volumes and complexity in those settings, little guidance is available on how best to recruit ambulatory oncology practices for research. Objective This paper aimed to describe the facilitators and barriers to recruiting ambulatory oncology practices into a large multisite study. Methods Using a mixed methods design, we sought to recruit 52 ambulatory oncology practices that have participated in a state-wide quality improvement collaborative for the quantitative phase. We used 4 domains of the Consolidated Framework for Implementation Research (CFIR) to describe facilitators and barriers to recruitment. Results We successfully recruited 28 of the 52 collaborative-affiliated practices, collecting survey data from 2223 patients and 297 clinicians. Intervention attributes included multimodal outreach and training activities to assure high fidelity to the data collection protocol. The implementation process was enhanced through interactive training and practice-assigned champions responsible for data collection. External context attributes that facilitated practice recruitment included partnership with a quality improvement collaborative and the inclusion of a staff member from the collaborative in our team. Key opinion leaders within each practice who could identify challenges to participation and propose flexible solutions represented internal context attributes. We also reported lessons learned during the recruitment process, which included navigating diverse approaches to human subjects protection policies and understanding that recruitment could be a negotiated process that took longer than anticipated, among others. Conclusions Our experience provides other researchers with challenges to anticipate and possible solutions for common issues. Using the CFIR as a guide, we identified numerous recruitment barriers and facilitators and devised strategies to enhance recruitment efforts. In conclusion, researchers and clinicians can partner effectively to design and implement research protocols that ultimately benefit patients who are increasingly seeking care in ambulatory practices.

Methodology for Developing Generic Performance Curves for Flexible Pavements in Puerto Rico Using Clustering Techniques

1997 ◽  
Vol 1592 (1) ◽  
pp. 116-124
Author(s):  
Benjamín Colucci ◽  
Nazario Ramírez-Beltrán ◽  
Francisco Rodríguez-Dosal
Keyword(s):  
Puerto Rico ◽  
Essential Elements ◽  
Pavement Management ◽  
Remaining Useful Life ◽  
Pavement Management System ◽  
Clustering Techniques ◽  
Climatic Regions ◽  
State Highway ◽  
Performance Curves ◽  
State Highway Agencies

One of the major challenges that state highway agencies face is the need to estimate performance curves for different functional classifications of highways and traffic loads, considering the limitations of resources and equipment required for data collection and management activities. The need to estimate the remaining useful life of pavements in different climatic regions with a variety of subgrade conditions is crucial for the efficient allocation of maintenance and rehabilitation funds. A methodology that addresses both the performance and regional climatic aspects is presented. Essential elements of this methodology include clustering techniques for identifying the homogeneous climatic regions and determining serviceability in terms of accepted relationships of roughness and the use of nonlinear optimization to estimate performance curves based on equivalent 18-kip single axle loads and pavement serviceability index parameters. Generic performance curves have been developed for each climatic region. Application of the methodology for the cluster corresponding to the humid region is presented. The proposed methodology is expected to provide support to the Puerto Rico Highway and Transportation Authority, Strategic Highway Research Program, and the Long-Term Pavement Performance program in their pavement evaluation processes, thus contributing to the ongoing pavement management system in Puerto Rico.

scholarly journals Facilitators and Barriers to Recruiting Ambulatory Oncology Practices Into a Large Multisite Study: Mixed Methods Study (Preprint)

2019 ◽  
Author(s):  
Milisa Manojlovich ◽  
Louise Bedard ◽  
Jennifer J Griggs ◽  
Michaella McBratnie ◽  
Kari Mendelsohn-Victor ◽  
...  
Keyword(s):  
Quality Improvement ◽  
Mixed Methods ◽  
Data Collection ◽  
Human Subjects ◽  
Implementation Process ◽  
Lessons Learned ◽  
Quality Improvement Collaborative ◽  
Ambulatory Oncology ◽  
Oncology Care ◽  
Facilitators And Barriers

BACKGROUND Practice-based research is essential to generate the data necessary to understand outcomes in ambulatory oncology care. Although there is an increased interest in studying ambulatory oncology care, given the rising patient volumes and complexity in those settings, little guidance is available on how best to recruit ambulatory oncology practices for research. OBJECTIVE This paper aimed to describe the facilitators and barriers to recruiting ambulatory oncology practices into a large multisite study. METHODS Using a mixed methods design, we sought to recruit 52 ambulatory oncology practices that have participated in a state-wide quality improvement collaborative for the quantitative phase. We used 4 domains of the Consolidated Framework for Implementation Research (CFIR) to describe facilitators and barriers to recruitment. RESULTS We successfully recruited 28 of the 52 collaborative-affiliated practices, collecting survey data from 2223 patients and 297 clinicians. <i>Intervention attributes</i> included multimodal outreach and training activities to assure high fidelity to the data collection protocol. The <i>implementation process</i> was enhanced through interactive training and practice-assigned champions responsible for data collection. <i>External context</i> attributes that facilitated practice recruitment included partnership with a quality improvement collaborative and the inclusion of a staff member from the collaborative in our team. Key opinion leaders within each practice who could identify challenges to participation and propose flexible solutions represented <i>internal context</i> attributes. We also reported lessons learned during the recruitment process, which included navigating diverse approaches to human subjects protection policies and understanding that recruitment could be a negotiated process that took longer than anticipated, among others. CONCLUSIONS Our experience provides other researchers with challenges to anticipate and possible solutions for common issues. Using the CFIR as a guide, we identified numerous recruitment barriers and facilitators and devised strategies to enhance recruitment efforts. In conclusion, researchers and clinicians can partner effectively to design and implement research protocols that ultimately benefit patients who are increasingly seeking care in ambulatory practices.

scholarly journals Coordinated Pavement Management System between Municipalities and State in Rhode Island

2019 ◽  
Author(s):  
masoud faramarzi
Keyword(s):  
Rhode Island ◽  
Management System ◽  
Surface Condition ◽  
Condition Index ◽  
Pavement Management ◽  
Pavement Management System ◽  
Health Indices ◽  
State Highway ◽  
Budget Analysis ◽  
Transportation Agencies

State of Rhode Island and Providence Plantation (RI) has 6,052 miles roadways: 1,098 miles State-maintained highways, 4,766 miles cities and towns-maintained roadways, 188 miles for other jurisdictions. Most transportation agencies are using their own pavement management system (PMS); however, the coordinated system for state highways and municipally maintained roads appears to be absent. Thus, a coordinated effort has been made successfully among state, municipalities and academia in RI. A standardized PMS with MicroPAVER™ was established for Kingston campus at University of Rhode Island (URI) to help the implementation for cities and towns in 1988. URI team suggested to evaluate only one representative sample unit per section. Condition survey has been performed for 30 years, and current and future condition were determined and predicted for URI campus, respectively. Maintenance and rehabilitation (M&amp;R) strategies were established and budget analysis was performed for needed cities and towns. Rhode Island Department of Transportation (RIDOT) adopted a PMS based on surface condition as well as roughness from 1985. Like MicroPAVER™ pavement condition index (PCI), RIDOT developed and calculated pavement structural health indices (PSHIs) for each 1/10th of mile segment of highway. Gradually RIDOT has been using Deighton Total Infrastructure Management System (dTIMS™) as its PMS for state-maintained highways since 1993. To coordinate two systems, MicroPAVER™ and dTIMS™ were used for network of Cranston city and RI state highway in the present study, respectively. Hope that this model PMS will stimulate more implementation for other transportation agencies.

scholarly journals Lessons learned on the experienced facilitators and barriers of implementing a tailored VBHC model in a Dutch university hospital from a perspective of physicians and nurses

BMJ Open ◽  
2022 ◽  
Vol 12 (1) ◽  
pp. e051764
Author(s):  
Dane Lansdaal ◽  
Femke van Nassau ◽  
Marije van der Steen ◽  
Martine de Bruijne ◽  
Marian Smeulers
Keyword(s):  
Patient Involvement ◽  
Implementation Process ◽  
Lessons Learned ◽  
University Hospital ◽  
Care Process ◽  
External Information ◽  
Health Records ◽  
Facilitators And Barriers ◽  
Implementation Methodology ◽  
Insight Into

ObjectiveThis study aims to obtain insight into experienced facilitators and barriers of implementing a tailored value-based healthcare (VBHC) model in a Dutch university hospital from a perspective of physicians and nurses.MethodA descriptive qualitative study with 12 physicians, nurses and managers of seven different care pathways who were involved in the implementation of a tailored VBHC methodology was conducted. Thematic content analysis was used to analyse the data guided by all factors of the Consolidated Framework for Implementation Research (CFIR).FindingsThe method designed for the implementation of a tailored VBHC methodology was appointed as a structured guide for the process. Throughout the implementation process, leadership and team dynamics were considered as important for the implementation to succeed. Also, sharing experiences with other value teams and the cooperation with external Information Technology (IT) teams in the hospital was mentioned as desirable. The involvement of patients, that is part of the VBHC methodology, was considered useful in the decision-making and improvement of the care process because it gave better insights in topics that are important for patients. The time-consuming nature of the implementation process was named as barrier to the VBHC methodology. On top of that, the shaping of the involvement of patients and the ongoing changes in departments were established as difficult. Finally, working with the Electronic Health Records and acquiring the necessary digital skills were considered to be often forgotten and, thus, hindering implementation.ConclusionClinical Healthcare organisations implementing a tailored VBHC methodology will benefit from the use of a structured implementation methodology, a well-led strong team and cooperation with (external) teams and patients. However, shaping patient involvement, alignment with other departments and attention to digitisation were seen as a most important concerns in implementation and require further attention.

Preparation of Joint Faulting Data for the Local Calibration of AASHTO Pavement Mechanistic–Empirical Design in Louisiana

2017 ◽  
Vol 2640 (1) ◽  
pp. 69-77
Author(s):  
Danny X. Xiao ◽  
Zhong Wu ◽  
Zhongjie Zhang
Keyword(s):  
High Speed ◽  
Lessons Learned ◽  
Pavement Management ◽  
Local Calibration ◽  
Pavement Management System ◽  
Measurement Results ◽  
The Common ◽  
Design Software ◽  
Longitudinal Profiles

Louisiana utilized performance data from the pavement management system (PMS) to evaluate and calibrate the AASHTO Pavement Mechanistic–Empirical (ME) Design. Analysis of the PMS faulting data revealed that there were no records between 0 and 0.2 in. (5 mm); others over 0.2 in. (5 mm) appeared to be much greater than would be expected based on engineering experience. Therefore, several tasks were completed to validate the PMS faulting data and prepare them for local calibration. This paper presents details of the problem, approach, results, and lessons learned. First, faulting data from the PMS and Long-Term Pavement Performance database were analyzed to have an overview of the common range of joint faulting. To validate the PMS faulting data, 43 representative projects across Louisiana were selected for further analysis. Longitudinal profiles were collected with high-speed profilers and analyzed with the AASHTO R36 automated faulting measurement (AFM) algorithms. Manual measurements were also conducted during site visits. The comparison of faulting from different methods showed that the PMS data extremely overestimated faulting compared with the AFM estimation or the manual measurement. Results from the AFM algorithm were much closer (in the same magnitude) to the manual measurements. Therefore, faulting data from the AFM algorithm were used, and the faulting model was successfully calibrated. It is recommended to evaluate PMS faulting data carefully before applying them to calibrate the AASHTO Pavement ME Design software. Automated faulting measurement based on high-speed profiles is a feasible approach.

scholarly journals Mixed-Methods Research in a Complex Multisite VA Health Services Study: Variations in the Implementation and Characteristics of Chiropractic Services in VA

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Raheleh Khorsan ◽  
Angela B. Cohen ◽  
Anthony J. Lisi ◽  
Monica M. Smith ◽  
Deborah Delevan ◽  
...  
Keyword(s):  
Mixed Methods ◽  
Data Collection ◽  
Mixed Methods Research ◽  
Implementation Process ◽  
Lessons Learned ◽  
Data Sources ◽  
Department Of Veterans Affairs ◽  
Policy And Practice ◽  
Trade Offs ◽  
The Us

Maximizing the quality and benefits of newly established chiropractic services represents an important policy and practice goal for the US Department of Veterans Affairs’ healthcare system. Understanding the implementation process and characteristics of new chiropractic clinics and the determinants and consequences of these processes and characteristics is a critical first step in guiding quality improvement. This paper reports insights and lessons learned regarding the successful application of mixed methods research approaches—insights derived from a study of chiropractic clinic implementation and characteristics, Variations in the Implementation and Characteristics of Chiropractic Services in VA (VICCS). Challenges and solutions are presented in areas ranging from selection and recruitment of sites and participants to the collection and analysis of varied data sources. The VICCS study illustrates the importance of several factors in successful mixed-methods approaches, including (1) the importance of a formal, fully developed logic model to identify and link data sources, variables, and outcomes of interest to the study’s analysis plan and its data collection instruments and codebook and (2) ensuring that data collection methods, including mixed-methods, match study aims. Overall, successful application of a mixed-methods approach requires careful planning, frequent trade-offs, and complex coding and analysis.

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