Academic literature on the topic 'Pavement management systems (PMSs)'
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Journal articles on the topic "Pavement management systems (PMSs)"
Cottrell, Wayne D., Hosin Lee, Jon Nepstad, and Mick Crandall. "Efforts toward Developing a Regional Pavement Management System in Utah." Transportation Research Record: Journal of the Transportation Research Board 1524, no. 1 (January 1996): 48–57. http://dx.doi.org/10.1177/0361198196152400106.
Full textKhan, Riaz Ahmed, Khaled Helali, Andris A. Jumikis, and Zhiwei He. "Deficiency Analysis of As-Built Database to Enhance a Pavement Management System." Transportation Research Record: Journal of the Transportation Research Board 1853, no. 1 (January 2003): 55–64. http://dx.doi.org/10.3141/1853-07.
Full textSohail, Farrukh, and W. R. Hudson. "Network-Level Implementation of URMS: A Graphical Urban Roadway Management System." Transportation Research Record: Journal of the Transportation Research Board 1524, no. 1 (January 1996): 36–47. http://dx.doi.org/10.1177/0361198196152400105.
Full textSassani, Alireza, Omar Smadi, and Neal Hawkins. "Developing Pavement Marking Management Systems: A Theoretical Model Framework Based on the Experiences of the US Transportation Agencies." Infrastructures 6, no. 2 (January 24, 2021): 18. http://dx.doi.org/10.3390/infrastructures6020018.
Full textJusto-Silva, Rita, Adelino Ferreira, and Gerardo Flintsch. "Review on Machine Learning Techniques for Developing Pavement Performance Prediction Models." Sustainability 13, no. 9 (May 7, 2021): 5248. http://dx.doi.org/10.3390/su13095248.
Full textRoberts, Ronald, Laura Inzerillo, and Gaetano Di Mino. "Exploiting Low-Cost 3D Imagery for the Purposes of Detecting and Analyzing Pavement Distresses." Infrastructures 5, no. 1 (January 14, 2020): 6. http://dx.doi.org/10.3390/infrastructures5010006.
Full textVieira, Rui, Brendan O’Dwyer, and Roman Schneider. "Aligning Strategy and Performance Management Systems." Organization & Environment 30, no. 1 (August 1, 2016): 3–26. http://dx.doi.org/10.1177/1086026615623058.
Full textAkbar, Rusdi, Robyn Ann Pilcher, and Brian Perrin. "Implementing performance measurement systems." Qualitative Research in Accounting & Management 12, no. 1 (April 20, 2015): 3–33. http://dx.doi.org/10.1108/qram-03-2013-0013.
Full textAnderson, Shannon W., and Amanda Kimball. "Evidence for the Feedback Role of Performance Measurement Systems." Management Science 65, no. 9 (September 2019): 4385–406. http://dx.doi.org/10.1287/mnsc.2018.3129.
Full textDi Tullio, Patrizia, Matteo La Torre, Diego Valentinetti, and Michele A. Rea. "Toward performance measurement systems based on business models." MANAGEMENT CONTROL, no. 1 (March 2021): 97–122. http://dx.doi.org/10.3280/maco2021-001-s1006.
Full textDissertations / Theses on the topic "Pavement management systems (PMSs)"
Kannemeyer, Louw. "The applicability of published pavement deterioration models for national roads." Diss., University of Pretoria, 1993. http://hdl.handle.net/2263/37297.
Full textDissertation (MEng)--University of Pretoria, 1993.
gm2014
Civil Engineering
MEng
Unrestricted
Han, Daeseok. "Development of Open-source Hybrid Pavement Management System for an International Standard." 京都大学 (Kyoto University), 2011. http://hdl.handle.net/2433/151957.
Full textSavigni, Valeria. "Proposta di un PMS (Pavement Management System) delle pavimentazioni flessibili in ambito urbano." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2017.
Find full textYoo, Jaewook. "Multi-period optimization of pavement management systems." Diss., Texas A&M University, 2004. http://hdl.handle.net/1969.1/343.
Full textPietrzycki, James M. "Analytical Hierarchy Process in Pavement Management Systems." University of Toledo / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1404499466.
Full textShiyab. "Optimum use of the flexible pavement condition indicators in pavement management system." Curtin University of Technology, Department of Civil Engineering, 2007. http://espace.library.curtin.edu.au:80/R/?func=dbin-jump-full&object_id=9396.
Full textAdvanced tools and machines were utilized to collect these data with a high degree of accuracy. The Falling Weight Deflectometer (FWD) was used to collect deflection data for structural analysis. Two Non-contact laser roughness measuring devices mounted on vehicles were heavily used for collecting roughness, texture, and rutting data. Distress data were collected using a manual procedure adopted and standardized at the Pavement Management System Unit of Dubai Emirate. Powerful engineering and statistical softwares were used in the analysis for the purpose of processing the data, back calculating the main parameters pertaining to pavement response, establishing the correlation matrices between various dependent variables and their predictors, and finally, applying linear and non linear regression analysis to develop reliable and predictable deterioration models for the uses of pavement management system. The analysis procedure was supplemented by a vast literature review for the up to date information along within deep investigations and verifications for some of the current practices, theories and models used in pavement design and pavement evaluation with more emphasis on the inherent drawbacks associated to these models and procedures. The study confirmed that pavement condition deterioration and performance can be best predicted and evaluated based on four main condition indicators; First, surface distress to assess the physical condition of the pavements and detect the inherent problems and defects caused by various factors affecting pavement performance. Second; roughness measurements to evaluate the riding quality of the pavement.
Third; deflection to calculate pavement response (stress and strains) and to assess pavement structural capacity and calculating the remaining life, and finally, skid resistance measurement to assess the level of safety and surface texture properties. Thorough study and investigation of the physical condition indicators and the associated parameters, confirmed that pavement distress data are vital elements in each pavement management system. Distress data can be used effectively to identify the main problems associated with pavement performance, causes of deterioration, maintenance measures needed to prevent the acceleration of the distress, the rehabilitation schemes needed to improve the pavement condition and finally to prepare maintenance work programs and to estimate the annual maintenance needs under an open or limited budget. Alligator cracking was found to have the heaviest impact on pavement condition. Distress density, probable causes of deterioration and distress propagation rate are the required parameters in PMS. Roughness was found to have a basic influence on pavement condition and the type of selected treatment. The use of Roughness data in terms of International Roughness Index (IRI) can be optimized in PMS by using this indicator in the following forms:
Roughness, as an objective measure, can be used as a good performance predictor of the current riding quality of pavements in service and reflects the inherent imperfections and built-in irregularities embodied in the road pavement surface. Roughness measurement can be used as a reference to establish construction specifications and provides through the PMS system an organized feedback approach to correct the persistent design deficiencies detected after road construction. Roughness can be used effectively in the planning process for maintenance works and to select the candidate sections through calculating the functional remaining life based on the estimated terminal value using Roughness-Age, Roughness-ESAL, and Roughness-PSI models. Lane–IRI along with the Difference between the left and right wheel IRI values, termed as “ Yaw” are the most suitable forms to be used in PMS to report about roughness characteristics. Yaw term can be used effectively to report or feed back about geometric imperfections that exist on the road surface such as improper cross slope, shoving and the probable drainage problems. The roughness cumulative distribution curves can be used as a planning tool in PMS to report at the network level. These curves indicate the network health and the required funding at different level of risks, so proactive measures can be taken and the required budgets can be made available.
Deflection data were found to form a basic component of the PMS. It was found that these data can be used at both network and project levels. Direct deflection measurements were found Not to be the ideal form to report about structural capacity at the network level. It is rather can be used at project level to detect weak spots and critical pavements layers. At the network level, the back calculated parameters from deflection basin such as Pavement Modulus (Ep), Asphalt and Pavement Curvature (CUR), Cross Sectional Area and the other deflection basin characteristics are much more appropriate for reporting about pavement structural conditions and calculating the structural remaining life in PMS. The design deflection and curvature that characterize the pavement have been found to be calculated based on the mean along with the two times the standard deviation of the measured data. The Effective Structural Number (SNeff) was found to have good correlations with the Total Pavement Thickness (Ht), the value of the deflection measured at the center of the loading plate ( D0 ) and the difference between D0 and the deflection measured at 450mm from the center of the loading plate ( D0 - D450 ). The first two variables were found to account for more than 92% of the structural capacity prediction model.
Traffic variable in terms of the accumulated standard repetitions (ESAL) was found to account for more than 60% of the deflection model predictability. Other variables such as E value, asphalt and base layer thicknesses can improve the predictability of the model if included. The concept of the relative value of effective pavement modulus to the original pavement modulus (Eeff/E0) was found to gives a reliable representation about the exhausted and the remaining life of the in-service pavement structure. The study showed that the pavement is reported to be structurally failed, when the effective asphalt or pavement modulus is about 20 - 35 % of its original design value which is equal to the modulus of the unbound material. It was also found that when the area of the fatigue cracking and the patching distresses exceeds 17% of the total pavement section area, or the depth of rutting is more than 15mm, the pavement is reported to be structurally failed and major rehabilitation or reconstruction should be applied. Skid resistance can be reported in the form of International Friction Index (IFI), as a well defined universal index, along with other two numbers; F60 Friction (Microtexture) related number measured at 60 km/h velocity and Macrotexture related number and Vp, which constitute the IFI index can be used in Pavement management system applications to report about skid resistance characteristics and the network level of safety. These three figures can be used to report about pavement condition, accidents, airports operations, and maintenance management surveys.
In this study, new methods and models were developed and suggested to be used in PMS as an alternative to the current available methods which were found to be impractical in certain cases. Finally, further research efforts are recommended to explore the uses of other parameters in particular those related to deflection basin analysis, cross sectional area, curvature, and pavement moduli. Skid resistance testing and reporting method should be subjected to further research works for the purpose of standardizing reporting methods, identifying the relative impact of main predictors i.e. megatexture, macrotexture and microtexture components and to develop performance models.
Suharman, Hamzah. "Development of A Practical Model for Pavement Management Systems." 京都大学 (Kyoto University), 2012. http://hdl.handle.net/2433/157549.
Full textElsheikh, Esam. "Management Control Systems & Performance Measurement Systems in Hybrid Organizations : The case of The Swedish Municipal Housing Corporations." Thesis, Högskolan Kristianstad, Fakulteten för ekonomi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:hkr:diva-18372.
Full textDurongdej, Warit 1977. "Software development process : web-based pavement management systems as case study." Thesis, Massachusetts Institute of Technology, 2001. http://hdl.handle.net/1721.1/8612.
Full textIncludes bibliographical references (leaf 75).
In the Information Technology Era today, software has been one of the most significant elements to help organizations achieve increased productivity and commercial success. For developers to create effective software, an appropriate development process must be applied. Generally, the process of developing software can be considered as having six phases: requirements engineering, design, implementation, testing, maintenance, and project management. Over the past thirty years, different kinds of life cycle models have been developed by applying these phases to provide developers with the most appropriate procedures for projects of various types. In addition, a set of development fundamentals should be considered during the process to optimize time, effort and cost in developing each project. This thesis studies the software development process and its effects on the development schedule of a Pavement Management and Inspection System (PMIS) project as a case study. From the case study, it can be concluded that choosing the appropriate life cycle model and applying the pertinent fundamentals, with the essential components of the development speed, can lead the project to be a success. Problems encountered during the development process are also valuable information to study as it may prevent them from occurring in the future.
by Warit Durongdej.
M.Eng.
Fuentes, Antonio. "An Analysis of Sensitivity in Economic Forecasting for Pavement Management Systems." DigitalCommons@USU, 2015. https://digitalcommons.usu.edu/etd/4279.
Full textBooks on the topic "Pavement management systems (PMSs)"
FEDERAL AVIATION ADMINISTRATION. Micro-paver, pavement management system (PMS). [Washington, D.C.?]: U.S. Dept. of Transportation, Federal Aviation Administration, 1987.
Find full textADMINISTRATION, FEDERAL AVIATION. Micro-paver, pavement management system (PMS). [Washington, D.C.?]: U.S. Dept. of Transportation, Federal Aviation Administration, 1987.
Find full textScanlon, Kathryn M. The Program Manager's Support System (PMSS): An executive overview and systems description. Fort Belvoir, Va: Defense Systems Management College, 1987.
Find full textBregard, Carolyn. The Program Manager's Support System (PMSS): An executive overview and descriptions of functional modules. Fort Belvoir, Va: Decision Support Systems Directorate, Dept. of Research and Information, Defense Systems Management College, 1989.
Find full textNational Cooperative Highway Research Program. Pavement management applications using geographic information systems. Washington, D.C: Transportation Research Board, National Research Council, 2004.
Find full textZimmerman, Kathryn A. Pavement Management Systems: Putting Data to Work. Washington, D.C.: Transportation Research Board, 2017. http://dx.doi.org/10.17226/24681.
Full textZimmerman, Kathryn A. Pavement Management Systems: Putting Data to Work. Washington, D.C.: Transportation Research Board, 2017. http://dx.doi.org/10.17226/24682.
Full textWebb, E. C. The development and implementation of pavement management systems. Manchester: UMIST, 1996.
Find full textGramling, W. L. Current practices in determining pavement condition. Washington, D.C: National Academy Press, 1994.
Find full textBook chapters on the topic "Pavement management systems (PMSs)"
Guerra de Oliveira, Sara, Andrej Tibaut, and Gianluca Dell’Acqua. "Airport Pavement Management Systems: An Open BIM Approach." In Lecture Notes in Civil Engineering, 450–59. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-29779-4_44.
Full textAttoh-Okine, Nii O. "Valuation-Based Systems for Pavement Management Decision Making." In International Series in Intelligent Technologies, 157–77. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5473-8_11.
Full textLan, Xin, and Xiangguo Chang. "Study on the Management Mode of Asphalt Pavement Cracks in Different Climatic Zones." In Advances in Intelligent Systems and Computing, 1299–304. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-15235-2_176.
Full textHo, Chun-Hsing, Chieh-Ping Lai, and Anas Almonnieay. "Using Geographic Information Systems and Smartphone-Based Vibration Data to Support Decision Making on Pavement Rehabilitation." In Information Processing and Management of Uncertainty in Knowledge-Based Systems, 475–85. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40596-4_40.
Full text"Maintenance and Rehabilitation of Pavements Pavement Management Systems (PMS)." In Pavement Engineering, 419–42. CRC Press, 2008. http://dx.doi.org/10.1201/9781420060317-22.
Full textEllis, R., A. Cheetham, K. Hong, and P. Thompson. "Integration of bridge management systems (BMS) and pavement management systems (PMS)." In Bridge Maintenance, Safety, Management and Life-Cycle Optimization, 233–133. CRC Press, 2010. http://dx.doi.org/10.1201/b10430-156.
Full textUddin, Waheed. "Pavement Management Systems." In The Handbook of Highway Engineering. CRC Press, 2005. http://dx.doi.org/10.1201/9781420039504.ch18.
Full textThyagarajan, Senthilmurugan. "Pavement Management Systems." In International Encyclopedia of Transportation, 524–30. Elsevier, 2021. http://dx.doi.org/10.1016/b978-0-08-102671-7.10378-1.
Full text"Basic Features of Working Systems." In Pavement Asset Management, 273–77. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2015. http://dx.doi.org/10.1002/9781119038849.ch30.
Full text"Applications of Expert Systems Technology." In Pavement Asset Management, 333–34. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2015. http://dx.doi.org/10.1002/9781119038849.ch37.
Full textConference papers on the topic "Pavement management systems (PMSs)"
Pérez Acebo, Heriberto, and Hernán Gonzalo-Orden. "IRI performance models for recently constructed low and medium-traffic two lane roads of the province of Biscay." In CIT2016. Congreso de Ingeniería del Transporte. Valencia: Universitat Politècnica València, 2016. http://dx.doi.org/10.4995/cit2016.2016.4108.
Full textM. Chang, Carlos, and Rafael A. Ramirez-Flores. "Development of Probability-Based Pavement Performance Curves for Pavement Management Systems." In Eighth International Conference on Maintenance and Rehabilitation of Pavements. Singapore: Research Publishing Services, 2016. http://dx.doi.org/10.3850/978-981-11-0449-7-114-cd.
Full textTARI, YASAMIN, and MING WANG. "Probabilistic Data-driven Assessment of Pavement Management Systems." In Structural Health Monitoring 2015. Destech Publications, 2015. http://dx.doi.org/10.12783/shm2015/298.
Full textV. Moreira, André, Joel R. M. Oliveira, Lino Costa, and Tien F. Fwa. "Assessment of Different Genetic Algorithms for Pavement Management Systems." In Eighth International Conference on Maintenance and Rehabilitation of Pavements. Singapore: Research Publishing Services, 2016. http://dx.doi.org/10.3850/978-981-11-0449-7-082-cd.
Full textLaprade, René B., and John M. Lostumbo. "Enhanced Moisture Management of Pavement Systems through Capillary Suction." In Geo-Congress 2020. Reston, VA: American Society of Civil Engineers, 2020. http://dx.doi.org/10.1061/9780784482797.057.
Full textTan, Sui G., and DingXin Cheng. "Quality Assurance of Performance Data for Pavement Management Systems." In Geo-Hubei 2014 International Conference on Sustainable Civil Infrastructure. Reston, VA: American Society of Civil Engineers, 2014. http://dx.doi.org/10.1061/9780784478462.020.
Full textAttoh-Okine, Nii O. "Potential use of valuation-based systems and networks in pavement management systems." In SPIE's International Symposium on Optical Engineering and Photonics in Aerospace Sensing, edited by Wray Buntine and Doug H. Fisher. SPIE, 1994. http://dx.doi.org/10.1117/12.169404.
Full textSobanjo, John O., and Kamal S. Tawfiq. "Framework for incorporating nondestructive evaluation (NDE) into pavement and bridge management systems." In Nondestructive Evaluation Techniques for Aging Infrastructures & Manufacturing, edited by Steven B. Chase. SPIE, 1999. http://dx.doi.org/10.1117/12.339918.
Full textNam, Le Thanh, Kengo Obama, and Kiyoshi Kobayashi. "Local mixture hazard model: A semi-parametric approach to risk management in pavement system." In 2008 IEEE International Conference on Systems, Man and Cybernetics (SMC). IEEE, 2008. http://dx.doi.org/10.1109/icsmc.2008.4811634.
Full textSuanmali, Suthathip, and Veeris Ammarapala. "Maintenance budget planning: A case study for rigid pavement maintenance system in Thailand." In 2010 7th International Conference on Service Systems and Service Management (ICSSSM 2010). IEEE, 2010. http://dx.doi.org/10.1109/icsssm.2010.5530086.
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