Relevant bibliographies by topics / Transportation, Automotive Dispatching Mathematical models

Academic literature on the topic 'Transportation, Automotive Dispatching Mathematical models'

Author: Grafiati
Published: 10 December 2022
Last updated: 29 January 2023

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Journal articles on the topic "Transportation, Automotive Dispatching Mathematical models"

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Díaz-Parra, Ocotlán, Jorge A. Ruiz-Vanoye, Beatriz Bernábe Loranca, Alejandro Fuentes-Penna, and Ricardo A. Barrera-Cámara. "A Survey of Transportation Problems." Journal of Applied Mathematics 2014 (2014): 1–17. http://dx.doi.org/10.1155/2014/848129.

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This paper aims at being a guide to understand the different types of transportation problems by presenting a survey of mathematical models and algorithms used to solve different types of transportation modes (ship, plane, train, bus, truck, Motorcycle, Cars, and others) by air, water, space, cables, tubes, and road. Some problems are as follows: bus scheduling problem, delivery problem, combining truck trip problem, open vehicle routing problem, helicopter routing problem, truck loading problem, truck dispatching problem, truck routing problem, truck transportation problem, vehicle routing problem and variants, convoy routing problem, railroad blocking problem (RBP), inventory routing problem (IRP), air traffic flow management problem (TFMP), cash transportation vehicle routing problem, and so forth.
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Kyrychenko, Hanna, Yurii Statyvka, Oleh Strelko, Yulia Berdnychenko, and KHalyna Nesterenko. "Assessment of Cargo Delivery Quality Using Fuzzy Set Apparatus." International Journal of Engineering & Technology 7, no. 4.3 (September 15, 2018): 262. http://dx.doi.org/10.14419/ijet.v7i4.3.19800.

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The influence of the existing operation conditions for the time of cargo transportation, i.e. ferrous metals to the port station, was investigated. It was proposed to carry out the management of cargo delivery on the basis of determining the values of cargo handling duration while implementing the stages of the schedule. It was proposed to carry out assessment of the delivery process, including transportation using the fuzzy set apparatus. To determine the quality of transportation, an ordered categorized scale of values of the duration of cargo's staying in certain conditions at delivery stages was proposed. The assessment of deviations at all the stages of transportation with the use of linguistic definitions of conditions allows quantifying such an indicator as the transportation quality. The characteristics of deviations during transportation are provided in the linguistic form to the dispatching unit for making a decision. The revealed regularities in deviations from the standard schedules of trains during delivery of cargos are an objective basis for taking into account them in the mathematical models of the forecast of time of cargo delivery at each of the defined stages of transportation. The data on the forecasted and actual transportations are accumulated in the existing information base, forming data files for assessing the quality of the transportation process, the adequacy of the mathematical model and correcting of the model in case of significant organizational or technical changes.
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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 also in full swing, and it is a major trend to introduce mathematical models and algorithms into the solution of transportation problems. This paper deals with the multi-index transportation problem by establishing a multi-index mathematical model and algorithm to find a scientific transportation method for the goods to be transported, so as to save the cost and time of transportation. Experiments show that the mathematical model established in this paper has high efficiency for solving the multi-index transportation problem. At the same time, the most suitable transportation method can also be selected for the transportation of goods, and the route planned by the mathematical model and algorithm can reduce the risk to 12.34%.
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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 also in full swing, and it is a major trend to introduce mathematical models and algorithms into the solution of transportation problems. This paper deals with the multi-index transportation problem by establishing a multi-index mathematical model and algorithm to find a scientific transportation method for the goods to be transported, so as to save the cost and time of transportation. Experiments show that the mathematical model established in this paper has high efficiency for solving the multi-index transportation problem. At the same time, the most suitable transportation method can also be selected for the transportation of goods, and the route planned by the mathematical model and algorithm can reduce the risk to 12.34%.
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5

Mazūra, Mindaugas. "PREDICTION OF MAJOR TRENDS OF TRANSPORTATION DEVELOPMENT." TRANSPORT 17, no. 2 (April 30, 2002): 57–59. http://dx.doi.org/10.3846/16483480.2002.10414012.

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The importance of forecasting the economic characteristics of transportation (i.e. the amount of freight and passengers carried, the turnover rate of freight and passengers, etc. in transportation as a whole and in particular areas using various transport facilities) is demonstrated. Methods for predicting the development of transportation based on multidimensional regression and correlation analysis and realizing mathematical models for finding linear and non-linear multidimensional regression equations as well as a mathematical model for choosing linear and non-linear regression equations, more accurately approximating the empirical data, are presented. The techniques aimed to obtain and apply the linear correlation coefficient and correlative relationship in determining the forecast accuracy is also given. The efficiency of methods, determining the linear correlation coefficient and correlative relationship, used in achieving higher accuracy of forecasts is shown.
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Mazūra, Mindaugas, and Olga Fadina. "THE RELIABILITY OF FORECASTS IN TRANSPORTATION." TRANSPORT 17, no. 6 (December 31, 2002): 219–22. http://dx.doi.org/10.3846/16483840.2002.10414046.

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Major problems of forecasting the economic characteristics of transportation (i.e. the amount of freight and passengers carried, the turnover rate of freight and passengers, etc. in transportation as a whole and in particular areas using various transport facilities) are demonstrated. Methods for predicting the development of transportation based on multidimensional regression and correlation analysis and realizing mathematical models for choosing linear and nonlinear regression equations, more accurately approximating the empirical data, are presented. The research conducted has demonstrated that the most reliable forecasts may be made when the methods of choosing the proper non-linear regression equation described in Section 2 of the present paper are used.
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Afanasieva, Ivetta, and Andrii Galkin. "Assessing the information flows and established their effects on the results of driver’s activity." Archives of Transport 45, no. 1 (March 30, 2018): 7–23. http://dx.doi.org/10.5604/01.3001.0012.0938.

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The modern person in an era of information breakthrough faces the problem of choosing and processing information coming to her. Human activities in the systems "driver – vehicle - road - environment" - not an exception. The role and importance of information in all spheres of human activity have increased significantly. The paper aims to find and assess the patterns of information flow impact on the driver performance in the "driver - vehicle - road - environment" system. Electrophysiological methods, such as electroencephalography (EEG) and electrocardiography (ECG), are used to study the influence of input information on the work of the brain and driver's heart in laboratory and on-site conditions. Using mathematical modelling methods and methods, mathematical models of EEG and ECG parameters influence on the time of distraction from execution by the driver of the main activity were obtained. The practical significance of obtained results is the possibility to use them in coordinating the location of advertising structures and organizing the work of drivers while driving a vehicle.
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Wang, Ning, and Jiahui Guo. "Modeling and Optimization of Multiaction Dynamic Dispatching Problem for Shared Autonomous Electric Vehicles." Journal of Advanced Transportation 2021 (November 15, 2021): 1–19. http://dx.doi.org/10.1155/2021/1368286.

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The fusion of electricity, automation, and sharing is forming a new Autonomous Mobility-on-Demand (AMoD) system in current urban transportation, in which the Shared Autonomous Electric Vehicles (SAEVs) are a fleet to execute delivery, parking, recharging, and repositioning tasks automatically. To model the decision-making process of AMoD system and optimize multiaction dynamic dispatching of SAEVs over a long horizon, the dispatching problem of SAEVs is modeled according to Markov Decision Process (MDP) at first. Then two optimization models from short-sighted view and farsighted view based on combinatorial optimization theory are built, respectively. The former focuses on the instant and single-step reward, while the latter aims at the accumulative and multistep return. After that, the Kuhn–Munkres algorithm is set as the baseline method to solve the first model to achieve optimal multiaction allocation instructions for SAEVs, and the combination of deep Q-learning algorithm and Kuhn–Munkres algorithm is designed to solve the second model to realize the global optimization. Finally, a toy example, a macrosimulation of 1 month, and a microsimulation of 6 hours based on actual historical operation data are conducted. Results show that (1) the Kuhn–Munkres algorithm ensures the computational effectiveness in the large-scale real-time application of the AMoD system; (2) the second optimization model considering long-term return can decrease average user waiting time and achieve a 2.78% increase in total revenue compared with the first model; (3) and integrating combinatorial optimization theory with reinforcement learning theory is a perfect package for solving the multiaction dynamic dispatching problem of SAEVs.
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Kaminskas, Saulius. "STRATEGIC PLANNING OF THE ROLLING STOCK IN TRANSPORTATION BY RAIL." TRANSPORT 17, no. 6 (December 31, 2002): 230–33. http://dx.doi.org/10.3846/16483840.2002.10414049.

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Planning the structure and volume of the rolling stock is a key factor of achieving maximum efficiency of transportation by rail as well as forecasting the demand for these it transport facilities. The demand for trains is a time — dependant variable which in each case should be determined by two main approaches. The first method allows us to determine quantitative parameters of rolling stock (i.e. kilometers logged, efficiency, turnover, etc.). The second is based on specially developed mathematical models relying on qualitative characteristics such as relative expenses, efficiency of the particular train, relative expenditure of resources, cost of the trains, etc. Planning the volume of the rolling stock the determination of optimal service life of the trains plays an important role. The calculations involve repair costs, number of overhauls, current expenses and other operational characteristics.
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Mrówczyńska, Bogna, Karolina Łachacz, Tomasz Haniszewski, and Aleksander Sładkowski. "A COMPARISON OF FORECASTING THE RESULTS OF ROAD TRANSPORTATION NEEDS." TRANSPORT 27, no. 1 (March 30, 2012): 73–78. http://dx.doi.org/10.3846/16484142.2012.666763.

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Determining the size and quality of transport needs would not be possible without adequate forecasting based on the sales volume or demand for this service from the past periods. Traditional forecasting methods use econometric models that may be subject to serious errors. The use of the methods taking into account the variability of the studied phenomena or more advanced mathematical methods enables to minimize the error. Various methods of artificial intelligence such as a neural network, fuzzy sets, genetic algorithms, etc., have been recently successfully applied. The aim of this paper is to compare three forecasting methods that can be used for predicting the volume of road freight. The article deals with the effectiveness of three prediction methods, namely Winter's method for seasonal problems – a multiplicative version, harmonic analysis and harmonic analysis aided by the artificial immune system. The effectiveness of prediction was counted using MAPE errors (main average percentage error). The results of calculations were compared and the best example was presented.
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Dissertations / Theses on the topic "Transportation, Automotive Dispatching Mathematical models"

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Lee, Moonsu. "Analytical models to evaluate system performance measures for vehicle based material-handling systems under various dispatching policies." Diss., Texas A&M University, 2005. http://txspace.tamu.edu/bitstream/handle/1969.1/2352/etd-tamu-2005A-INEN-Lee.pdf?sequence=1.

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Dewez, Sophie. "On the toll setting problem." Doctoral thesis, Universite Libre de Bruxelles, 2004. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/211104.

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In this thesis we study the problem of road taxation. This problem consists in finding the toll on the roads belonging to the government or a private company in order to maximize the revenue. An optimal taxation policy consists in determining level of tolls low enough to favor the use of toll arcs, and high enough to get important revenues. Since there are twolevels of decision, the problem is formulated as a bilevel bilinear program.
Doctorat en sciences, Orientation recherche opérationnelle
info:eu-repo/semantics/nonPublished
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Elahi, Behin. "Integrated Optimization Models and Strategies for Green Supply Chain Planning." University of Toledo / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1467266039.

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Books on the topic "Transportation, Automotive Dispatching Mathematical models"

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Dethloff, Jan. Verallgemeinerte Tourenplanungsprobleme: Klassifizierung, Modellierung, Lösungsmöglichkeiten. Göttingen: Vandenhoeck & Ruprecht, 1994.

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Wang, Guoliang. Gao su gong lu chang tu ke yun guan zhi zheng ce zhi tan tao. Taibei Shi: Zhonghua jing ji yan jiu yuan, 1988.

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Gocałek, Andrzej. Modelowanie systemów opisujących funkcjonowanie przedsiębiorstwa transportu samochodowego. Gdańsk: Uniwersytet Gdański, 1985.

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Żak, Jacek. Wielokryterialne wspomaganie decyzji w transporcie drogowym. Poznań: Wydawn. Politechniki Poznańskiej, 2005.

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Brendemoen, Anne. Miljøkostnader i makroperspektiv. Oslo: Statistisk sentralbyrå, 1992.

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Liu, Wei. Introduction to hybrid vehicle system modeling & control. Hoboken, N.J: Wiley, 2012.

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International Federation of Automobile Engineers' and Technicians' Associations. International Congress. The vehicle and the environment: Technical papers : XXIV FISITA Congress, 7-11 June, 1992, London : automotive technology serving society. London: published by Mechanical Engineering Publications Ltd. for the Institution of Mechanical Engineers, 1992.

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Chatti, Karim. Estimating the effects of pavement condition on vehicle operating costs. Washington, D.C: Transportation Research Board, 2012.

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Ferrucci, Francesco. Pro-active Dynamic Vehicle Routing: Real-Time Control and Request-Forecasting Approaches to Improve Customer Service. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

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Office, General Accounting. Air pollution: Reliability and adequacy of air quality dispersion models : report to the chairman, Subcommittee on Oversight and Investigations, Committee on Energy and Commerce, House of Representatives. Washington, D.C: The Office, 1988.

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Conference papers on the topic "Transportation, Automotive Dispatching Mathematical models"

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Muhlanger, Michelle, Daniel Parent, Kristine Severson, and Benjamin Perlman. "Development of Performance Requirements for a Rail Passenger Workstation Table Safety Standard." In ASME 2010 Rail Transportation Division Fall Technical Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/rtdf2010-42031.

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The American Public Transportation Association’s (APTA) Construction and Structural committee, a railroad industry group, with the support of the Federal Railroad Administration (FRA) and the John A. Volpe National Transportation Systems Center (Volpe Center), is creating an industry safety standard for an energy absorbing table. Workstation tables in passenger trains are an increasingly popular seating configuration both in the United States and abroad. Although a well-attached table can provide convenience and compartmentalization for the occupant, there is a risk of abdominal injury during a rail accident. In Fact, there have been several accidents in the United States in which impacts with workstation tables have severely or fatally injured occupants. In 2006, in response to these injuries, an FRA sponsored program developed a prototype table that distributed load over a wider area of the abdomen and absorbed energy during a collision. This table design was tested with specialized anthropomorphic test devices (ATDs) instrumented to measure abdominal impact response and was shown to decrease injury risk compared to a baseline table design. Building on the knowledge gained in the development of the prototype table, the proposed standard requires force to the abdomen be limited while energy is absorbed by the table. Since manufacturers do not have access specialized ATDs, researchers proposed a two part testing requirement. The first part is a quasi-static test which measures the energy absorption capacity of the table with a maximum force level determined from testing with specialized abdominal ATDs. The second part is a sled test with a standard Hybrid III 50th percentile (HIII) ATD to assess compliance with occupant protection standards of compartmentalization and ATD injury assessment reference values (IARVs). This paper discusses the research performed to develop the performance requirement in the draft standard. Current injury measures, originally developed for the automotive industry, were examined to assess their applicability to workstation table impacts. Multiple Mathematical Dynamic Models (MADYMO) model simulations show the estimated injuries during a simulated sled test scenario. Several force-crush parameters were examined, including the initial stiffness of the force-crush curve, the plateau force and the target energy absorbed by the table, to determined the force-crush design characteristics of a table that are likely to reduce injury risk. The results of this study, combined with testing of the current prototype table described in a companion paper [1], led to a draft standard that will greatly improve the safety of workstation tables in passenger rail cars.
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Suryawanshi, Vinod B., Evan T. Kimbro, and Ajit D. Kelkar. "Life Prediction and Stiffness Degradation Modeling of Glass/Epoxy Composites Subjected to Flexural Fatigue Loading." In ASME 2016 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/imece2016-67664.

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Textile composite are extensively used as structural materials for automotive, aerospace, energy, transportation and construction applications. During their service life these structures are subjected to different types of static and cyclic loading. For structural health monitoring of these structures, it is important to know the fatigue life and damage occurred at any stage of the life of the structure. Fatigue life is generally estimated using suitable life prediction model, while fatigue damage can be predicted by monitoring measurable damage parameters such as stiffness and strength. Two mathematical models namely fatigue life prediction model and stiffness degradation model are proposed for plain weave glass/epoxy composite subjected to flexural fatigue loading. Three different functions namely linear, exponential and sigmoid are evaluated to represent S-N diagram for plain weave glass/epoxy composite. Using predicted fatigue life along with initial modulus as inputs, the stiffness degradation model can predict residual stiffness at any stage of the fatigue loading life cycle. Logarithmic function used to represent stiffness degradation in the model is derived by inverting Boltzmann sigmoid function. The results of both, fatigue life model and stiffness degradation model were found to be in good agreement with those of the experimental results.
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