Relevant bibliographies by topics / Transportation Mathematical models

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Transportation Mathematical models'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 August 2024

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Journal articles on the topic "Transportation Mathematical models"

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Barceló, Jaume. "A survey of some mathematical programming models in transportation." Top 5, no. 1 (June 1997): 1–40. http://dx.doi.org/10.1007/bf02568528.

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Wang, Yishan, Yushu Cui, Zihan Kong, Xingxin Liao, and Weiran Wang. "Design of Public Transportation System Scheduling and Optimization in the Internet of Things (IoT) Environment." Advances in Engineering Technology Research 9, no. 1 (December 25, 2023): 89. http://dx.doi.org/10.56028/aetr.9.1.89.2024.

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This study aims to explore the scheduling and optimization of public transportation systems in the Internet of Things (IoT) environment. By establishing mathematical models, this research analyzes the current state of public transportation systems, proposes scheduling and optimization strategies based on mathematical models, and validates the effectiveness of these strategies through case studies. The research findings indicate that mathematical models have significant potential in improving public transportation efficiency, reducing costs, promoting environmental sustainability, and enhancing
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Makhova, Larisa, Mark Haykin, Irina Glazkova, and Olga Domnina. "Development of Mathematical Models for Trucks and Cargo." Infrastructures 8, no. 2 (January 28, 2023): 17. http://dx.doi.org/10.3390/infrastructures8020017.

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International trade allows countries to expand their markets and access goods and services that otherwise may not have been domestically available. As a result of international trade, the market is more competitive. This ultimately results in more competitive pricing and brings a cheaper product home to the consumer. The development of mathematical models to optimize the delivery of goods using a limited number of trucks is an urgent task for researchers around the world. The research goal was to use a developed mathematical model that allows one to optimize the performance of transportation t
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Cao, Junfang. "Mathematical Model and Algorithm of Multi-Index Transportation Problem in the Background of Artificial Intelligence." Journal of Advanced Transportation 2022 (April 26, 2022): 1–11. http://dx.doi.org/10.1155/2022/3664105.

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The development of artificial intelligence has brought rapid changes to human life and brought great convenience to human activities. The development of various modes of transportation has also brought convenience to people’s travel and commodity transactions, but it has also added more issues that need to be carefully considered. Because of the diversification of transportation methods, transportation problems also arise many fields, such as air transportation, water transportation, and land transportation. The development of mathematical models and algorithms for transportation problems is a
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Cao, Junfang. "Mathematical Model and Algorithm of Multi-Index Transportation Problem in the Background of Artificial Intelligence." Journal of Advanced Transportation 2022 (April 26, 2022): 1–11. http://dx.doi.org/10.1155/2022/3664105.

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The development of artificial intelligence has brought rapid changes to human life and brought great convenience to human activities. The development of various modes of transportation has also brought convenience to people’s travel and commodity transactions, but it has also added more issues that need to be carefully considered. Because of the diversification of transportation methods, transportation problems also arise many fields, such as air transportation, water transportation, and land transportation. The development of mathematical models and algorithms for transportation problems is a
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Jacob, C., F. Charras, X. Trosseille, J. Hamon, M. Pajon, and J. Y. Lecoz. "Mathematical models integral rating." International Journal of Crashworthiness 5, no. 4 (January 2000): 417–32. http://dx.doi.org/10.1533/cras.2000.0152.

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Zuo, Li. "Study on Mathematical Model of Freight Transportation Logistic Control." Applied Mechanics and Materials 178-181 (May 2012): 2573–76. http://dx.doi.org/10.4028/www.scientific.net/amm.178-181.2573.

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Freight transportation activities in the present circumstances are closely related to a larger context of logistics decision-making, but logistic requirement is not relevant to all types of goods. Most existing freight transport demand models used for mode and route selection still focus only on the direct factors. This paper discusses the taxonomy of logistic and transport models, and the factors can be incorporated into freight transport demand models in order to improve the forecasting capability of the model.
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Zandieh, M., and S. Molla-Alizadeh-Zavardehi. "Synchronizing production and air transportation scheduling using mathematical programming models." Journal of Computational and Applied Mathematics 230, no. 2 (August 2009): 546–58. http://dx.doi.org/10.1016/j.cam.2008.12.022.

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Naderi, B., A. Ahmadi Javid, and F. Jolai. "Permutation flowshops with transportation times: mathematical models and solution methods." International Journal of Advanced Manufacturing Technology 46, no. 5-8 (July 2, 2009): 631–47. http://dx.doi.org/10.1007/s00170-009-2122-8.

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Patriksson, Michael. "Robust bi-level optimization models in transportation science." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 366, no. 1872 (March 10, 2008): 1989–2004. http://dx.doi.org/10.1098/rsta.2008.0007.

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Mathematical programmes with equilibrium constraints (MPECs) constitute important modelling tools for network flow problems, as they place ‘what-if’ analyses in a proper mathematical framework. We consider a class of stochastic MPEC traffic models that explicitly incorporate possible uncertainties in travel costs and demands. In stochastic programming terminology, we consider ‘here-and-now’ models where decisions must be made before observing the uncertain parameter values and the responses of the network users; the objective is to minimize the expectation of the upper-level objective function
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Dissertations / Theses on the topic "Transportation Mathematical models"

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Abdelghany, Ahmed F. "Dynamic micro-assignment of travel demand with activity/trip chains." Full text (PDF) from UMI/Dissertation Abstracts International Access restricted to users with UT Austin EID, 2001. http://wwwlib.umi.com/cr/utexas/fullcit?p3023538.

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Morales, Juan Carlos. "Planning Robust Freight Transportation Operations." Diss., Georgia Institute of Technology, 2006. http://hdl.handle.net/1853/14107.

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This research focuses on fleet management in freight transportation systems. Effective management requires effective planning and control decisions. Plans are often generated using estimates of how the system will evolve in the future; during execution, control decisions need to be made to account for differences between actual realizations and estimates. The benefits of minimum cost plans can be negated by performing costly adjustments during the operational phase. A planning approach that permits effective control during execution is proposed in this dissertation. This approach is inspired b
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Kim, Kihong. "Recent Advances in Activity-Based Travel Demand Models for Greater Flexibility." PDXScholar, 2018. https://pdxscholar.library.pdx.edu/open_access_etds/4225.

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Most existing activity-based travel demand models are implemented in a tour-based microsimulation framework. Due to the significant computational and data storage benefits, the demand microsimulation allows a greater amount of flexibility in terms of demographic market segmentation, temporal scale, and spatial resolution, and thus the models can represent a wider range of travel behavior aspects associated with various policies and scenarios. This dissertation proposes three innovative methodologies, one for each of the three key dimensions, to fulfill the greater level of details toward a mor
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Xu, Suxiu, and 徐素秀. "Truthful, efficient auctions for transportation procurement." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2014. http://hdl.handle.net/10722/206443.

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Transportation procurement problem (TPP) is the problem of setting transportation service prices, delivery timing and quantity, and controlling costs and capacity to reduce empty movements and improve market efficiency. The purchase of transportation service is traditionally achieved using a request for proposal and long-term contracts. However, as business relationships become ever more flexible and dynamic, there has been an increasing need to hedge the risks of traditional transportation procurement such as entrance of new carriers and sudden drop in fuel price. This thesis proposes a holis
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Fischer, Manfred M. "Computational Neural Networks: An attractive class of mathematical models for transportation research." WU Vienna University of Economics and Business, 1997. http://epub.wu.ac.at/4158/1/WSG_DP_5797.pdf.

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Zhang, Lu, and 張露. "An integrated approach to empty container repositioning and vessel routing in marine transportation." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2014. http://hdl.handle.net/10722/206354.

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Cramer, Jay Alan 1957. "APPLICATION OF POLYHEDRAL DYNAMICS TO PEDESTRIAN ACCIDENTS (TRANSPORTATION)." Thesis, The University of Arizona, 1986. http://hdl.handle.net/10150/277115.

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Qin, Jiefeng. "System dynamics representation of catastrophe and its application to transportation." Thesis, This resource online, 1992. http://scholar.lib.vt.edu/theses/available/etd-05042010-020251/.

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Jiang, Yu, and 姜宇. "Reliability-based transit assignment : formulations, solution methods, and network design applications." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2014. http://hdl.handle.net/10722/207991.

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Foucart, Renaud. "Essays in product diversity and urban transportation." Doctoral thesis, Universite Libre de Bruxelles, 2012. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/209677.

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This dissertation is about games with a continuum of players and horizontal differentiation. The first chapter explains how price dispersion can be a feature of a competitive market with homogenous information and production costs. The second chapter extends the study to group consumption. The third chapter is about multiple equilibria in urban transportation.<br>Doctorat en Sciences économiques et de gestion<br>info:eu-repo/semantics/nonPublished
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Books on the topic "Transportation Mathematical models"

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National Research Council (U.S.). Transportation Research Board., ed. Transportation logistics. Washington, D.C: Transportation Research Board, National Research Council, 1987.

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1967-, Levinson David M., ed. Evolving transportation networks. New York: Springer, 2011.

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service), SpringerLink (Online, ed. Transportation Systems Analysis: Models and Applications. Boston, MA: Springer Science+Business Media, LLC, 2009.

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Teodorović, D. Transportation networks: A quantitative treatment. New York: Gordon and Breach Science Publishers, 1986.

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1958-, Labbé Martine, North Atlantic Treaty Organization. Scientific Affairs Division., and NATO Advanced Study Institute on Operations Research and Decision Aid Methodologies in Traffic and Transportation Management (1997 : Balatonfüred, Hungary), eds. Operations research and decision aid methodologies in traffic and transportation management. Berlin: Springer, 1998.

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Keith, Nancy K. Estimating aggregation errors in transportation problems. West Lafayette, Ind: Institute for Research in the Behavioral, Economic, and Management Sciences, Krannert Graduate School of Management, Purdue University, 1986.

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Tommy, Gärling, Laitila Thomas, and Westin Kerstin, eds. Theoretical foundations of travel choice modeling. Amsterdam: Elsevier, 1998.

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Horowitz, Alan J. Statewide travel forecasting models. Washington, D.C: Transportation Research Board, 2006.

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Buttazzo, Giuseppe. Optimal urban networks via mass transportation. Berlin: Springer, 2008.

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Ran, Bin. Modeling dynamic transportation networks: An intelligent transportation system oriented approach. 2nd ed. Berlin: Springer, 1996.

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Book chapters on the topic "Transportation Mathematical models"

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Daganzo, Carlos F. "Mathematical Specification of Transportation Models." In Measuring the Unmeasurable, 663–78. Dordrecht: Springer Netherlands, 1985. http://dx.doi.org/10.1007/978-94-009-5079-5_28.

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Florian, Michael. "Nonlinear cost network models in transportation analysis." In Mathematical Programming Studies, 167–96. Berlin, Heidelberg: Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/bfb0121092.

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Schmand, Daniel. "Recent Developments in Mathematical Traffic Models." In Dynamics in Logistics, 71–87. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-88662-2_4.

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AbstractPredictions such as forecasts of congestion effects in transportation networks can be based on complex simulations that include many aspects of actual transportation systems. On the other hand, rigorous mathematical traffic models give rise to theoretical analyses, very general statements, and various traffic optimization opportunities. There has been a huge development in the last years to make mathematical traffic models more realistic. This chapter provides an overview of the mathematical traffic models developed recently and some state-of-the-art results.
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Crainic, Teodor Gabriel. "Service Design Models for Rail Intermodel Transportation." In Lecture Notes in Economics and Mathematical Systems, 53–67. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-92944-4_4.

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Kim, Daeki, and Cynthia Barnhart. "Transportation Service Network Design: Models and Algorithms." In Lecture Notes in Economics and Mathematical Systems, 259–83. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-85970-0_13.

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Moiseenko, Valentin, Volodymyr Butenko, Oleksandra Golovko, Oleksandr Kameniev, and Vitalii Gaievskyi. "Mathematical Models of the System Integration and Structural Unification of Specialized Railway Computer Systems." In ICTE in Transportation and Logistics 2019, 129–36. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39688-6_18.

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Hajiyev, Asaf, Narmina Abdullayeva, and Turan Mammadov. "Mathematical Models of Queues with Moving Servers: Simple Vertical Transportation Systems." In Lecture Notes in Electrical Engineering, 529–47. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-4600-1_46.

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Yarmoshik, Demyan, and Michael Persiianov. "On the Application of Saddle-Point Methods for Combined Equilibrium Transportation Models." In Mathematical Optimization Theory and Operations Research, 432–48. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-62792-7_29.

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Bąk, Marcin, Piotr Patrosz, Paweł Śliwiński, Paweł Załuski, and Mykola Karpenko. "Comparison of Mathematical Models of Torque Transmitted by Multi-disc Wet Clutch with Experimental Results." In TRANSBALTICA XIII: Transportation Science and Technology, 383–92. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-25863-3_36.

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Bertazzi, Luca, and Maria Grazia Speranza. "Models and Algorithms for the Minimization of Inventory and Transportation Costs: A Survey." In Lecture Notes in Economics and Mathematical Systems, 137–57. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-58568-5_7.

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Conference papers on the topic "Transportation Mathematical models"

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Jensen, Emily, Maya Luster, Hansol Yoon, Brandon Pitts, and Sriram Sankaranarayanan. "Mathematical Models of Human Drivers Using Artificial Risk Fields." In 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC). IEEE, 2022. http://dx.doi.org/10.1109/itsc55140.2022.9922389.

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Grebennik, Igor, Olga Chorna, and Inna Urniaieva. "Distribution of Permutations with Different Cyclic Structure in Mathematical Models of Transportation Problems." In 2022 12th International Conference on Advanced Computer Information Technologies (ACIT). IEEE, 2022. http://dx.doi.org/10.1109/acit54803.2022.9913183.

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Huang, Kai, Yu Gu, Haoming Yang, Kun An, and Zhiyuan Liu. "Mathematical Models for the Matching and Routing Problem of Customized Bus Service with Multiple Origins and Destinations." In 17th COTA International Conference of Transportation Professionals. Reston, VA: American Society of Civil Engineers, 2018. http://dx.doi.org/10.1061/9780784480915.288.

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He, Linwei, Dawei Hu, Xiqiong Chen, and Xu Zhou. "Comparison of Various Mathematical Models for Vehicle Routing Problem with Simultaneous Pickups and Deliveries with Time Window." In 22nd COTA International Conference of Transportation Professionals. Reston, VA: American Society of Civil Engineers, 2022. http://dx.doi.org/10.1061/9780784484265.292.

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Kostogryzov, Andrey, Vladimir Krylov, Andrey Nistratov, George Nistratov, Vladimir Popov, and Pavel Stepanov. "Mathematical Models and Applicable Technologies to Forecast, Analyze, and Optimize Quality and Risks for Complex Systems." In First International Conference on Transportation Information and Safety (ICTIS). Reston, VA: American Society of Civil Engineers, 2011. http://dx.doi.org/10.1061/41177(415)107.

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Chi, Xiaopeng. "A Multivariate Decision-Making Mathematical Models Based on the Fuzzy Mathematics Theory and Comprehensive Coordination of Statistics for Evaluating the Quality of Physical Education." In 2015 International Conference on Intelligent Transportation, Big Data & Smart City (ICITBS). IEEE, 2015. http://dx.doi.org/10.1109/icitbs.2015.12.

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Lyapin, Sergey, Yulia Rizaeva, Dmitry Kadasev, and Irina Kadaseva. "Models for Ensuring the Minimum Arrival Time of Accident Response Services in Intelligent Transportation and Logistics System." In 2020 2nd International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA). IEEE, 2020. http://dx.doi.org/10.1109/summa50634.2020.9280810.

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Ristevski, Stefan, and Melih Çakmakcı. "Mathematical Model for Coordinated Motion of Modular Mechatronic Devices (MechaCells)." In ASME 2015 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/dscc2015-9896.

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Manufacturing techniques have advanced exponentially in recent years, providing means for micro even nano scale manufacturing of different structures. Mechanical and electrical components are being manufactured at micro/nano scale, producing amazing opportunities in micro/nano modular robot development, for modules that are smaller and more powerful. Development of mathematical models for such modular devices is an important step in the design and development of control strategies for coordinated movement. A mathematical model for modular mechatronic device, MechaCell was developed, in which t
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Yuan, Qing, Zhiming Wu, Wang Li, Bo Yu, and Changchun Wu. "Comparative Study on Atmospheric Temperature Models for the Buried Hot Oil Pipeline." In 2018 12th International Pipeline Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/ipc2018-78451.

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In previous studies, the atmospheric temperature was generally assumed to be constant during a period (commonly a month) for the numerical simulation on the buried hot oil pipeline. The rationality of this assumption is controversial due to the absence of quantitative results, and thus it needs to be further verified or investigated to make atmospheric temperature approximation more convincing. In this study, based on the changing trend of actual atmospheric temperature, three mathematical models are established and their expressions are presented according to different approximations. And the
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Abdou, Hesham A. M. "Managing of a Strategic Crude Oil Pipeline for Maximum Transportation Capacity." In ASME 2013 India Oil and Gas Pipeline Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/iogpc2013-9802.

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The aged crude oil pipeline; 16″ × 166 km since November 1984, extends from Meleiha field at western desert to El-Hamra terminal at coast of the Mediterranean sea. Its original capacity was 100,000 BOPD using two pumping stations; one at Meleiha and the other is a boosting station, 83 km far from Meleiha. Planned pumped flow rate increased to 177,000 BOPD at the time that Maximum Allowable Working Pressure (MAWP) reduced from 1440 psi to 950 psi. This paper shows managing procedures led to pumping higher flow rate without exceeding MAWP, where two solutions to accommodate such increase in prod
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Reports on the topic "Transportation Mathematical models"

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Perdigão, Rui A. P. Beyond Quantum Security with Emerging Pathways in Information Physics and Complexity. Synergistic Manifolds, June 2022. http://dx.doi.org/10.46337/220602.

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Information security and associated vulnerabilities have long been a pressing challenge, from the fundamental scientific backstage to the frontline across the most diverse sectors of society. At the tip of the iceberg of this problem, the citizens immediately feel that the reservation of privacy and the degradation of the quality and security of the information and communication on which they depend for the day-to-day activities, already of crucial relevance, are at stake. Naturally though, the challenges do not end there. There is a whole infrastructure for storing information, processing and
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