scholarly journals Developing Pavement Marking Management Systems: A Theoretical Model Framework Based on the Experiences of the US Transportation Agencies

2021 ◽  
Vol 6 (2) ◽  
pp. 18
Author(s):  
Alireza Sassani ◽  
Omar Smadi ◽  
Neal Hawkins

Pavement markings are essential elements of transportation infrastructure with critical impacts on safety and mobility. They provide road users with the necessary information to adjust driving behavior or make calculated decisions about commuting. The visibility of pavement markings for drivers can be the boundary between a safe trip and a disastrous accident. Consequently, transportation agencies at the local or national levels allocate sizeable budgets to upkeep the pavement markings under their jurisdiction. Infrastructure asset management systems (IAMS) are often biased toward high-capital-cost assets such as pavements and bridges, not providing structured asset management (AM) plans for low-cost assets such as pavement markings. However, recent advances in transportation asset management (TAM) have promoted an integrated approach involving the pavement marking management system (PMMS). A PMMS brings all data items and processes under a comprehensive AM plan and enables managing pavement markings more efficiently. Pavement marking operations depend on location, conditions, and AM policies, highly diversifying the pavement marking management practices among agencies and making it difficult to create a holistic image of the system. Most of the available resources for pavement marking management focus on practices instead of strategies. Therefore, there is a lack of comprehensive guidelines and model frameworks for developing PMMS. This study utilizes the existing body of knowledge to build a guideline for developing and implementing PMMS. First, by adapting the core AM concepts to pavement marking management, a model framework for PMMS is created, and the building blocks and elements of the framework are introduced. Then, the caveats and practical points in PMMS implementation are discussed based on the US transportation agencies’ experiences and the relevant literature. This guideline is aspired to facilitate PMMS development for the agencies and pave the way for future pavement marking management tools and databases.

Sensors ◽  
2021 ◽  
Vol 21 (5) ◽  
pp. 1737
Author(s):  
Ane Dalsnes Storsæter ◽  
Kelly Pitera ◽  
Edward McCormack

Pavement markings are used to convey positioning information to both humans and automated driving systems. As automated driving is increasingly being adopted to support safety, it is important to understand how successfully sensor systems can interpret these markings. In this effort, an in-vehicle lane departure warning system was compared to data collected simultaneously from an externally mounted mobile retroreflectometer. The test, performed over 200 km of driving on three different routes in variable lighting conditions and road classes found that, depending on conditions, the retroreflectometer could predict whether the car’s lane departure systems would detect markings in 92% to 98% of cases. The test demonstrated that automated driving systems can be used to monitor the state of pavement markings and can provide input on how to design and maintain road infrastructure to support automated driving features. Since data about the condition of lane marking from multiple lane departure warning systems (crowd-sourced data) can provide input into the pavement marking management systems operated by many road owners, these findings also indicate that these automated driving sensors have an important role in enhancing the maintenance of pavement markings.


2020 ◽  
Vol 2 (4) ◽  
pp. Manuscript
Author(s):  
Pengfei Zhang ◽  
Lasith Anthony De Silva

While the rapid growth of emerging technologies is changing the global maritime industry, maritime organizations have notoriously been conservative and reluctant to make significant changes in their management practice. Data management systems (DMS) have become increasingly important in many other industries, such as health care, shopping, and education and so on. However, ship managers tend to lack the motivation to integrate DMS in ship operations. The related reasons may include inadequate knowledge, poor management practices, and high capital expenditure and so on. In this research, five key hypotheses were developed based on existing knowledge and scholarship. Primary data were gathered through semi-structured interviews and online questionnaires to test these hypotheses. This article draws on data, information, techniques and theories from a variety of sources in both public domain and private databases. It critically examines some key issues of DMS and how it could be used in ship operations to improve management efficiency. Finally, this paper concluded by introducing some recommendations and proposing a model framework for the integration of DMS in ship operations.


Author(s):  
Marketa Vavrova ◽  
Carlos M. Chang

This paper describes a framework for implementing livability into transportation asset management practices. The framework focuses on improving the quality of bikeway networks as an important factor to enhance livability. The Bikeway Quality Framework is explained step by step and provides ideas for assessment, prioritization, scenarios, and reporting. In the assessment phase, existing and planned assets according to applicable local plans are coordinated with pavement resurfacing projects for maximum cost efficiency. During the prioritization phase, assets in need of maintenance are ranked based on their importance, location, cost of the maintenance, and remaining service life. Scenarios analyses include both constrained and unconstrained budgets. Results of the analysis are reported using several performance measures: agency expenditures, level of non-motorized investment, bikeway pavement condition, bikeway pavement marking condition, and jobs created. The framework is applied in an example with 70 block-long sections in San Francisco, California.


2017 ◽  
Vol 24 (6) ◽  
pp. 1184-1202 ◽  
Author(s):  
Wesam Beitelmal ◽  
Keith R. Molenaar ◽  
Amy Javernick-Will ◽  
Eugenio Pellicer

Purpose The increased need for, and maintenance of, infrastructure creates challenges for all agencies that manage infrastructure assets. To assist with these challenges, agencies implement asset management systems. The purpose of this paper is to investigate and compare the importance of barriers faced by agencies establishing transportation asset management systems in the USA and Libya to contrast a case of a developed and developing country. Design/methodology/approach A literature review identified 28 potential barriers for implementing an asset management system. Practitioners who participate in decision-making processes in each country were asked to rate the importance of each barrier in an online survey questionnaire. Descriptive statistics, Kendall Concordance W., and Mann-Whitney are used to analyze the collected data. Findings Through an analysis of 61 completed questionnaires, 14 barriers were identified as important by both the US and Libyan practitioners. A total of 11 additional barriers, primarily in the areas of political and regulatory obstacles, were determined to be important only for Libya. These 11 barriers provide reasonable insights into asset management systems’ barriers for developing countries. Practical implications The list of barriers identified from this research will assist decision makers to address and overcome these barriers when implementing asset management systems in their specific organizational and country conditions. Originality/value The research identified standard barriers to implementing asset management systems and identified barriers that were specific to the country context, such as political and regulatory barriers in Libya. When viewed with the asset management literature, the results show broad applicability of some asset management barriers and the need to contextualize to country context (e.g. developing countries) for other barriers.


Energies ◽  
2020 ◽  
Vol 13 (15) ◽  
pp. 3762
Author(s):  
Adolfo Crespo Marquez ◽  
Juan Francisco Gomez Fernandez ◽  
Pablo Martínez-Galán Fernández ◽  
Antonio Guillen Lopez

Maintenance Management is a key pillar in companies, especially energy utilities, which have high investments in assets, and so for its proper contribution has to be integrated and aligned with other departments in order to conserve the asset value and guarantee the services. In this line, Intelligent Assets Management Platforms (IAMP) are defined as software platforms to collect and analyze data from industrial assets. They are based on the use of digital technologies in industry. Beside the fact that monitoring and managing assets over the internet is gaining ground, this paper states that the IAMPs should also support a much better balanced and more strategic view in existing asset management and concretely in maintenance management. The real transformation can be achieved if these platforms help to understand business priorities in work and investments. In this paper, we first discuss about the factors explaining IAMP growth, then we explain the importance of considering, well in advance, those managerial aspects of the problem, for proper investments and suitable digital transformation through the adoption and use of IAMPs. A case study in the energy sector is presented to map, or to identify, those platform modules and Apps providing important value-added features to existing asset management practices. Later, attention is paid to the methodology used to develop the Apps’ data models from a maintenance point of view. To illustrate this point, a methodology for the development of the asset criticality analysis process data model is proposed. Finally, the paper includes conclusions of the work and relevant literature to this research.


Author(s):  
Shahrouz J. Ghadimi ◽  
Sandra N. Gutierrez ◽  
Carlos M. Chang

Asset management provides a strategic framework for infrastructure systems and focuses on getting the most out of their performance with the available resources. To determine future budget needs, highway agencies must have the necessary data and analytical tools with which to predict the performance of highway assets over time. Currently, transportation asset management systems are at different maturity levels. Pavement and bridges are considered the big ticket of all highway assets, but the preservation of signs, signals, lighting, guardrails, and pavement markings is also crucial to protect road users. Despite its importance, one of the safety assets with fewer asset management analytical tools is guardrail systems. Transportation agencies typically replace or repair guardrails that have endured major damage from car crashes. To implement a proactive preservation program, in agreement with transportation asset management practices, various parameters must be known. These parameters include inventory information, current guardrail condition, and performance models to forecast changes in the guardrail system condition over time. This paper describes a performance-based model with an analytical method to formulate a proactive preservation program for guardrail systems. The model was developed from inventory data and predicts changes in the guardrail system condition over time. A case study estimates the annual agency costs and backlogged costs over a 10-year analysis period. This model can be integrated into an asset management system to facilitate the formulation of preservation programs for guardrail systems at the strategic level.


Author(s):  
E. Che ◽  
M. J. Olsen ◽  
C. Parrish ◽  
J. Jung

<p><strong>Abstract.</strong> Pavement markings serve as important traffic control devices, delineating traffic lanes and conveying regulations, guidance or warnings to roadway users. To ensure that pavement markings are clearly visible, especially at night, transportation agencies periodically assess the retroreflectivity of various categories of markings through manual approaches at discrete location. Because the radiometric information such as intensity in the lidar data cannot inherently be considered as a retroreflectivity measurement without additional processing, this study rigorously assesses the ability to determine pavement marking retroreflectivity from the Leica ScanStation P40 through radiometric calibration. For the evaluation, data were collected at a study site in Philomath, Oregon using the Leica P40, Leica Pegasus: Two mobile lidar system, and a handheld retroreflectometer as a reference. The results show that, with appropriate calibration, the lidar data can adequately assess the retroreflectivity of pavement markings. Additionally, while corrections have been proposed for range and angle of incidence, these corrections are not straightforward to apply for retroreflective materials, as will be discussed herein. While mobile lidar technology is ideal for a system-wide asset management framework, terrestrial laser scanning can be utilized for detailed investigations at sites such as intersections with highly variable wear where both can enable significant cost savings and applied for a variety of purposes simultaneously including asset management and project development.</p>


2021 ◽  
pp. 205301962110075
Author(s):  
Ilan Stavi ◽  
Joana Roque de Pinho ◽  
Anastasia K Paschalidou ◽  
Susana B Adamo ◽  
Kathleen Galvin ◽  
...  

During the last decades, pastoralist, and agropastoralist populations of the world’s drylands have become exceedingly vulnerable to regional and global changes. Specifically, exacerbated stressors imposed on these populations have adversely affected their food security status, causing humanitarian emergencies and catastrophes. Of these stressors, climate variability and change, land-use and management practices, and dynamics of human demography are of a special importance. These factors affect all four pillars of food security, namely, food availability, access to food, food utilization, and food stability. The objective of this study was to critically review relevant literature to assess the complex web of interrelations and feedbacks that affect these factors. The increasing pressures on the world’s drylands necessitate a comprehensive analysis to advise policy makers regarding the complexity and linkages among factors, and to improve global action. The acquired insights may be the basis for alleviating food insecurity of vulnerable dryland populations.


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