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

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.

[1]  Joseph E. Hummer,et al.  Improved Asset Management and Inventory Development through Sample Analysis and Vendor–Client Communication , 2016 .

[2]  G B Thomas,et al.  DURABLE, COST-EFFECTIVE PAVEMENT MARKINGS. PHASE I: SYNTHESIS OF CURRENT RESEARCH , 2001 .

[3]  Thomas H Maze,et al.  Integrated Approach to Pavement Marking Management , 2006 .

[4]  A R Grant,et al.  GUIDELINES FOR THE USE OF RAISED PAVEMENT MARKERS , 1998 .

[5]  Joseph E. Hummer,et al.  Data Integration of Pavement Markings: A Case in Transportation Asset Management , 2009 .

[6]  Charles Holzschuher,et al.  Development and Implementation of a Pavement Marking Management System in Florida , 2018 .

[7]  Rod E. Turochy,et al.  Modeling Retroreflectivity Performance of Thermoplastic Pavement Markings in Alabama , 2014 .

[8]  Brian L Bowman,et al.  Cost- and Longevity-Based Scheduling of Paint and Thermoplastic Striping , 2002 .

[9]  Adjo Amekudzi,et al.  Managing Ancillary Transportation Assets: The State of the Practice , 2014 .

[10]  Ivan Damnjanovic,et al.  Evaluating the Effectiveness of Performance Based Pavement Marking Maintenance Contracts in Texas , 2014 .

[11]  Yunlong Zhang User’s Guide. Pavement Marking Management System Database , 2011 .

[12]  Karin M Bauer,et al.  Service Life of Durable Pavement Markings , 2001 .

[13]  Hassan A. Karimi,et al.  Transportation Distance Measurement Data Quality , 2003 .

[14]  S. Tighe,et al.  Tra-958: A Methodology for Integrating Asset Valuation in Transportation Asset Management , 2016 .

[15]  Ralph Haas,et al.  Public Infrastructure Asset Management , 2013 .

[16]  Eric T. Donnell,et al.  Predicting Pavement Marking Retroreflectivity Using Artificial Neural Networks: Exploratory Analysis , 2011 .

[17]  Thomas Schnell,et al.  Computer-Based Modeling to Determine the Visibility and Minimum Retroreflectivity of Pavement Markings , 2000 .

[18]  Richard A. Beck,et al.  Public Perception of Pavement-Marking Brightness , 2000 .

[19]  Joseph E. Hummer,et al.  IT Issues for the Management of High-Quantity, Low-Cost Assets , 2009 .

[20]  Dana J. Vanier ADVANCED ASSET MANAGEMENT: TOOLS AND TECHNIQUES , 2000 .

[21]  Jaime Kopf REFLECTIVITY OF PAVEMENT MARKINGS: ANALYSIS OF RETROREFLECTIVITY DEGRADATION CURVES , 2004 .

[22]  Xin Xu,et al.  Automatic road-marking detection and measurement from laser-scanning 3D profile data , 2019 .

[23]  Konstantina Gkritza,et al.  Pavement Marking Retroreflectivity and Crash Frequency: Segmentation, Line Type, and Imputation Effects , 2016 .

[24]  A L Andrady,et al.  PAVEMENT MARKING MATERIALS: ASSESSING ENVIRONMENT-FRIENDLY PERFORMANCE , 1997 .

[25]  Eric T. Donnell,et al.  Use of Pavement Marking Degradation Models to Develop a Pavement Marking Management System , 2009 .

[26]  Neal Hawkins,et al.  Pavement Marking Demonstration Projects: State of Alaska and State of Tennessee , 2013 .

[27]  E. Martínez,et al.  Analysis of Performance-Based Pavement Markings and Markers Contracts: Case Study from San Antonio , 2018 .

[28]  Adam M Pike,et al.  Development of a Pavement Marking Life Cycle Cost Tool , 2018, Transportation Research Record: Journal of the Transportation Research Board.

[29]  Robert E. Maki,et al.  Development of a Pavement Marking Management System: Measurement of Glass Sphere Loading in Retroreflective Pavement Paints , 2002 .

[30]  Neville A Parker,et al.  Evaluation of Performance of Permanent Pavement Markings , 2003 .

[31]  Michael J Markow Managing Selected Transportation Assets: Signals, Lighting, Signs, Pavement Markings, Culverts, and Sidewalks , 2007 .

[32]  M. Markow Current Asset Management Practices Applied to Pavement Markings , 2008 .

[33]  Paul J Carlson,et al.  PEDESTRIAN CROSSING GUIDELINES FOR TEXAS , 2000 .

[34]  A. Alavi,et al.  Smartphone-based molecular sensing for advanced characterization of asphalt concrete materials , 2020 .

[35]  Neal Hawkins,et al.  Local Agency Pavement Marking Plan , 2010 .