Journal articles: 'Automotive Dispatching Mathematical models'

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Yüksel, Damla, Damla Kızılay, Hande Öztop, and Sinem Özkan. "Mathematical Models for Milk Dispatching Problem." Journal of Transportation and Logistics 6, no. 2 (October 31, 2021): 217–35. http://dx.doi.org/10.26650/jtl.2021.940506.

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Moradi-Afrapoli, A., S. Upadhyay, and H. Askari-Nasab. "Truck dispatching in surface mines -Application of fuzzy linear programming." Journal of the Southern African Institute of Mining and Metallurgy 121, no. 9 (September 17, 2021): 1–8. http://dx.doi.org/10.17159/2411-9717/522/2021.

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Material handling in surface mines accounts for around 50% of the operational cost. Optimum truck dispatching plays a critical role in the reduction of this operational cost in truck and shovel surface mines. Researchers in this field have presented several mathematical models to solve the truck dispatching problem optimally. However, a critical survey of the literature has shown that three significant drawbacks exist in the available truck dispatching models. The published models underestimate the importance of the interaction between truck fleet, shovel fleet, and the processing plants. They also disregard goals set by strategic-level plans. Moreover, none of the available models account for the uncertainty associated with the input parameters. In this paper we present a new truck dispatching model that covers all of these drawbacks, using a fuzzy linear programming method. The performance of the developed model was evaluated through implementatin in an active surface mining operation. The results show a significant improvement in production and fleet utilization.

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Previati, Giorgio, Massimiliano Gobbi, and Giampiero Mastinu. "Mathematical models for farm tractor rollover prediction." International Journal of Vehicle Design 64, no. 2/3/4 (2014): 280. http://dx.doi.org/10.1504/ijvd.2014.058486.

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Козин, A. Kozin, Хмелев, and R. Khmelev. "SIMULATION OF FAULTS IN AUTOMOTIVE ENGINES." Alternative energy sources in the transport-technological complex: problems and prospects of rational use of 2, no. 2 (December 17, 2015): 440–44. http://dx.doi.org/10.12737/19306.

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The modern stage of theoretical research in the automotive industry are characterized by extensive use of mathematical models, the complexity of which is constantly who will melt. Mathematical simulation model allows to obtain an extensive statistical material on changes in the numbers of working processes, as vehicle and car "as a whole" in the event of malfunctions or failure

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Dimitrova, Emiliya. "Models of Objects of Control in SCADA System for Monitoring and Operational Dispatching in Sofia Metropolitan." Information Technologies and Control 11, no. 3 (September 1, 2014): 30–35. http://dx.doi.org/10.2478/itc-2013-0013.

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Abstract Supervisory Control and Data Acquisition systems (SCADA) are often used in some important industry sectors, such as production and distribution of electricity, transport management, etc. The purpose of this paper is to establish models of SCADA system, DISIM that is incorporated into the Central Dispatching Station of Sofia Metropolitan. Its functions are related to remote visualization and management of the structures and devices in both directions - Trains operation (DISIM-V) and Power transmission system (DISIM-Å). The suggested structural models and mathematical description are used as a basis for realization of a simulator of both SCADA systems

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Jovanović, Nenad. "Angažovanje generatora i potrebe balansnih rezervi u prisustvu intermitentnih OIE: Studija slučaja elektroenergetskog sistema Srbije." Energija, ekonomija, ekologija XXIV, no. 3 (2022): 16–24. http://dx.doi.org/10.46793/eee22-3.16j.

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Intermittent electricity generation of the various renewable energy sources sets additional burden on generation unit dispatching and reserve planning in day-ahead electricity market. The conventional unit commitment models which include rump-up and rump-down limits are usually presented with stepwise mathematical functions without clear distinction between power and energy. This paper presents a case study of generation unit dispatching planning approach for the case of pricewise-linear functions from one time interval to another, taking into account actual ramping trajectories thus providing more efficient reserve scheduling particularly during generators’ start-up and shut-down processes. For the representation of reserve schedules, the 10-min and 30-min ramp capabilities of the generation units are assumed where they are obliged to provide secondary, tertiary and offline-tertiary reserves depending on their technical capabilities. The Serbian power system case study represents a 24-hour unit commitment planning and up/down secondary and tertiary reserve requirements during a scarcity event when reserve flexibility of neighbouring power systems cannot be utilised. Formulation of the optimisation mathematical model is performed via GAMS, the General Algebraic Modelling System, and CPLEX optimiser is used for problem optimisation purposes.

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Zhang, Dalin, Yi Xu, Yunjuan Peng, Yumei Zhang, Daohua Wu, Hongwei Wang, Jintao Liu, Sabah Mohammed, and Alessandro Calvi. "Prediction of Train Station Delay Based on Multiattention Graph Convolution Network." Journal of Advanced Transportation 2022 (February 21, 2022): 1–12. http://dx.doi.org/10.1155/2022/7580267.

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Train station delay prediction is always one of the core research issues in high-speed railway dispatching. Reliable prediction of station delay can help dispatchers to accurately estimate the train operation status and make reasonable dispatching decisions to improve the operation and service quality of rail transit. The delay of one station is affected by many factors, such as spatiotemporal factor, speed limitation or suspension caused by strong wind or bad weather, and high passenger flow caused by major holiday. But previous studies have not fully combined the spatiotemporal characteristics of station delay and the impact of external factors. This paper makes good use of the train operation data, proposes the multiattention mechanism to capture the spatiotemporal characteristics of train operation data and process the external factors, and establishes a Multiattention Train Station Delay Graph Convolution Network (MATGCN) model to predict the train delay at high-speed railway stations, so as to provide references for train dispatching and emergency plan. This paper uses real train operation data coming from China high-speed railway network to prove that our model is superior to ANN, SVR, LSTM, RF, and TSTGCN models in the prediction effect of MAE, RMSE, and MAPE.

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Dement'eva, Marina, and Anastasiya Dement'eva. "Modeling work of the dispatching service of high-rise building as queuing system." E3S Web of Conferences 33 (2018): 03067. http://dx.doi.org/10.1051/e3sconf/20183303067.

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The article presents the results of calculating the performance indicators of the dispatcher service of a high-rise building as a queuing system with an unlimited queue. The calculation was carried out for three models: with a single control room and brigade of service, with a single control room and a specialized service, with several dispatch centers and specialized services. The aim of the work was to investigate the influence of the structural scheme of the organization of the dispatcher service of a high-rise building on the amount of operating costs and the time of processing and fulfilling applications. The problems of high-rise construction and their impact on the complication of exploitation are analyzed. The composition of exploitation activities of high-rise buildings is analyzed. The relevance of the study is justified by the need to review the role of dispatch services in the structure of management of the quality of buildings. Dispatching service from the lower level of management of individual engineering systems becomes the main link in the centralized automated management of the exploitation of high-rise buildings. With the transition to market relations, the criterion of profitability at the organization of the dispatching service becomes one of the main parameters of the effectiveness of its work. A mathematical model for assessing the efficiency of the dispatching service on a set of quality of service indicators is proposed. The structure of operating costs is presented. The algorithm of decision-making is given when choosing the optimal structural scheme of the dispatching service of a high-rise building.

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Junevičius, Raimundas, and Marijonas Bogdevičius. "MATHEMATICAL MODELLING OF NETWORK TRAFFIC FLOW." TRANSPORT 24, no. 4 (December 31, 2009): 333–38. http://dx.doi.org/10.3846/1648-4142.2009.24.333-338.

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The article describes mathematical models of traffic flows to initiate different traffic flow processes. Separate elements of traffic flow models are made in a way to be connected together to get a single complex model. A model of straight road with different boundary conditions is presented as a separate part of the network traffic flow model. First testing is conducted in case the final point of the whole modelled traffic line is closed and no output from that point is possible. The second test is performed when a constant value of traffic flow speed and traffic flow rate is entered. Mathematical simulation is carried out and the obtained results are listed.

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Klyuev, R. V., E. R. Guzueva, and Yu N. Bulatov. "Mathematical modeling of power consumption based on rank analysis." Journal of Physics: Conference Series 2176, no. 1 (June 1, 2022): 012090. http://dx.doi.org/10.1088/1742-6596/2176/1/012090.

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Abstract In the article, based on the application of the rank analysis of the technocenosis, mathematical modeling of electricity consumption by consumers for the production of hard alloys is carried out. Two methodological levels of research in the field of energy-saving and power consumption are presented. At the same time, it was found that rank analysis allows you to streamline information, effectively predict power consumption by individual objects to identify dynamics, and visually represent objects with abnormal power consumption. The analysis of the results obtained confirms the efficiency of using the H-distribution for obtaining mathematical models of power consumption of Noah and Pointer castes in the production of hard alloys. For the first time, the regularity of changes in electricity consumption by technological equipment was established, which is described by an adequate mathematical model in the form of a damped harmonic function. The resulting model is recommended for use in an automated dispatching control system for electricity consumption for the purpose of short-term forecasting of electricity consumption.

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Jiahui, Tang, Zhang Yuanbiao, Peng Churu, and Huang Xinxin. "Installation and Dispatch of the Traffic Patrol Service Platform." International Journal of Statistics and Probability 6, no. 1 (December 21, 2016): 95. http://dx.doi.org/10.5539/ijsp.v6n1p95.

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In this paper, we construct three mathematical models to install and dispatch the traffic patrol service platform properly based on the real data of a certain city. Firstly, we build the shortest path model based on the Floyd algorithm to determine the jurisdictional of each platform. Then, we designed the dispatch model combined with 0-1 integer programming and the Hungarian algorithm to find the dispatching schemes when coming across large-scale emergencies. Lastly, we build the multiple-objective location model to optimize the present distribution situation of the traffic patrol platforms considering the workload differences among these existing platforms and overlong response time in some places.

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Zhai, Zhikang, Ying Yang, Yu Shen, Yuxiong Ji, and Yuchuan Du. "Assessing the Impacts of Autonomous Bus-on-Demand Based on Agent-Based Simulation: A Case Study of Fuyang, Zhejiang, China." Journal of Advanced Transportation 2020 (November 23, 2020): 1–15. http://dx.doi.org/10.1155/2020/7981791.

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This paper envisions and assesses the performance of an autonomous bus-on-demand (ABoD) system. We take Fuyang, Zhejiang, China, as the study area to investigate the spatiotemporal distribution of bus travel demand during workdays, and we propose replacing inefficient bus routes with the ABoD system. Agent-based models with various bus dispatching and operation control strategies are constructed to evaluate the performance of the ABoD system. The behaviors and interactions of the agents, passengers, autonomous buses, and a control center are designed. After the verification of the simulated bus travel demand with real-world demand, a series of scenarios with various ABoD operation strategies are simulated. The simulation results show that, in comparison with both current fixed-schedule bus services and the optimized bus dispatching strategies, the ABoD system occupies fewer road resources and utilizes bus vehicles more efficiently. Besides, the system is adaptive to the sudden surge in bus travel demand and is economically sustainable.

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Saputri Said, Retno, Sri Subarinah, Baidowi Baidowi, and Sripatmi Sripatmi. "Kemampuan Representasi Matematis Ditinjau Dari Self Efficacy Siswa Kelas VIII Tahun Ajaran 2020/2021." Griya Journal of Mathematics Education and Application 1, no. 3 (September 30, 2021): 306–15. http://dx.doi.org/10.29303/griya.v1i3.84.

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This study aimed to describe the mathematical representation ability in terms of self-efficacy students of grade VIII SMP Negeri 6 Mataram in academic year 2020/2021. The research method used was descriptive research with qualitative approach. The instruments used in this study were self-efficacy questionnaires, mathematical representation ability tests and interview guides. The research subjects were 31 students of grade VIII E with 22 students having high self-efficacy and 9 students having low self-efficacy. Then 3 students from each category of self-efficacy were selected to be given a test and an interview. Based on the results, the mathematical representation abilities of students who have high self-efficacy are able to present a mathematical problem in the form of images or diagrams, solve mathematical problems using mathematical equations or models and sufficiently able to use written words in solving mathematical problems. Meanwhile, the mathematical representation abilities of students who have low self-efficacy are able to present a mathematical problem in the form of a picture

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Yang, King H. "Review of mathematical human models for incorporation into vehicle safety design." International Journal of Vehicle Design 26, no. 4 (2001): 430. http://dx.doi.org/10.1504/ijvd.2001.005216.

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Blagoveshchensky, Vladislav G., Andrey E. Krasnov, Ivan G. Blagoveshchensky, Maxim Yu Music, Viktor V. Golovin, and Margarita M. Blagoveshchenskaya. "Development of structural-parametric and mathematical models for separating sunflower seeds for halva production." Processes and Food Production Equipment 14, no. 3 (September 2021): 30–37. http://dx.doi.org/10.17586/2310-1164-2021-14-3-30-37.

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Junevičius, Raimundas, Marijonas Bogdevičius, and Ádám Török. "MODELLING OF INTERNAL COMBUSTION ENGINES’ EMISSION THROUGH THE USE OF TRAFFIC FLOW MATHEMATICAL MODELS." TRANSPORT 26, no. 3 (October 5, 2011): 271–78. http://dx.doi.org/10.3846/16484142.2011.621978.

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Road traffic flows on a straight road segment are modelled in this article. The mathematical model of traffic flows has been constructed by using the method of lumped parameters. CO2, CO, CH, NOx, PM regression equations of internal combustion engines’ (ICE) emission has been developed. The accuracy of regression equations is 0.98÷0.99. The article presents assumptions for constructing the mathematical model, description of the mathematical model and gives simulation results. Traffic flow parameters, such as traffic flow concentration and traffic flow speed are presented as modelling results. ICE emission depending on the concentration and traffic flow speed are presented as well.

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Wu, L. M., Nan Hui Lai, and G. T. Wang. "Measurement and Simulation of Automotive Eddy Current Retarder Based on Virtual Reality." Key Engineering Materials 392-394 (October 2008): 93–97. http://dx.doi.org/10.4028/www.scientific.net/kem.392-394.93.

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Structure and working principles of eddy current retarder (ECR) are discussed, as well as performance requirements of real-time virtual testing and simulation. On the basis of hardware testing platform, virtual models of vehicle and retarder are embedded into application program. In the testing system, Vega API function library is used for second development to control the 3D models, and Visual C++ is used for mathematical models call from MATLAB to simulate the working condition. Integrated with virtual instrument and virtual environment, the limitation of former simulation is broken through. Monitoring and testing on eddy current retarder are achieved efficiently and visually. Besides, the virtual test data is not only compared with the practical vehicle test data to correct the technical parameter of eddy current retarder, but also compared with the simulation of mathematical models for further study. The testing system gives evaluation on the performance of the retarder in different vehicles, so it expands application range and heightens testing efficiency.

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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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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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Karpušenkaitė, Aistė, Tomas Ruzgas, and Gintaras Denafas. "Time-series-based hybrid mathematical modelling method adapted to forecast automotive and medical waste generation: Case study of Lithuania." Waste Management & Research: The Journal for a Sustainable Circular Economy 36, no. 5 (April 19, 2018): 454–62. http://dx.doi.org/10.1177/0734242x18767308.

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The aim of the study was to create a hybrid forecasting method that could produce higher accuracy forecasts than previously used ‘pure’ time series methods. Mentioned methods were already tested with total automotive waste, hazardous automotive waste, and total medical waste generation, but demonstrated at least a 6% error rate in different cases and efforts were made to decrease it even more. Newly developed hybrid models used a random start generation method to incorporate different time-series advantages and it helped to increase the accuracy of forecasts by 3%–4% in hazardous automotive waste and total medical waste generation cases; the new model did not increase the accuracy of total automotive waste generation forecasts. Developed models’ abilities to forecast short- and mid-term forecasts were tested using prediction horizon.

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Zhang, Yu Fan, Zhi Hao Ji, Jin Yan Liu, Shu Sheng Xiong, Xiao Bo Huang, Bin Tao Mao, Bao Sheng Guo, Zhi Chao Ying, and Ya Bo Sun. "Study on Mathematical Model in Working Process of Automotive Air Conditioning Scroll Compressor." Applied Mechanics and Materials 741 (March 2015): 572–76. http://dx.doi.org/10.4028/www.scientific.net/amm.741.572.

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In order to study the working features of automotive air conditioning scroll compressor, this paper uses mathematical model of working process to analyze it. After studying working process, a equation of suction volume is given. The thermodynamic model of compression chamber and back pressure chamber includes mass conservation and energy conservation. Based on Hydromechanics, leakage models of radial leakage and tangential leakage are discussed. The model lays a foundation of automotive air conditioning scroll compressor performance simulation.

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Klyuev, Roman V., Igor I. Bosikov, Oksana A. Gavrina, and Vladimir Ch Revazov. "System analysis of power consumption by nonferrous metallurgy enterprises on the basis of rank modeling of individual technocenosis castes." MATEC Web of Conferences 226 (2018): 04018. http://dx.doi.org/10.1051/matecconf/201822604018.

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To increase energy efficiency at non-ferrous metallurgy enterprises, an integrated system approach for estimation of electricity consumption is needed. The paper presents the results of a rank analysis of the power consumption of individual castes of process equipment on the basis of an integrated energy survey of the enterprise. A methodology for constructing mathematical models for calculating and predicting electric power consumption for all castes of the ranked H-distribution of technocenosis has been developed. For the first time, according to the established regularity of the H-distribution, a mathematical model for predicting power consumption has been developed, including a quantitative analysis of the energy characteristics of consumers by individual castes of technocenosis. A retrospective check of the relative error in the prediction of electricity consumption showed that for the model it does not exceed 2%, which is significantly lower than the relative error of the prediction for a number of models of other types. The received model is recommended for use in the automated system of dispatching control of power consumption for the purposes of short-term forecasting of electric power consumption at industrial enterprises of non-ferrous metallurgy.

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Tang, Ching-Hui, and Ping-Hsuan Hsieh. "A Hybrid Framework for Real-Time Dispatching of Airline Unit Load Devices under Demand Variations." Journal of Advanced Transportation 2022 (August 8, 2022): 1–20. http://dx.doi.org/10.1155/2022/9009364.

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This study is devoted to a new research topic in real-time airline operations, the redispatching of unit load devices (ULDs) under demand variations. We develop a new hybrid framework to solve the problem of ULD redispatch following the time-sequence decision-making required by airlines. The hybrid framework is developed by integrating techniques including the probability distribution technique to simulate different types of operational demand, the adjustable number of stages which is needed to meet the requirements of a decision-making process following a time sequence and the time pressure characteristic of real operations, and the scenario tree and probability rule approaches which are aimed and representing all possible demand scenarios for a stage, while the network flow technique is applied to represent the movement and location of ULDs at each airport over time and is used for the development of the associated mathematical model and the simulation. We performed a simulation of 2,000 cases based on different operational days and types of operational demand. The results show that this hybrid framework is able to achieve stability and also a small variability of both ULD operating costs and solution times, which could allow the airline to save on ULD operating costs, under demand variations in real-time operations.

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Borucka, Anna, Dariusz Mazurkiewicz, and Eliza Łagowska. "MATHEMATICAL MODELLING AS AN ELEMENT OF PLANNING RAIL TRANSPORT STRATEGIES." Transport 36, no. 4 (December 7, 2021): 354–63. http://dx.doi.org/10.3846/transport.2021.16043.

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Effective planning and optimization of rail transport operations depends on effective and reliable forecasting of demand. The results of transport performance forecasts usually differ from measured values because the mathematical models used are inadequate. In response to this applicative need, we report the results of a study whose goal was to develop, on the basis of historical data, an effective mathematical model of rail passenger transport performance that would allow to make reliable forecasts of future demand for this service. Several models dedicated to this type of empirical data were proposed and selection criteria were established. The models used in the study are: the seasonal naive model, the Exponential Smoothing (ETS) model, the exponential smoothing state space model with Box–Cox transformation, ARMA errors, trigonometric trend and seasonal components (TBATS) model, and the AutoRegressive Integrated Moving Average (ARIMA) model. The proposed time series identification and forecasting methods are dedicated to the processing of time series data with trend and seasonality. Then, the best model was identified and its accuracy and effectiveness were assessed. It was noticed that investigated time series is characterized by strong seasonality and an upward trend. This information is important for planning a development strategy for rail passenger transport, because it shows that additional investments and engagement in the development of both transport infrastructure and superstructure are required to meet the existing demand. Finally, a forecast of transport performance in sequential periods of time was presented. Such forecast may significantly improve the system of scheduling train journeys and determining the level of demand for rolling stock depending on the season and the annual rise in passenger numbers, increasing the effectiveness of management of rail transport.

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Čarný, Štefan, and Vladislav Zitrický. "Evaluation of the Impact of International Trade Using Regression and Correlation Models." Transport technic and technology 17, no. 1 (June 1, 2021): 13–20. http://dx.doi.org/10.2478/ttt-2021-0003.

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Abstract The connection of international economies in the world represents an important role for the development of modern economies of countries. This phenomenon is known as globalization. The article describes in more detail the dependence of the Slovak Republic on the economies of East Asia, where mathematical research was performed on macroeconomic indicators of imports and exports. The Slovak Republic is experiencing an increase in GDP for the entire reference period. The growth of economic indicators in the Slovak Republic is ensured mainly due to the strong integration of our economy into international logistics chains and the strongly developed automotive industry. However, assuming the COVID-19 crisis, several studies suggest a sharp decline in economic indicators, as international trade has had to be significantly reduced for some time. The countries we examined in the article have a significant impact on these areas, so our research was focused on the main sectors of the Slovak economy. The automotive industry, the metallurgical industry and the electronics industry were evaluated. Data from world statistics were evaluated using mathematical and statistical models. The result of the study was the confirmation of dependence in all the categories.

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Kulagin, V. A. "Development of a complex of mathematical models of a vehicle suspension for fatigue life analysis." Izvestiya MGTU MAMI 15, no. 4 (December 15, 2021): 33–42. http://dx.doi.org/10.31992/2074-0530-2021-50-4-33-42.

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The reduction in the duration of the development of new vehicles and the associated desire to reduce the costs of automotive plants contribute to a more active application of mathematical modeling to solve engineering problems. The tasks, which are analyzing and predicting the fatigue life of vehicle components and assemblies, can be solved using a set of methods and tools of mathematical modeling. This article discusses the development of a complex of mathematical models of the front and rear suspensions of a passenger automobile, which have the properties necessary for accurate reproduction of wheel loads and dynamic behavior of the suspension as a mechanical system. The complex of mathematical models is implemented in a multi-link modeling environment. The models are designed to carry out a subsequent validation study of the loading of individual suspension components during forced service life tests. In the future, this complex of mathematical models can be used for simulation of semi-natural forced resource tests of the suspension module, as well as a sample for the development of suspension models of other automobiles. The purpose of this work is to form sufficient requirements for mathematical models for the implementation of fatigue durability studies using mathematical modeling methods and obtaining reliable calculation results. Research engineers will be able to follow these requirements to determine and collect initial data for the development of their own mathematical models.

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Yassir Ali and Sarah 'Atifah Saruchi. "Comparison of Transfer Function Models to Represent the Correlation Between Vehicle Lateral Acceleration and Head Tilting Angle in Motion Sickness." International Journal of Automotive and Mechanical Engineering 19, no. 4 (December 28, 2022): 10039–49. http://dx.doi.org/10.15282/ijame.19.4.2022.01.0775.

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Motion Sickness (MS) is described as an unpleasant feeling caused by a forceful movement; hence vehicle movement impacts the severity of MS. While negotiating a curve, drivers and passenger tilt their heads differently, affecting their motion sickness incidence (MSI), which is the severity of MS. MS is a negative feeling, that affects occupant’s comfort, and to further understand the correlation between occupants' behavior and vehicle movement in MS and then represent it using mathematical models, it was proven that MSI could be predicted through mathematical models. However, there is an indefinite value between values between occupant’s behavior and vehicle movement. Based on that it is vital to express it the correlation mathematically. An experiment adopted from a prior study was utilized to get the data and develope the mathematical models with different proportions to represent the correlation between vehicle movement and occupant behavior in motion sickness in transfer function equations using system identification (SI), by utilising black-box feature to use the experimental data as input and output to allow SI to predict the transfer function models. The aim of this study is to investigate MS factors in relation to the vehicle movement and occupant’s behavior, to develop multiple transfer function models, to analyze and compare them. The results were obtained in the three different transfer function orders, second, third and fourth order functions for each proportion used for both the driver and passenger, the driver models’ results were in between 64.68%-67.87%, and the passenger results were in between 63.75%-67.93%, after the comparison the highest fits for each order were obtained. The highest fits amongst driver models were 67.87% (4th Order), 66.78% (3rd Order) and 65.17% (2nd Order) and 67.93% (4th Order), 66.3% (3rd Order) and 64.82% (2nd Order) amongst the passenger models. Those fits were then validated via Simulink with unseen data that was not used in identification process, and lastly the models Root Mean Square Error (RMSE) was obtained for all of them to determine their efficiency.

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Matuliauskas, Arvydas, and Bronislovas Spruogis. "PIPELINE ROBOTS WITH ELASTIC ELEMENTS." TRANSPORT 17, no. 5 (October 31, 2002): 177–81. http://dx.doi.org/10.3846/16483840.2002.10414039.

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In the article constructions of the pipeline robots with elastic elements are reviewed and the scheme of new original construction is presented. The mathematical models of a robot with one-dimensional vibration exciter with two degrees of freedom were developed and the equations of movement were formed and written. The mathematical model of the pipeline robot with circular elements is formed and its motion equations are presented.

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Shen, Zhaoqing, Ge Gao, and Zhen Wang. "Accessibility Assessment of Prehospital Emergency Medical Services considering Supply-Demand Differences." Journal of Advanced Transportation 2021 (October 21, 2021): 1–16. http://dx.doi.org/10.1155/2021/1925354.

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The reasonable accessibility assessment method is an important basis for the measurement of the level of prehospital emergency medical services. There is no general model for prehospital emergency care in traditional accessibility evaluation, and its supply-demand characteristics have also been ignored. Based on the three-step floating catchment area (3SFCA) model, the supply-demand three-step floating catchment area (SD3SFCA) model is proposed in this paper, which can express the difference between supply and demand of prehospital emergency medical services and accurately simulate unified dispatching of emergency centers. The unified dispatching behavior of emergency centers is simulated based on the potential service capacity of emergency stations with a supply-demand difference. The supply capacity of different emergency facilities is quantified from the perspective of infrastructure and technical quality. The needs of typical population densities are taken into account and adjusted by the weighting index. The validity of the model is verified, with the prehospital emergency medical service in the West Coast New District of Qingdao as an example. The results show that the model can effectively measure the accessibility level of prehospital emergency services and truly reflect the characteristics of supply and demand. Compared with previous models, the model has been significantly improved, which can provide an important reference for optimizing the allocation of prehospital emergency resources.

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Borozan, Ion, Inocentiu Maniu, Raul Miklos Kulcsar, and Veronica Argesanu. "The Automotive Friction Clutches Face Seal Axial Symmetric Modeling Problem." Applied Mechanics and Materials 162 (March 2012): 67–73. http://dx.doi.org/10.4028/www.scientific.net/amm.162.67.

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An axial clutch is one in which the mating frictional members are moved in a direction parallel to the shaft. One of the earliest of these is the cone clutch, which is simple in construction and quite powerful. However, except for relatively simple installations, it has been largely displaced by the disk clutch employing one or more disks as the operating members. Advantages of the disk clutch include the freedom from centrifugal effects, the large frictional area that can be installed in a small space, the more effective heat-dissipation surfaces, and the favorable pressure distribution. Modeling methods typically implement mathematical models that can be used to simulate steady-state and transient performance under various commanded conditions, loads, and operational regimes. In the case of drive-train systems, these models should be dynamic to simulate the transient interaction among speeds, loads, and power sources. These dynamic simulation models enable the identification of diagnostic indicators. .

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Misrikhanov, M., and Sh Khamidov. "MATHEMATICAL POWER FLOW MODEL IN AN ELECTRICAL SYSTEM CONTAINING A SERIAL COMPENSATOR THRISTOR CONTROLLED REACTIVE COMPONENT." Technical science and innovation 2019, no. 3 (September 18, 2019): 169–74. http://dx.doi.org/10.51346/tstu-01.19.3-77-0034.

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A unified mathematical model of the power flow in a system containing a reactive component compensator consisting of capacitor banks connected in series to a thyristor control reactor is presented. The application of the FACTS (Flexible Alternative Current Transmission System - Controlled flexible DC power transmission) technology is shown to reduce the gap between the controlled and unmanaged modes of operation of the electric power system (EPS), presenting dispatching personnel with additional degrees of freedom in the management of power flows and voltages in excess and deficit areas of the electric network. The main objectives of the FACTS technology application are studied: increasing the transmission line capacity to the thermal limit; optimizing power flows in a complex heterogeneous network; increasing the static and dynamic stability of the electric power system. To assess the action of the new generation of regulators of the power system, two alternative models of power flow in the electric power system are considered. In the first model, the concept of alternating series reactance is used as a state variable. In the second model, the characteristic of the advance angle is used, given in the form of a nonlinear dependence in the problem of calculating the power flow using the Newton-Raphson method. Conclusions are made on the presented models of power flow allowing to estimate possibilities of the serial capacitor with thyristor control TCSC (Thyristor Controlled Series Capacitor), as FACTS device, on improvement of modes of functioning of electric power system.

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Helander, Mary, and Russell P. Labe. "Introduction: 2019 Daniel H. Wagner Prize for Excellence in the Practice of Advanced Analytics and Operations Research." INFORMS Journal on Applied Analytics 50, no. 5 (September 2020): 269–71. http://dx.doi.org/10.1287/inte.2020.1051.

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Competition for the 2019 Daniel H. Wagner Prize for Excellence in the Practice of Advanced Analytics and Operations Research provided the five finalist papers featured in this special issue of the INFORMS Journal on Applied Analytics (IJAA). The prestigious Wagner Prize—awarded for achievement in implemented operations research, management science, and advanced analytics—emphasizes quality and originality of mathematical models and clarity of written and oral exposition. This year’s winning application is a ride-dispatching solution that the Chinese ride service DiDi developed to match ride requests to available drivers. The model uses a Markov decision process along with machine learning to optimize the assignments, resulting in improved response rates, fulfillment rates, and driver income. The remaining papers include an optimization model that generates daily tutoring schedules for students and teachers at Hopeful Journeys, a school for children with disabilities; integer programming models to develop bus-route assignments for the Denver Public Schools; a novel pricing methodology, in the context of limited historical data, for reusable spare parts; and a machine learning approach to improve airline passenger flows through London’s Heathrow airport.

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Bureika, Gintautas, Leonas Povilas Lingaitis, and Šarūnas Mikaliūnas. "INVESTIGATION OF DYNAMIC MODELS OF INDEPENDENTLY ROTATING WHEELS OF WAGONS." TRANSPORT 19, no. 1 (February 28, 2004): 28–31. http://dx.doi.org/10.3846/16484142.2004.9637949.

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The article deals with the modelling of independently rotating wheels (IRW) systems for wagons. The research work of the intensity of rolling stock wheels rims and flanges is observed. The main performance objectives of IRW are to reduce winding of wheel‐sets, to enable railway rolling stocks to achieve higher speeds, to decrease wear of rail and wheel rolling surface, to improve the performance on railway curves and to reduce lateral displacement on rails. IRW with profiled tread are examined and the mathematical model of these IRW is created. Finally, the peculiarities of the stability and wearing characteristics of such IRW systems are presented.

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Alexandrov, O. I. "SAMPLING OF THE PLAN OF REPAIRS OF THE MAIN EQUIPMENT IN THE ELECTRICAL POWER SYSTEM." ENERGETIKA. Proceedings of CIS higher education institutions and power engineering associations 60, no. 4 (July 7, 2017): 320–33. http://dx.doi.org/10.21122/1029-7448-2017-60-4-320-333.

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The main aspects of creation of the formal-and-functional mathematical models supporting a system for prompt resolution of repair requires in a complex electric power system are considered in the article. In accordance with the standards of repairs, inspections, replacement of elements of the main equipment or devices of a system of automation, inclusion of spare capacity, various switches, as well as with the frequency of outages adopted in practice, the decisionmaking process is formalized and automated as the problem of scheduling optimal daily schedules of blackouts, functioning as a part of automated system of dispatching management of electric power system. The main problems that hinder mathematical modeling of decision-making concerning operational applications for the repair of the main power equipment of power system are: the need for a coherent account of a large number of limiting factors and indicators of effectiveness of the solutions; the need of information and algorithmic trade-offs with the objectives of adjacent levels of spatial, temporal and functional hierarchy; the lack of developments in the standardization of information structures that adequately reflect the process of finding solutions; the computational complexity of several restrictions of the optimization problem subject to mandatory registration.

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Me´ndez-Adriani, J. A. "Dynamic Model for an Automotive Overhead Valve-Gear System." Applied Mechanics Reviews 42, no. 11S (November 1, 1989): S171—S174. http://dx.doi.org/10.1115/1.3152388.

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This research presents a lumped-parameter model, distinct from the ones developed until the present time, easily adaptable for its analog/hybrid simulation, and that combines favorably its simplicity and precision to represent appropriately an automotive valve gear system by means of the inclusion of the hydraulic lifter and of the viscous forces produced by its guide. The checking of this new mathematical model has been accomplished by means of a qualitative comparison with other models previously devised. This model will be useful in the design stage to predict the speed at which the valve jump occurs.

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Omilovna, Kasimova Nozima, Yakubova Dildar Muxamedjanovna, and Ibragimova Kamola Saidboriyevna. "Development of mathematical models in the development of investment activities of the automotive industry in Uzbekistan." ACADEMICIA: An International Multidisciplinary Research Journal 12, no. 5 (2022): 21–25. http://dx.doi.org/10.5958/2249-7137.2022.00361.5.

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AYDINLIK, Soner. "An Effective Numerical Technique for Boundary Value Problems Arising from an Adiabatic Tubular Chemical Reactor Theory." Bitlis Eren Üniversitesi Fen Bilimleri Dergisi 11, no. 3 (September 30, 2022): 857–60. http://dx.doi.org/10.17798/bitlisfen.1128254.

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Mathematical models for an adiabatic tubular chemical reactor which forms an irreversible exothermic reaction are investigated by an efficient numerical technique, Fibonacci Collocation method in this study. The reaction's steady-state temperature is calculated for several values of three parameters, namely, Peclet and Damkohler numbers and the dimensionless adiabatic temperature increment. When the generated outcomes are compared with the other numerical approaches, it has been sighted that the presented method produces reliable results for this type of problems.

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Gao, Yun Kai, and Da Wei Gao. "The Analysis of Automotive Door Seal Energy Consumption." Applied Mechanics and Materials 80-81 (July 2011): 714–18. http://dx.doi.org/10.4028/www.scientific.net/amm.80-81.714.

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The seal deformation of automotive door is caused by the door compression forces, including non-linear elastic force and non-linear damping force. The working principles of them are analyzed and a new simplified analysis model is built. Based on the Bernoulli equation and the law of conservation of mass, the mathematical models are established to calculate energy consumption of the seal system. According to the analysis results, the energy consumption of non-linear elastic force and non-linear damping force are respectively 84% and 16% of the total energy consumption of the seal system. At last, the calculation data is compared with the test data and the error is less than 5%, so the calculation method proposed in this paper is observed to be accurate.

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Podviezko, Valentinas, and Henrikas Sivilevičius. "THE STUDY OF THE STABILITY OF ASPHALT CONCRETE MIXTURE COMPOSITION OPTIMIZATION MATHEMATICAL MODELS USING IMITATIVE SIMULATION." TRANSPORT 18, no. 6 (December 31, 2003): 259–66. http://dx.doi.org/10.3846/16483840.2003.10414108.

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The method of statistical imitative simulation (Monte-Carlo) was used to simulate the heterogeneity of the produced asphalt concrete mixture (ACM) mineral part grading. The stability of optimisation of mathematical models of ACM composition developed by us was tested by a computer using tpe theory of this method application. Average values aij and their average standard deviations σ ij of seven (Aj = 7) finally hatched aggregate partial residues on control sieves i (i = 9) were set for research. Imported filler A 1 and reclaimed dust A 2 were replaced by their mixture Ā1 when the accepted ratio of these materials masses λ is 1, 2 and 3. The maximum (A max) and minimum (A j min) values of ACM materials quantity optimal composition were calculated from numerical values of aggregate with different heterogeneity ((minimum - σ ijmin, medium - σ ijvid , maximum - σ ijmax) increasing the number of computer imitations N (100, 300, 500, 1000, 5000, 10 000). The graphs of the difference between the calculated maximum and minimum values of optimal quantity of aggregate dependence ΔAj on the imitation number N are presented. Calculation results proved the sufficient stability and practical application of the used optimization mathematical model to forecast ACM heterogeneity, when the heterogeneity and optimal quantity of the aggregate used in the mixture are known.

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Liu, Wang, and Wang. "Evolutionary Analysis for Residential Consumer Participating in Demand Response Considering Irrational Behavior." Energies 12, no. 19 (September 29, 2019): 3727. http://dx.doi.org/10.3390/en12193727.

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Demand response (DR) has been recognized as a powerful tool to relieve energy imbalance in the smart grid. Most previous works have ignored the irrational behavior of energy consumers in DR project implementation. Accordingly, in this paper, we focus on solving two questions during the execution of DR. Firstly, considering the bounded rationality of residential users, a population dynamic model is proposed to describe the decision behavior on whether to participate in the DR project, and then the evolutionary process of consumers participating in DR is analyzed. Secondly, for the DR participants, they have to compete dispatching amounts for maximal profit in a day-ahead bidding market, hence, a non-cooperative game model is proposed to describe the competition behavior, and the uniqueness of the Nash equilibrium is analyzed with mathematical proof. Then, the distributed algorithm is designed to search the evolutionary result and the Nash equilibrium. Finally, a case study is performed to show the effectiveness of the formulated models.

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Arena, Fabio, Mario Collotta, Liliana Luca, Marianna Ruggieri, and Francesco Gaetano Termine. "Predictive Maintenance in the Automotive Sector: A Literature Review." Mathematical and Computational Applications 27, no. 1 (December 31, 2021): 2. http://dx.doi.org/10.3390/mca27010002.

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With the rapid advancement of sensor and network technology, there has been a notable increase in the availability of condition-monitoring data such as vibration, temperature, pressure, voltage, and other electrical and mechanical parameters. With the introduction of big data, it is possible to prevent potential failures and estimate the remaining useful life of the equipment by developing advanced mathematical models and artificial intelligence (AI) techniques. These approaches allow taking maintenance actions quickly and appropriately. In this scenario, this paper presents a systematic literature review of statistical inference approaches, stochastic methods, and AI techniques for predictive maintenance in the automotive sector. It provides a summary on these approaches, their main results, challenges, and opportunities, and it supports new research works for vehicle predictive maintenance.

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Rizki Amalia, Kiki. "Pemahaman Konsep Matematika Melalui Pendidikan Progresif dengan Penggunaan Kalkulator Saintifik." Griya Journal of Mathematics Education and Application 2, no. 4 (December 29, 2022): 1141–48. http://dx.doi.org/10.29303/griya.v2i4.241.

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The current education system must change according to the times. The existing conventional education system makes students far behind in keeping up with the times. Students are asked to remember knowledge from authentic sources such as reading textbooks, parents who rarely take part in educating their children, knowledge is only obtained from the results of teacher conversations in class, based on assignments given, very rare mastery of skills, and in the assessment, process are boxed according to the highest and lowest ratings. This conventional education system makes school a mandatory task and students must find ways to overcome it. The understanding of students' concepts is very lacking, especially the specter of mathematics which is seen as a difficult and long calculation. Progressive education is here to replace the current conventional education system and the use of scientific calculator digital technology media greatly facilitates students in understanding mathematical concepts which will be achieved from the indicators of concept understanding as follows: 1) restating the concepts that have been studied, (2) classifying objects -objects to achieve the formation of a concept, (3) identify the properties of a concept, (4) apply the concept logically, (5) provide correct and incorrect examples/contras of the concept being studied, (6) present the concept in the form of various kinds of mathematical representations such as tables, graphs, diagrams, pictures, sketches, or other mathematical models, (7) linking various concepts in mathematics and outside mathematics, (8) developing the requirements needed in understanding concepts.

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Bazaras, Jonas, Janina Jablonskytė, and Eglė Jotautienė. "INTERDEPENDENCE OF NOISE AND TRAFFIC FLOW." TRANSPORT 23, no. 1 (March 31, 2008): 67–72. http://dx.doi.org/10.3846/1648-4142.2008.23.67-72.

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Traffic flows in cities, especially in city centres, are intensive and uneven, moreover, registered noise levels exceed allowable limits. Noise levels have been measured at K. Mindaugo ave. and Birštono street crossing in Kaunas and data of automated traffic flow registration equipment have been used. A constant reduction of noise level from the beginning till the end of the green light has been identified ‐ “hot starts” generated noise dominates. To make estimates of noise and traffic flow interdependency, mathematical statistical models have been applied. Parameter distribution patterns have been analysed, prediction models have been composed.

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Zou, Mengjiao, Ye Yang, Mingguang Liu, Wen Wang, Heping Jia, Xiaofeng Peng, Shu Su, and Dunnan Liu. "Optimization Model of Electric Vehicles Charging and Discharging Strategy Considering the Safe Operation of Distribution Network." World Electric Vehicle Journal 13, no. 7 (June 29, 2022): 117. http://dx.doi.org/10.3390/wevj13070117.

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Against the background of carbon neutrality, the power dispatching operation mode has undergone great changes. It not only gradually realizes the coordinated control of source–grid–load–storage, but also strives to realize the multi-level coordination of the transmission network, distribution network and microgrid. Disorderly charging and discharging of large-scale electric vehicles (EVs) will have a great negative impact on the distribution network, but aggregating EVs and guiding them to charge and discharge in an orderly manner will play a positive role in delaying investment in the distribution network. Therefore, it is urgent to adopt an effective scheduling control strategy for electric vehicle charging and discharging. First, a variety of indexes were set to analyze the influence of EVs access on distribution network and the correlation between the indexes. Then, by defining the EVs penetration rate and the load simultaneous rate, the charging load planning of EVs was calculated. Based on the simultaneous load rate, the regional electricity load plan was calculated, and a configuration model of distribution capacity suitable for charging loads in different regions was constructed. Finally, an optimal dispatch model for electric vehicles considering the safety of distribution network was proposed and the distribution transformer capacity allocation model was used as the optimization target constraint. Compared with most optimized dispatch models used to maximize aggregator revenues and reduce peak-to-valley differences and load fluctuations in distribution networks, this model could effectively reduce unnecessary investment while meeting regional distribution transformer needs and maintaining distribution network security. Taking the improved IEEE 34-bus systems as an example, the simulation analysis was carried out and the investment demand of distribution network under the condition of disordered and orderly charge and discharge was compared. The results show that the proposed optimal scheduling method can effectively reduce the load fluctuation of distribution network, keep the voltage offset within the allowable voltage deviation range, and can effectively delay the investment of distribution network.

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Hess, Mirano, and Svjetlana Hess. "ASSIGNMENT OF STOCHASTIC MODELS FOR THE DOMAIN OF PORT TERMINAL OPERATIONS / STOCHASTINIŲ MODELIŲ TAIKYMAS, ATLIEKANT OPERACIJAS UOSTO TERMINALE / ПРИМЕНЕНИЕ СТОХАСТИЧЕСКИХ МОДЕЛЕЙ ДЛЯ ВЫПОЛНЕНИЯ ОПЕРАЦИЙ В ПОРТОВОМ ТЕРМИНАЛЕ." TRANSPORT 26, no. 2 (July 7, 2011): 149–57. http://dx.doi.org/10.3846/16484142.2011.586017.

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The paper presents the optimization possibilities of port terminal operations in order to generate maximum gain. Planning these processes is a demanding daily task taken on before dealing with port management, since transhipment operations, cargo loading and dispatching, maintenance and control of transhipment and transportation means are subject to hardly predictable and unexpectable stochastic conditions under which planning optimal terminal operations will include the examination of stochastic processes on the terminal. A model of states and transitions with gain and a model of optimal strategies in terminal management are set up. Furthermore, a model for determining the structure of transhipment equipment is developed. The devised models were adapted to the specificities of a port terminal and tested using the sample of a general cargo terminal. Santrauka Straipsnis nagrinėja uosto terminalo operacijų optimizavimo galimybes, siekiant didžiausio pelno. Šių procesų planavimas – kasdienis daug pastangų ir laiko reikalaujantis uždavinys, kurį reikia išspręsti prieš pradedant uosto valdymo operacijas, nes perkrovimo darbai, krovinių pakrovimas ir išsiuntimas, perkrovimo ir transportavimo priemonių eksploatavimo išlaidos bei kontrolė vyksta sunkiai prognozuojamomis ir nenumatytomis atsitiktinėmis sąlygomis, kai optimalių terminalo operacijų planavimas terminale apima dar tik įvyksiančius procesus. Darbe pristatomi struktūrinis ir optimalios terminalo valdymo strategijos modeliai. Be to, straipsnyje plėtojamas modelis, padedantis nustatyti perkrovimo įrenginių struktūrą. Pristatyti modeliai buvo pritaikyti uosto terminalo specifinėms reikmėms ir išmėginti naudojant bendrąjį krovinių terminalo pavyzdį. Резюме Исследуются возможности оптимизации операций в портовом терминале с целью получения максимальной прибыли. Планирование таких процессов – обыденная задача, требующая множества усилий и затрат времени. Эта задача должна быть решена перед определением операций по управлению портом, так как разгрузочно-погрузочные работы, погрузка и отправление грузов, эксплуатационные расходы и контроль перегружающего и транспортирующего оборудования ведутся в трудно прогнозируемых и зачастую непредвиденных случайных условиях. Представлены структурная модель и модель оптимальной стратегии по управлению терминалом. Кроме того, представлена модель, позволяющая определить структуру перегружающего оборудования терминала. Представленные модели были приспособлены для специфических условий портового терминала и реализованы на примере в обобщенном грузовом терминале.

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Tripathy, Mayank, and Pradeep Khanna. "MATHEMATICAL ANALYSIS OF BEAD PARAMETERS IN MIG WELDING OF STAINLESS STEEL 304." Journal of Production Engineering 23, no. 2 (December 30, 2020): 28–32. http://dx.doi.org/10.24867/jpe-2020-02-028.

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MIG welding process has gained prominence over the past few decades owing to its versatility, portability, all position weldability and ease of automation. These attributes of MIG welding make it suitable for usage in fabrication and automotive sectors over the other conventional welding processes. The present work is aimed to study the effects of varying the controllable input parameters on the weld bead shape, obtained by MIG welding on Stainless Steel-304. Statistical technique of Design of Experiments has been used for systematic and structured way of experimentation. The linear two factor interactive and quadratic effects of welding parameters and the response on the parameters work predicted by developing mathematical models by using center composite rotatable design technique. ANOVA analysis was carried to check the adequacy of the developed models. Response surface methodology was used to analyze the effects of input variables on the outputs through graphical means.

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Saputra, Bayu, Baidowi Baidowi, Muhammad Turmuzi, and Syahrul Azmi. "Pengaruh Model Pembelajaran Kooperatif Tipe Think Pair Share Berbantuan LKPD Terhadap Pemahaman Operasi Bentuk Aljabar Pada Siswa Kelas VII SMPN 13 Mataram Tahun 2021/2022." Griya Journal of Mathematics Education and Application 2, no. 3 (September 30, 2022): 821–29. http://dx.doi.org/10.29303/griya.v2i3.225.

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Success in learning mathematics can be seen from understanding students' initial mathematical concepts, but a low average score is an indication of difficulties in understanding mathematical concepts related to algebraic operations. This study aims to determine the effect of cooperative learning models Think Pair Share (TPS) type assisted by student worksheets (LKPD) on students' understanding of algebraic operations. The research design used was Pre-Experimental Design (Non Design) in the form of One-Group Pretest-Posttest Design. The population in this study was all class VII, while the selected sample was class VIIA as the control class and class VIIB as the experimental class. Data on the ability to understand different concepts were taken using a pretest-posttest instrument in the form of essay questions. Before further analyzing the results of the pretest-posttest, the two classes were first tested for normality and homogeneity. The results of the hypothesis test show that = 0.441 < = 1.96 which means Ho is accepted, so that there is a difference between understanding the operation of algebraic forms in the experimental and control classes or in other words there is no effect of the TPS type cooperative learning model assisted by LKPD on understanding the operation of the form. algebra to students. This indicates that learning with the TPS type cooperative learning model assisted by LKPD allows students to achieve conceptual understanding where indicators are to restate concepts, classify objects according to certain properties, state concepts in various forms of mathematical representation, use, utilize and choose procedures. or certain operations and apply concepts

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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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Larrahondo, Diego, Ricardo Moreno, Harold R. Chamorro, and Francisco Gonzalez-Longatt. "Comparative Performance of Multi-Period ACOPF and Multi-Period DCOPF under High Integration of Wind Power." Energies 14, no. 15 (July 27, 2021): 4540. http://dx.doi.org/10.3390/en14154540.

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Today, the power system operation represents a challenge given the security and reliability requirements. Mathematical models are used to represent and solve operational and planning issues related with electric systems. Specifically, the AC optimal power flow (ACOPF) and the DC optimal power flow (DCOPF) are tools used for operational and planning purposes. The DCOPF versions correspond to lineal versions of the ACOPF. This is due to the fact that the power flow solution is often hard to obtain with the ACOPF considering all constraints. However, the simplifications use only active power without considering reactive power, voltage values and losses on transmission lines, which are crucial factors for power system operation, potentially leading to inaccurate results. This paper develops a detailed formulation for both DCOPF and ACOPF with multiple generation sources to provide a 24-h dispatching in order to compare the differences between the solutions with different scenarios under high penetration of wind power. The results indicate the DCOPF inaccuracies with respect to the complete solution provided by the ACOPF.

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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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Journal articles on the topic 'Automotive Dispatching Mathematical models'

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