Relevant bibliographies by topics / Operations research-Models

Academic literature on the topic 'Operations research-Models'

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Published: 6 September 2023

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Journal articles on the topic "Operations research-Models"

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Smith, David K., and Katta G. Murty. "Operations Research: Deterministic Optimization Models." Journal of the Operational Research Society 46, no. 9 (September 1995): 1154. http://dx.doi.org/10.2307/2584503.

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Smith, David K. "Operations Research: Deterministic Optimization Models." Journal of the Operational Research Society 46, no. 9 (September 1995): 1154–55. http://dx.doi.org/10.1057/jors.1995.160.

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Goldsman, David. "Operations Research Models and Methods." IIE Transactions 35, no. 9 (September 2003): 920. http://dx.doi.org/10.1080/07408170304414.

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Jándy, Géza. "PROBLEMS OF LOCATION IN OPERATIONS RESEARCH MODELS." Papers in Regional Science 22, no. 1 (January 14, 2005): 195–202. http://dx.doi.org/10.1111/j.1435-5597.1969.tb01461.x.

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Karabuk, Suleyman, and F. Hank Grant. "A Common Medium for Programming Operations-Research Models." IEEE Software 24, no. 5 (September 2007): 39–47. http://dx.doi.org/10.1109/ms.2007.125.

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Kreines, E. M., N. M. Novikova, and I. I. Pospelova. "Multicriteria Competitive Games as Models in Operations Research." Computational Mathematics and Mathematical Physics 60, no. 9 (September 2020): 1570–87. http://dx.doi.org/10.1134/s0965542520090122.

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Stark, Robert F., Emilie M. Roth, and Michael P. Farry. "Incrementally Formalizing Graphical Models for Collaborative Operations Research." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 57, no. 1 (September 2013): 230–34. http://dx.doi.org/10.1177/1541931213571051.

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Guajardo, Mario, and Mikael Rönnqvist. "Operations research models for coalition structure in collaborative logistics." European Journal of Operational Research 240, no. 1 (January 2015): 147–59. http://dx.doi.org/10.1016/j.ejor.2014.06.015.

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Bertolazzi, Paola, Jacek Blazewicz, and Metin Turkay. "Operations Research Models for Computational Biology, Bioinformatics and Medicine." Journal of Mathematical Modelling and Algorithms 9, no. 3 (June 30, 2010): 209–11. http://dx.doi.org/10.1007/s10852-010-9135-z.

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Bleed, Peter. "Operations Research and Archaeology." American Antiquity 56, no. 1 (January 1991): 19–35. http://dx.doi.org/10.2307/280969.

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Operations research is the systematic study of resource utilization through the manipulation of conceptual models. Used most often by engineers and managers, these models also have potential application in archaeology. Event tree analysis, which models multipart systems with a number of potential consequences resulting from a series of events, makes it possible to analyze artifact-production processes or the operation of complex economic activities such as hunting. Fault tree analysis models the interactions of factors that can cause a technological system to fail. It offers a framework for the interpretation of archaeological remains such as flintlock firearm parts at Indian and Euroamerican sites of the Great Plains.
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Dissertations / Theses on the topic "Operations research-Models"

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Kight, William D. "An analysis of reasonableness models for research assessments." ScholarWorks, 2010. https://scholarworks.waldenu.edu/dissertations/719.

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Individuals who screen research grant applications often select candidates on the basis of a few key parameters; success or failure can be reduced to a series of peer-reviewed Likert scores on as little as four criteria: risk, relevance, return, and reasonableness. Despite the vital impact these assessments have upon the sponsors, researchers, and society in general as a benefactor of the research, there is little empirical research into the peer-review process. The purpose of this study was to investigate how reviewers evaluate reasonableness and how the process can be modeled in a decision support system. The research questions both address the relationship between an individual's estimates of reasonableness and the indicators of scope, resources, cost, and schedule as well as evaluate the performance of several cognitive models as predictors of reasonableness. Building upon Brunswik's theory of probabilistic functionalism, a survey methodology was used to implement a policy-capturing exercise that yielded a quantitative baseline of reasonableness estimates. The subsequent data analysis addressed the predictive performance of six cognitive models as measured by the mean-square-deviation between the models and the data. A novel mapping approach developed by von Helversen and Rieskamp, a fuzzy logic model, and an exemplar model were found to outperform classic linear regression. A neural network model and the QuickEst heuristic model did not perform as well as linear regression. This information can be used in a decision support system to improve the reliability and validity of future research assessments. The positive social impact of this work would be more efficient allocation and prioritization of increasingly scarce research funds in areas of science such as social, psychological, medical, pharmaceutical, and engineering.
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Johnston, Susan Joy. "The development of an operational management procedure for the South African west coast rock lobster fishery." Doctoral thesis, University of Cape Town, 1998. http://hdl.handle.net/11427/22567.

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This thesis considers the development of an operational management procedure (OMP) to provide scientific recommendations for commercial TAC for the South African west coast rock lobster (Jasus lalandii) fishery. This fishery has been under considerable stress in recent years as a result of overfishing and low somatic growth rates. Present catch levels, less than 2000 MT, are substantially smaller than levels recorded in the past. The present biomass (above 75mm carapace length) is estimated to be only six percent of the pristine level. At the start of this research, no long-term management strategy for the resource existed. Neither was there any robust, tested, scientific method available for setting the annual TAC for the fishery, which resulted in a time-consuming and unsatisfactory scientific debate each year in developing a series of ad hoc TAC recommendations. The work presented in this thesis is thus aimed at answering two important questions. i) Can an adequate mathematical model be developed as a basis to simulate the resource and its associated fishery? ii) Can a self-correcting robust OMP be developed for the resource? The first phase of this thesis is the development of a size-structured population model of the resource and the associated fishery. A size-structured model is necessary as lobsters are difficult to age and hence most of the data collected are on a size basis. Furthermore, important management issues, such as the legal minimum size which has changed over time, require a model able to take size-structure into account. This model is fitted to a wide range of data from the fishery, including CPUE (catch-per-unit-effort) and catch-at-size information, by maximising a likelihood function. The model is shown to fit reasonably well to all data, and to provide biologically plausible estimates for its six estimable parameters.
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蘇美子 and Mee-chi Meko So. "An operations research model and algorithm for a production planning application." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2002. http://hub.hku.hk/bib/B31226681.

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Conatser, Dean G. "Forecasting U.S. Marine Corps reenlistments by military occupational specialty and grade." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2006. http://library.nps.navy.mil/uhtbin/hyperion/06Sep%5FConatser.pdf.

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Thesis (M.S. in Operations Research)--Naval Postgraduate School, September 2006.
Thesis Advisor(s): Ronald D. Fricker. "September 2006." Includes bibliographical references (p. 49-50). Also available in print.
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Perez, Villalonga Francisco J. "Dynamic escape routes for Naval ships." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2005. http://library.nps.navy.mil/uhtbin/hyperion/05Sep%5FPerez%5FVillalonga.pdf.

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Brown, Patrick S. "Optimizing the long-term capacity expansion and protection of Iraqi oil infrastructure." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2005. http://library.nps.navy.mil/uhtbin/hyperion/05Sep%5FBrown%5FPatrick.pdf.

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Thesis (M.S. in Operations Research)--Naval Postgraduate School, September 2005.
Thesis Advisor(s): Gerald G. Brown, Curtis L. Blais. Includes bibliographical references (p. 113-117). Also available online.
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Aka, Mian. "Joint inventory/replacement policies." Case Western Reserve University School of Graduate Studies / OhioLINK, 1993. http://rave.ohiolink.edu/etdc/view?acc_num=case1057092535.

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Chu, Tyzz-shong. "Bayes reliability growth models with delayed fixes for the development testing program of a complex system." Case Western Reserve University School of Graduate Studies / OhioLINK, 1994. http://rave.ohiolink.edu/etdc/view?acc_num=case1061315890.

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Nori, Vijay S. "Algorithms for dynamic and stochastic logistics problems." Diss., Georgia Institute of Technology, 1999. http://hdl.handle.net/1853/24513.

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McElroy, Jeremy S. "Optimizing the Distribution of United States Army Officers." Thesis, Monterey, California. Naval Postgraduate School, 2005. http://hdl.handle.net/10945/1969.

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The U.S. Army distributes its 51,000 competitive category officers among manning targets specified by location, rank and skill that change over time in response to changing requirements. The officer inventory also changes over time and does not exactly match the manning target requirements. The Army responds to imbalances by redistributing officers in order to provide each location with the minimum required officers while minimizing the number of unfilled targets and excess officers at each location. This thesis focuses on branch officers, branch targets and generalist targets with ranks from Branch Qualified Captain to Colonel. Using data provided by the Army, we formulate an integer programming model called DISTRIBUTOR. When DISTRIBUTOR allows all officers in the inventory to move, it finds only 340 unfilled targets but this requires 4,688 or 28% of the inventory to move. We reduce the number of moves by using DISTRIBUTOR in two sequential steps. The first step optimally distributes officers at each location and identifies the excess officers and unfilled targets at each location. The second step takes the excess officers and distributes them to unfilled targets at other locations. The two-step leaves only 346 targets unfilled (6 more) but requires only 1,373 or 8% of the inventory to move. By allowing rank substitution DISTRIBUTOR can reduce the unfilled targets to 70.
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Books on the topic "Operations research-Models"

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Guiașu, Silviu. Probabilistic models in operations research. New York: Nova Science Publishers, 2009.

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F, Bard Jonathan, ed. Operations research models and methods. Hoboken, N.J: Wiley, 2003.

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J, Sobel Matthew, ed. Stochastic models in operations research. Mineola, NY: Dover Publication, 2004.

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Cassady, C. Richard. Probability models in operations research. Boca Raton, FL: Taylor & Francis, 2008.

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Operations research: Deterministic optimization models. Englewood Cliffs, N.J: Prentice Hall, 1995.

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D’Ecclesia, Rita L., and Stavros A. Zenios, eds. Operations Research Models in Quantitative Finance. Heidelberg: Physica-Verlag HD, 1994. http://dx.doi.org/10.1007/978-3-642-46957-2.

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E, Aronson Jay, and Zionts Stanley 1937-, eds. Operations research: Methods, models, and applications. Westport, Conn: Quorum, 1998.

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L, D'Ecclesia Rita, Zenios Stavros Andrea, and EURO Working Group on "Financial Modelling", eds. Operations research models in quantitative finance. Heidelberg: Physica-Verlag, 1994.

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Archetti, F., M. Lucertini, and P. Serafini, eds. Operations Research Models in Flexible Manufacturing Systems. Vienna: Springer Vienna, 1989. http://dx.doi.org/10.1007/978-3-7091-2654-7.

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Hillier, Frederick S. Introduction to stochastic models in operations research. New York: McGraw-Hill, 1990.

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Book chapters on the topic "Operations research-Models"

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Chow, Wing S., Sunderesh Heragu, and Andrew Kusiak. "Operations Research Models and Techniques." In Computer-Aided Production Management, 135–48. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-73318-5_9.

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Chichernea, Virgil. "Flexible Optimization: Operation Research Models and Applications." In Operations Research ’91, 512–14. Heidelberg: Physica-Verlag HD, 1992. http://dx.doi.org/10.1007/978-3-642-48417-9_142.

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Sengupta, Jati K. "Applied Stochastic Models in Operations Research." In Universitext, 206–74. Berlin, Heidelberg: Springer Berlin Heidelberg, 1985. http://dx.doi.org/10.1007/978-3-642-70163-4_6.

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Zimmermann, H. J. "Fuzzy Set Models in Operations Research." In Fuzzy Set Theory—and Its Applications, 321–67. Dordrecht: Springer Netherlands, 1996. http://dx.doi.org/10.1007/978-94-015-8702-0_14.

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Zimmermann, H. J. "Fuzzy Set Models in Operations Research." In Fuzzy Set Theory — and Its Applications, 283–332. Dordrecht: Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-015-7949-0_13.

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Zimmermann, H. J. "Fuzzy Set Models in Operations Research." In Fuzzy Set Theory — and Its Applications, 261–304. Dordrecht: Springer Netherlands, 1985. http://dx.doi.org/10.1007/978-94-015-7153-1_13.

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Queiroz, Maciel M., and Samuel Fosso Wamba. "Digital Transformation and Operations Research Models." In Managing the Digital Transformation, 63–71. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003226468-9.

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Kapur, P., and Amit Bardhan. "Statistical Models in Software Reliability and Operations Research." In Springer Handbook of Engineering Statistics, 477–96. London: Springer London, 2006. http://dx.doi.org/10.1007/978-1-84628-288-1_25.

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Arbib, C., M. Lucertini, and F. Nicolò. "Optimization Models for Flexible Manufacturing Systems." In Operations Research Models in Flexible Manufacturing Systems, 75–89. Vienna: Springer Vienna, 1989. http://dx.doi.org/10.1007/978-3-7091-2654-7_2.

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Buzacott, J. A. "Flexible Models of Flexible Manufacturing Systems." In Operations Research Models in Flexible Manufacturing Systems, 115–22. Vienna: Springer Vienna, 1989. http://dx.doi.org/10.1007/978-3-7091-2654-7_4.

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Conference papers on the topic "Operations research-Models"

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SAVANI, V. "OPTIMAL ESTIMATION OF PARAMETERS IN MARKET RESEARCH MODELS." In Computer Aided Methods in Optimal Design and Operations. WORLD SCIENTIFIC, 2006. http://dx.doi.org/10.1142/9789812772954_0009.

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Turksen, I. B. "Fuzzy expert systems models for operations research and management science." In Optical Tools for Manufacturing and Advanced Automation, edited by Bruno Bosacchi and James C. Bezdek. SPIE, 1993. http://dx.doi.org/10.1117/12.165042.

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Ramamonjison, Rindra, Haley Li, Timothy Yu, Shiqi He, Vishnu Rengan, Amin Banitalebi-dehkordi, Zirui Zhou, and Yong Zhang. "Augmenting Operations Research with Auto-Formulation of Optimization Models From Problem Descriptions." In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: Industry Track. Stroudsburg, PA, USA: Association for Computational Linguistics, 2022. http://dx.doi.org/10.18653/v1/2022.emnlp-industry.4.

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Asmuss, Svetlana, and Natalja Budkina. "Adaptation of course of operations research to needs of engineering study programmes by including specific models and examples." In 17th International Scientific Conference Engineering for Rural Development. Latvia University of Agriculture, 2018. http://dx.doi.org/10.22616/erdev2018.17.n463.

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J Gackowski, Zbigniew. "Informing for Operations: The First Principia." In InSITE 2008: Informing Science + IT Education Conference. Informing Science Institute, 2008. http://dx.doi.org/10.28945/3280.

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For more than 25 years, the framework of Ives, Hamilton, and Davis (1980) for research in computer-based (C-B) management information systems served hundreds of doctoral dissertations without yielding results of lasting validity. This paper summarizes the more lasting results from prior studies about the nature of informing for operations (whether human or robotic) as seen through the lens of decision-situation models. The model and framework of thinking about informing for operations entails fundamental concepts; basic distinctions; universal taxonomy of informing factors, their qualities, and priorities of their examination for research and practical applications; and quality requirements for factors in form and in substance. The paper summarizes the first identified principia. Informing and information, viewed physically, provides insights that clarify several controversial issues. This paper is presented to elicit challenge, critique, discussion, and suggestions in order to develop a mutual consensus among those dealing with informing.
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Hals, Torbjørn, and Nils Albert Jenssen. "DP Ice Model Test of Arctic Drillship and Polar Research Vessel." In ASME 2012 31st International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/omae2012-83352.

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The paper presents the results from a series of ice model tests performed as part of the DYPIC (Dynamic Positioning in Ice Conditions) research program. DYPIC is a research and development project within the EU’s ERA NET MARTEC project. The major purpose of the DYPIC project is development of equipment and methods for DP Ice Model testing which allows the prediction of station keeping capability of different vessel types and offshore structures under various ice conditions. The first DYPIC model tests performed in 2011 was conducted with two significantly different vessel sizes, a 68.0000 m3 volume displacement arctic drillship and an 8.600 m3 polar research vessel. The model scale was 1/30 for the arctic drillship and 1/18.6 for the Polar Research Vessel. The model tests were performed in the ice model basin at HSVA using vessel models equipped with thruster capacity similar to full scale operation according to DP class 2 / 3 operations. The DP control system was also modified from normal open water DP operations in order to cope with the highly varying ice drift loads acting on the vessel. The test program gave data supporting the development of numerical models of ice loads from managed ice, see reference [6]. The main focus in this paper is on the station keeping performance and associated thrust utilization as a function of varying ice drift loads. The results and data collected in the first year of the DYPIC program demonstrates that DP ice model tests will be a valuable tool for evaluation of vessel performance prior to moving on to full scale arctic DP operations.
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Onyancha, Richard M., and Brad L. Kinsey. "Investigation of Size Effects on Process Models for Plane Strain Microbending." In ASME 2006 International Manufacturing Science and Engineering Conference. ASMEDC, 2006. http://dx.doi.org/10.1115/msec2006-21030.

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Accurate process models provide vital information in the design of manufacturing processes. To characterize bending operations, analytical models have been developed and shown to predict the peak bending forces fairly accurately for sheets in the macro or mesoscale (i.e. sheets with a large number of grains through the thickness). However, whether these models also accurately predict bending forces for sheets in the microscale (i.e. sheets with approximately ten grains or less through the thickness) has not been evaluated. The present study is aimed at investigating the use of two such models from previous work with microscale bending data. In addition, using these previous models as a foundation, additional bending force models were developed to predict the bending force specifically for microscale bending operations. Data analysis showed that the process models from past research, which provide accurate results for macroscale bending, over predict the peak force required for bending microscale sheets. These process models assume a non-linear strain distribution through the thickness and a curved formed wall. The two models developed in this research provide accurate results for the microscale bending tests, however, they under predict the peak force for the macroscale bending operation. These developed process models assume a linear strain distribution through the thickness and a straight formed wall. The linear strain distribution is more appropriate for the microscale bending process as there are few grains through the thickness and the strain in individual grains varies linearly across the grain. The straight formed wall is more appropriate for the microscale bending process as there is not sufficient distance to warrant a curved formed wall assumption. These differences represent size effects for assumptions in the process models. The material used for these investigations was Brass (CuZn15). The sheets had between 2 and 50 grains through the thickness with grain sizes of between 10 μm and 71 μm.
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Vlastaridou, Anastasia, Christos Mpafas, Georgios Melidis, and Michail Glykas. "Industry 4.0 Process-Operations Management Maturity Assessment: A Literature Survey." In Sixth International Scientific Conference ITEMA Recent Advances in Information Technology, Tourism, Economics, Management and Agriculture. Association of Economists and Managers of the Balkans, Belgrade, Serbia, 2022. http://dx.doi.org/10.31410/itema.2022.335.

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The aim is to demonstrate the necessity of evaluating industry 4.0 maturity in order to discover capabilities and opportunities for potential ongoing improvements to company operation management. There will be a thorough review of the literature in the areas of operations management and Industry 4.0. Because there aren’t enough tools and terms to help firms assess their attempts to undergo digital transformation, the paper’s find­ings show that they are unable to establish their Industry 4.0 maturity level. It is critical to assess their effectiveness and develop strategies and practices that work by employing evaluation frameworks and models. A digital trans­formation maturity model is necessary. There is no prior research that offers a comprehensive examination.
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Bentsos, Christos. "Financial and Energy Markets: Effects on Shipping Industry." In SNAME 7th International Symposium on Ship Operations, Management and Economics. SNAME, 2021. http://dx.doi.org/10.5957/some-2021-009.

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This paper examines the extent of which the financial and energy markets affect the performance of shipping industry. An empirical research is conducted by regressing the returns of the shipping industry’s variables on the returns of financial market’s variables and the returns of energy market’s variables. The data will be weekly and refer to a seven-year period from July 2013 up to July 2019. Vector autoregressive models will be employed to explore the Granger causality, and the variance decomposition for each variable. The same procedure will be used in order to test the causality between the variables’ volatility.
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Taghavi, Mahmood, and Lokukaluge Prasad Perera. "Data Driven Digital Twin Applications Towards Green Ship Operations." In ASME 2022 41st International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/omae2022-78775.

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Abstract Due to the growing rate of energy consumption and its consequent emissions, the International Maritime Organization (IMO) has devised strict rules for an extensive reduction in Greenhouse Emissions (GHG), which forces the shipping industry to search for more energy-efficient solutions. Therefore, alongside with the Energy Efficiency Design Index (EEDI), improving the energy efficiency of existing ships under the Energy Efficiency Existing Ship Index (EEXI) is of considerable importance. This paper address this issue by proposing a digital twin framework supported by big data analytics for ship performance monitoring. The proposed framework is developed by the respective data sets from a selected vessel. For this purpose, a cluster analysis is implemented using the Gaussian Mixture Models (GMMs) with the Expectation Maximization (EM) algorithm. By this approach, the most frequent operating regions of the engine is detected, the shapes of these frequent operating regions are captured, and the relationships between different navigation and performance parameters of the engine are determined. That will make the basis for a digital twin application in shipping. The main objective of this research study is to develop a digital twin of a marine engine by considering the engine operational conditions that can be utilized toward green ship operations. The contribution of this paper and the outcomes can facilitate the shipping industry to meet the IMO requirements enforced by its regulations.
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Reports on the topic "Operations research-Models"

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Ward, Andrew, Anthony Falls, and Craig Rutland. Development of smartphone-based semi-prepared runway operations (SPRO) models and methods. Engineer Research and Development Center (U.S.), December 2021. http://dx.doi.org/10.21079/11681/42500.

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The U.S. Army Engineer Research and Development Center (ERDC) has developed a method for predicting surface friction response by use of ground vehicles equipped with deceleration-based measurement devices. Specifically, the ERDC has developed models and measurement methods between the Findlay Irvine Mk2 GripTester and a variety of deceleration measurement devices: Bowmonk AFM2 Mk3, Xsens MTi-G-710, two Android smartphones, and two iOS smartphones. These models show positive correlation between ground vehicle deceleration and fixed-slip surface continuous surface friction measurement. This effort extends prior work conducted by the U.S. Army ERDC in developing highly correlative models between the Findlay Irvine Mk2 GripTester and actual C-17 braking deceleration, measured via the runway condition rating (RCR) system. The models and measurement methods detailed here are of considerable use to semi-prepared airfield managers around the world needing to measure safe landing conditions following inclement weather. This work provides the tools necessary for airfield managers to quantify safe landing conditions for C-17 aircraft by using easily obtainable equipment and simple test standards.
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Arhin, Stephen, Babin Manandhar, Kevin Obike, and Melissa Anderson. Impact of Dedicated Bus Lanes on Intersection Operations and Travel Time Model Development. Mineta Transportation Institute, June 2022. http://dx.doi.org/10.31979/mti.2022.2040.

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Over the years, public transit agencies have been trying to improve their operations by continuously evaluating best practices to better serve patrons. Washington Metropolitan Area Transit Authority (WMATA) oversees the transit bus operations in the Washington Metropolitan Area (District of Columbia, some parts of Maryland and Virginia). One practice attempted by WMATA to improve bus travel time and transit reliability has been the implementation of designated bus lanes (DBLs). The District Department of Transportation (DDOT) implemented a bus priority program on selected corridors in the District of Columbia leading to the installation of red-painted DBLs on corridors of H Street, NW, and I Street, NW. This study evaluates the impacts on the performance of transit buses along with the general traffic performance at intersections on corridors with DBLs installed in Washington, DC by using a “before” and “after” approach. The team utilized non-intrusive video data to perform vehicular turning movement counts to assess the traffic flow and delays (measures of effectiveness) with a traffic simulation software. Furthermore, the team analyzed the Automatic Vehicle Locator (AVL) data provided by WMATA for buses operating on the study segments to evaluate bus travel time. The statistical analysis showed that the vehicles traveling on H Street and I Street (NW) experienced significantly lower delays during both AM (7:00–9:30 AM) and PM (4:00–6:30 PM) peak hours after the installation of bus lanes. The approximation error metrics (normalized squared errors) for the testing dataset was 0.97, indicating that the model was predicting bus travel times based on unknown data with great accuracy. WMATA can apply this research to other segments with busy bus schedules and multiple routes to evaluate the need for DBLs. Neural network models can also be used to approximate bus travel times on segments by simulating scenarios with DBLs to obtain accurate bus travel times. Such implementation could not only improve WMATA’s bus service and reliability but also alleviate general traffic delays.
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Merkulova, Yuliya. Система цифровых моделей - новая технология для баланса данных. Yuliya Merkulova, April 2021. http://dx.doi.org/10.12731/er0430.26042021.

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Use of the digital technologies is new and very productive approach for balance of different data. It is very important for balance of supply and demand and for increase of competitiveness of products. Various types of digital models were developed as a result of scientific research, they found reflection in article. Digital models for the description of the list of the sequences of steps and operations of various stages and process in general allow to install system of interrelations between operations and steps and to reach necessary log-ic, increase of effectiveness of any process. Object-relational models for establishment of communications between data of various blocks of databases and functional models of the choice of strategy of data balance form analytical base for justification of the choice of the direction of transformation of data. Models of a combination of a plurality of various data of the offer of products in the form of matrixes of multi-purpose optimization have double effect, because they allow not only to develop various options of data combina-tion, taking into account opportunities of change of location of products over the markets and temporary phases, but also to estimate aggregate useful effect from products. These models together with models of comparison of various options and the choice of optimal solutions allow to generate compatible strategic and current programs of the offer of products as a plurality of the output data balanced with each other and with data of demand. It is providing the best synergetic result. The developed methodology of creation of system of the interconnected digital models for transformation of data and generation of the output data of the situational-strategic program of the offer of products is a cornerstone of formation of new digital econ-omy – of economy of balanced data.
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Olsen and Wilson. L52145 Geomechanical Analysis and Design Considerations for Thin-Bedded Salt Caverns. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), December 2005. http://dx.doi.org/10.55274/r0011349.

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he bedded salt formations located throughout the United States are layered and interspersed with non-salt materials such as anhydrite, shale, dolomite and limestone. The salt layers often contain significant impurities. GRI and DOE have initialized this research proposal in order to increase the gas storage capabilities by providing operators with improved geotechnical design and operating guidelines for thin bedded salt caverns. Terralog has summarized the geologic conditions, pressure conditions and critical design factors that may lead to: Fracture in heterogeneous materials; Differential deformation and bedding plane slip; Propagation of damage around single and multiple cavern; Improved design recommendations for single and multiple cavern configurations in various bedded salt environments. The existing caverns within both the Permian Basin Complex and the Michigan and Appalachian Basins are normally found between 300 m to 1,000 m (1,000 ft to 3,300 ft) depth depending on local geology and salt dissolution depth. Currently, active cavern operations are found in the Midland and Anadarko Basins within the Permian Basin Complex and in the Appalachian and Michigan Basins. The Palo Duro and Delaware Basins within the Permian Basin Complex also offer salt cavern development potential. Terralog developed a number of numerical models for caverns located in thin bedded salt. A modified creep viscoplastic model has been developed and implemented in Flac3D to simulate the response of salt at the Permian, Michigan and Appalachian Basins. The formulation of the viscoplastic salt model, which is based on an empirical creep law developed for Waste Isolation Pilot Plant (WIPP) Program, is combined with the Drucker-Prager model to include the formation of damage and failure. The Permian salt lab test data provided by Pfeifle et al. 1983, are used to validate the assumptions made in the material model development. For the actual cavern simulations two baseline models are developed for single and multiple caverns, respectively. Different parameters that affect damage propagation and deformation of salt cavern, such as cavern pressure, operating conditions, cavern height/diameter ratio, overburden stiffness and roof thickness are analyzed and the respective results summarized. For multiple horizontal caverns numerical models are developed to determine the cavern interaction and the minimum safe center to center distance. A step by step methodology for operators to assess critical cavern design parameters for thin bedded salt formations is also presented.
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Ahmad, Noshin S., Raul Pineda-Mendez, Fahad Alqahtani, Mario Romero, Jose Thomaz, and Andrew P. Tarko. Effective Design and Operation of Pedestrian Crossings. Purdue University, 2022. http://dx.doi.org/10.5703/1288284317438.

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Pedestrians are vulnerable road users since they are prone to more severe injuries in any vehicular collision. While innovative solutions promise improved pedestrian safety, a careful analysis of local conditions is required before selecting proper corrective measures. This research study had two focuses: (1) methodology to identify roads and areas in Indiana where the frequency and severity of pedestrian collisions are heightened above the acceptable level, and (2) selecting effective countermeasures to mitigate or eliminate safety-critical conditions. Two general methods of identifying specific pedestrian safety concerns were proposed: (1) area-wide analysis, and (2) road-focused analysis. A suitable tool, Safety Needs Analysis Program (SNAP), is currently under development by the research team and is likely the future method to implement an area-wide type of analysis. The following models have been developed to facilitate the road-focused analysis: (1) pedestrian crossing activity level to fill the gap in pedestrian traffic data, and (2) crash probability and severity models to estimate the risk of pedestrian crashes around urban intersections in Indiana. The pedestrian safety model was effectively utilized in screening and identifying high-risk urban intersection segments for safety audits and improvements. In addition, detailed guidance was provided for many potential pedestrian safety countermeasures with specific behavioral and road conditions that justify these countermeasures. Furthermore, a procedure was presented to predict the economic feasibility of the countermeasures based on crash reduction factors. The findings of this study should help expand the existing RoadHAT tool used by the Indiana Department of Transportation (INDOT) to emphasize and strengthen pedestrian safety considerations in the current tool.
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Tandon, Samarth, Pablo Cazenave, and Ming Gao. PR-328-103602-R01 Improved Site-Selection Modeling by Correlating ILI with Operational-Geotechnical Data. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), September 2017. http://dx.doi.org/10.55274/r0010854.

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The primary objective of the research is to establish better correlations between SCC severity and operational and geotechnical characteristics, and to develop improved models for site-selection for SCCDA excavations, hydrostatic testing or in-line inspection (ILI). This report summarizes the modeling efforts and results, gaps and direction for future studies.
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Becker, Sarah, Megan Maloney, and Andrew Griffin. A multi-biome study of tree cover detection using the Forest Cover Index. Engineer Research and Development Center (U.S.), September 2021. http://dx.doi.org/10.21079/11681/42003.

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Tree cover maps derived from satellite and aerial imagery directly support civil and military operations. However, distinguishing tree cover from other vegetative land covers is an analytical challenge. While the commonly used Normalized Difference Vegetation Index (NDVI) can identify vegetative cover, it does not consistently distinguish between tree and low-stature vegetation. The Forest Cover Index (FCI) algorithm was developed to take the multiplicative product of the red and near infrared bands and apply a threshold to separate tree cover from non-tree cover in multispectral imagery (MSI). Previous testing focused on one study site using 2-m resolution commercial MSI from WorldView-2 and 30-m resolution imagery from Landsat-7. New testing in this work used 3-m imagery from PlanetScope and 10-m imagery from Sentinel-2 in imagery in sites across 12 biomes in South and Central America and North Korea. Overall accuracy ranged between 23% and 97% for Sentinel-2 imagery and between 51% and 98% for PlanetScope imagery. Future research will focus on automating the identification of the threshold that separates tree from other land covers, exploring use of the output for machine learning applications, and incorporating ancillary data such as digital surface models and existing tree cover maps.
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Hovakimyan, Naira, Hunmin Kim, Wenbin Wan, and Chuyuan Tao. Safe Operation of Connected Vehicles in Complex and Unforeseen Environments. Illinois Center for Transportation, August 2022. http://dx.doi.org/10.36501/0197-9191/22-016.

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Autonomous vehicles (AVs) have a great potential to transform the way we live and work, significantly reducing traffic accidents and harmful emissions on the one hand and enhancing travel efficiency and fuel economy on the other. Nevertheless, the safe and efficient control of AVs is still challenging because AVs operate in dynamic environments with unforeseen challenges. This project aimed to advance the state-of-the-art by designing a proactive/reactive adaptation and learning architecture for connected vehicles, unifying techniques in spatiotemporal data fusion, machine learning, and robust adaptive control. By leveraging data shared over a cloud network available to all entities, vehicles proactively adapted to new environments on the proactive level, thus coping with large-scale environmental changes. On the reactive level, control-barrier-function-based robust adaptive control with machine learning improved the performance around nominal models, providing performance and control certificates. The proposed research shaped a robust foundation for autonomous driving on cloud-connected highways of the future.
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Lam, Michael-Angelo Y. H., Matt Malej, and Fengyan Shi. Operational modeling of large container-type vessel-generated waves with related erosion and scour effects. Engineer Research and Development Center (U.S.), September 2022. http://dx.doi.org/10.21079/11681/45483.

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In this report, the US Army Engineer Research and Development Center, Coastal and Hydraulics Laboratory, presents a numerical modeling study using FUNWAVE-TVD to investigate ship-induced waves of large container-type vessels with related erosion and scour effects. The new vessel wake generating models implemented in the FUNWAVE-TVD Vessel Module are presented and validated against field data in the Sabine-Neches Waterway, Texas. Utilizing the Sediment Transport and Morphology Change Modules, ship wake-induced erosion is analyzed to assess potential impacts to Sabine-to-Galveston Hurricane Flood Protection Systems.
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Chen, Xin, Yanfeng Ouyang, Ebrahim Arian, Haolin Yang, and Xingyu Ba. Modeling and Testing Autonomous and Shared Multimodal Mobility Services for Low-Density Rural Areas. Illinois Center for Transportation, August 2022. http://dx.doi.org/10.36501/0197-9191/22-013.

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Recent developments in transformative technologies hold the promise to provide holistic solutions for affordable transportation services to rural areas and thus greatly alleviate existing social inequality through efficient planning and management of complex transportation systems and systemwide interactions among multiple modes. To realize the promise, many challenging research questions need to be addressed, which often leads to computationally intractable, large-scale, dynamic/stochastic, discrete optimization models. This project proposes to address some of the challenges by building a series of holistic and tractable models on the design of mobility services, capacity planning, dynamic matching, and routing, as well as pricing. The proposed project is expected to create a new series of planning and management models that can support strategical and operational decisions for large-scale autonomous and shared mobility systems in rural areas. The planned case study and simulation for the Village of Rantoul, Illinois, will lay the foundation for future field implementation.
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