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Статті в журналах з теми "Transportation"

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Автор: Grafiati

Опубліковано: 4 червня 2021

Оновлено: 22 червня 2024

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1

Purnama, M. Herry. "Kajian Pembatasan Angkutan Kargo Perusahaan Angkutan Udara Niaga Berjadwal dan Perusahaan Khusus Kargo." WARTA ARDHIA 36, no. 2 (June 30, 2010): 124–42. http://dx.doi.org/10.25104/wa.v36i2.78.124-142.

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So far, Cargo transportation ran as well as there is no spesific problem, be cause commercial air transportation activity and special transportation company have spescial market segment clear regulation. If we see on Government no 40 tahn 1995 about air transportation that has been changed with government regulation no 3 th 2000 about air transportation in point 33 ayat 1 dan 3 that the tariff consist of passangers tariff and cargo tariff. cargo tariff is divided to be two tariff, there is cargo tariff International scheduled commercial transportation and domestic scheduled commercial transportation no scheduled transportation's price is based on agrement between service customer and transportation service provider. In Ministry of transportation’s regulation No. KM 25 Tahun 2008 about provider air transportation point 50 ayat 1, special domestic cargo air transpotation can be done schedully or not, meaning in this government regulation no prohibit limitation for commercial air transportation cargo.

2

Mansur, Salwa Salsabila, Sri Widowati, and Mahmud Imrona. "Determination of Optimal Public Transportation Routes Using Firefly and Tabu Search Algorithms." Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) 4, no. 5 (October 30, 2020): 884–91. http://dx.doi.org/10.29207/resti.v4i5.2259.

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Traffic congestion problems generally caused by the increasing use of private vehicles and public transportations. In order to overcome the situation, the optimization of public transportation’s route is required particularly the urban transportation. In this research, the performance analysis of Firefly and Tabu Search algorithm is conducted to optimize eleven public transportation’s routes in Bandung. This optimization aims to increase the dispersion of public transportation’s route by expanding the scope of route that are crossed by public transportation so that it can reach the entire Bandung city and increase the driver’s income by providing the passengers easier access to public transportations in order to get to their destinations. The optimal route is represented by the route with most roads and highest number of incomes. In this research, the comparison results between the reference route and the public transportation’s optimized route increasing the dispersion of public transportation’s route to 60,58% and increasing the driver’s income to 20,03%.

3

Malahova, Tat'yana, Oksana Pokrovskaya, and Vladimir yerbakov. "Assessment Methodology on Feasibility of Passenger Multimodal Transportation Appointment." Bulletin of scientific research results 2022, no. 3 (September 22, 2022): 39–52. http://dx.doi.org/10.20295/2223-9987-2022-3-39-52.

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Purpose: To study the impact of multimodal transportations on long-distance passenger transportations at the landfill of “FPC” Ltd. since in modern realities, train traffic planning without taking into account passenger demand can reduce railway competitive advantages in the market of transport mixed kind transportation and in the future, can lead to passenger dissatisfaction. To show the importance of making traffic schedule in accordance with passenger demand. To consider the matter on necessity of the supplement of existing approaches to multimodal route selection and on possibility to apply a regression model to forecast passenger flows. To pursue the testing of the developed methodology on the example of particular multimodal route. Methods: Comparison of existing approaches to multimodal transportation organization and their complement. Methods of mathematical statistics for passenger traffic flow forecasting. Results: The influence of multimodal transportations on long-distance passenger transportations at “FPC” Ltd landfill is considered. The criteria of multimodal transportation are defined. The methodology for feasibility assessment of multimodal route organization is proposed that allows estimating expected profit from transportation organization as well as predicting transportation impact on transportation process indicators. Practical importance: The recommendations and approaches proposed in the developed by the author methodology can be used for multimodal route development. The developed algorithm makes it possible to assess the prospects for passenger traffic change and allows yet at the preliminary selection stage for multimodal transportation organization options to perform a preliminary analysis of this organization economic feasibility.

4

Petrenko, O. I., and Y. R. Korniiko. "The Role of Transport Operators in the Organization of Multimodal Transportation." Business Inform 8, no. 523 (2021): 61–67. http://dx.doi.org/10.32983/2222-4459-2021-8-61-67.

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The article is aimed at defining the key difference between multimodal and intermodal transportations, as well as studying the role of transport operators in the organization of multimodal transportations. In the course of the study, it was identified that both in the scientific field and in practice, mixed transportation is often understood as synonymous with the concept of «multimodal transportation», but it is determined that all integrated (multimodal, intermodal, combined) and separate (segment) transportations are part of mixed ones, which complement each other. It is noted that multimodal and intermodal transportations have a certain difference between themselves, which consists in the presence of the number of contracts and the responsibility borne by the transportation operator. It is proposed to take into account all the conditions that cause influence on the result of the decision on the implementation of multimodal transportation. In the study of theoretical and practical aspects it was possible to allocate the operators of multimodal transportation as follows: operators who operate with sea vessels; operators who do not operate with sea vessels, but may own other rolling stock, warehouses, etc.; forwarders who are not always multimodal operators and can be agents of some part of a transportation and cooperate with the main operator. Their special role in the organization of multimodal transportation is substantiated, taking into account all the factors and elements that must closely interact with each other in the delivery process. Prospects for further research in this direction are the construction of an algorithm for choosing a multimodal operator, taking into account various conditions.

5

Nefyodov, V., and O. Pavlenko. "MODELING THE LOT CARGOES TRANSPORTATION SYSTEM IN CITIES." Municipal economy of cities 1, no. 161 (March 26, 2021): 187–90. http://dx.doi.org/10.33042/2522-1809-2021-1-161-187-190.

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The share of the transport component that is taken into account in the prices formation for final products reaches 50%, so the cost transport services has a great impact on the final goods price, and the need to carry out transportation in a tight time frame, take into account minimal costs require the emergence of new scientifically methods of their organization. The research purpose is to build the lot cargoes automobile transportations in cities system model. The research object is the lot cargoes automobile transportations in cities process. As the analysis result of lot cargoes automobile transportations rational technology formation in the cities, such basic problem at the transportation process organization is allocated - it is irrational transportation routes. It leads to a large overall truck mileage, as well as low transportation speed, which is unacceptable in the current competition. During the literature sources analysis, the most popular existing transportation routing methods were considered, by means of which in research it is planned to carry out transport routes building in cities and it was found out that the routes developed by means of these methods have average links. As the existing criteria analysis result of lot cargoes automobile transportations rational technology formation in the cities the transportations cost is chosen as a criterion. After analyzing the all modeling methods advantages and disadvantages, taking into account the scientific literature recommendations, it was decided to use mathematical modeling due to its results versatility and accuracy. After formalizing the research object, developed a model of "white box", in which for the selected input parameters (delivery points number, car load, the average consignment size delivered to one point) built the lot cargoes automobile transportations rational technology formation in the cities mathematical model, at which the transportation cost will be minimal.

6

Narayanamoorthy, S., and S. Kalyani. "The Intelligence of Dual Simplex Method to Solve Linear Fractional Fuzzy Transportation Problem." Computational Intelligence and Neuroscience 2015 (2015): 1–7. http://dx.doi.org/10.1155/2015/103618.

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An approach is presented to solve a fuzzy transportation problem with linear fractional fuzzy objective function. In this proposed approach the fractional fuzzy transportation problem is decomposed into two linear fuzzy transportation problems. The optimal solution of the two linear fuzzy transportations is solved by dual simplex method and the optimal solution of the fractional fuzzy transportation problem is obtained. The proposed method is explained in detail with an example.

7

Kopytov, Eugene, and Dmitry Abramov. "Multiple-Criteria Analysis and Choice of Transportation Alternatives in Multimodal Freight Transport System." Transport and Telecommunication Journal 13, no. 2 (January 1, 2012): 148–58. http://dx.doi.org/10.2478/v10244-012-0012-x.

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Multiple-Criteria Analysis and Choice of Transportation Alternatives in Multimodal Freight Transport System In the paper the multimodal freight transportation system with a finite number of known alternatives, defined by the routes and modes, is considered. The objective of research is to suggest the approach for evaluation and choice the alternatives of cargo transportation. The following main tasks are considered: choice of indices characterizing efficiency of multimodal transportations, formation of optimization criteria of the multimodal freight transportation, construction of the model of the multimodal transportation system, calculation the performance criteria of cargo transportation. The study presents the Analytic Hierarchy Process (AHP) as the most suitable approach for comparative evaluation of different routes and modes of cargo transportation.

8

Patra, Sarada Prasanna, and Dr Manjusmita Dash. "Cost Effective Transportation." Indian Journal of Applied Research 1, no. 7 (October 1, 2011): 151–54. http://dx.doi.org/10.15373/2249555x/apr2012/49.

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9

Rahnev, Mariyan. "TRANSPORTATION SYSTEMS MODELLING." Journal Scientific and Applied Research 18, no. 1 (March 3, 2020): 28–40. http://dx.doi.org/10.46687/jsar.v18i1.277.

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As it is with every activity, the transport network can be organized in many ways by using different technical means and technologies. Taking certain management decisions is connected with the choice of one of the many possible options for realization of the transportation process. This is done with the help of one or a few indicators which serve as a criterion of efficiency, e.g. exploitation costs, profit, safety, time, etc. The research of the transport objects functioning and the optimization of their parameters is a very complicated task in most of the cases. In such cases the solutions of the problems which concern us are derived by the research and experimentation with a substitute (analogue) of the real object, specially designed for this purpose. This analogue is called a model and the process of its creation is called modelling.

10

Kurganov, V. M., V. N. Mukayev, and M. V. Gryaznov. "OPTIMIZATION OF AUTOMOBILE TRANSPORTATION COSTS IN INDUSTRIAL ENTERPRISE." Russian Automobile and Highway Industry Journal 15, no. 5 (November 11, 2018): 672–85. http://dx.doi.org/10.26518/2071-7296-2018-5-672-685.

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Introduction.The authors prove the relevance of the costs’ reducing for motor transportation service in different departments of the industrial enterprise. The organizational and technological features of the industrial motor transport enterprise functioning and defining inexpediency of transfer of motor transportation function on outsourcing in full are revealed. The economic-mathematical model and the algorithm of decisions development on optimization of the automobile transportations costs in the industrial enterprise, which provide balance of interests of the customer to lower costs of motor transportation services and of the carrier to increase business profitability are offered. The expediency of implementation of such recommendations is proved on the example of motor transportation department of the large metallurgical company in Chelyabinsk region.Materials and methods. The analysis and systematization of the specialized scientific, standard, legal literature, economic-mathematical modeling of transport processes, and statistical technical and economic analysis of production information is conducted.Results.The following results are reached:- having scientific novelty: criterion of optimality and system of restrictions of the choice of decisions on cutting of costs for automobile transportations; mathematical apparatus of assessment of reserves of use of motor transport;- having the practical importance: the algorithm of development of decisions on optimization of costs of automobile transportations based on balance of interests of carrier and the customer of motor transportation services.Discussion and conclusions.The methodical recommendations about coordination of the customer and supplier interaction of motor transportation services are received. The implementation of such recommendations would provide the systematic 3-5% per year budget optimization in the industrial enterprise departments.

11

Anwar, Ahsani Amelia. "Online vs Konvensional: Keunggulan dan Konflik Antar Moda Transportasi di Kota Makassar." ETNOSIA : Jurnal Etnografi Indonesia 2, no. 2 (December 29, 2017): 220. http://dx.doi.org/10.31947/etnosia.v2i2.3012.

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The existence of online mode of transportation has attracted consumers’ attention, and therefore many switch from the use of conventional to online mode of transportation. The switch has become a trigger of conflict between drivers of conventional transportation, such as city transportation (angkot), taxi, motorbike (bentor), rickshaw (ojek pangkalan), and drivers of online transportation, such as Grab and Go-Jek. This artikel is focused on the existence and the conflict between these two mode of transportations in Kota Makassar. It was found that online transportation has become an alternative of transportation for society for a number of reasons: practicality, transparency, trustworthiness, security, insurance, features, discount and promotion rates, as well as new employment/part-time opportunities. The existence of online-based transportation has caused a conflict between the two. In one side, online transportation is considered to facilitate drivers and their passangers. On the other side, online transportation got criticised from drivers of conventional transportation due to the fact that the latter is being marginalised by the former. Conflict between the two is commonly base on operating lisence, colour of vehicle plate that significantly impacted on payment of taxes, passangers’ recruitment base, and competitive online transportation rates. The rate has becomeone of the advantages of online transportation as well as one of the source of conflicts between conventional and online transportation.

12

Hanning, Wang, Xu Weixiang, Jiulin Yang, Lili Wei, and Jia Chaolong. "Efficient Processing of ContinuousSkylineQuery over Smarter Traffic Data Stream for Cloud Computing." Discrete Dynamics in Nature and Society 2013 (2013): 1–10. http://dx.doi.org/10.1155/2013/209672.

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The analyzing and processing of multisource real-time transportation data stream lay a foundation for the smart transportation's sensibility, interconnection, integration, and real-time decision making. Strong computing ability and valid mass data management mode provided by the cloud computing, is feasible for handlingSkylinecontinuous query in the mass distributed uncertain transportation data stream. In this paper, we gave architecture of layered smart transportation about data processing, and we formalized the description about continuous query over smart transportation dataSkyline. Besides, we proposedmMR-SUDSalgorithm (Skylinequery algorithm of uncertain transportation stream data based onmicro-batchinMap Reduce) based on sliding window division and architecture.

13

Soule, James. "Transportation." HortScience 25, no. 1 (January 1990): 33–35. http://dx.doi.org/10.21273/hortsci.25.1.33.

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14

Keeler, Theodore E., and Charles A. Lave. "Transportation." Journal of Policy Analysis and Management 6, no. 1 (1986): 127. http://dx.doi.org/10.2307/3324096.

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15

Francois, Francis B. "Transportation." Public Works Management & Policy 4, no. 1 (July 1999): 4–9. http://dx.doi.org/10.1177/1087724x9941002.

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16

DUNN, JAMES A. "Transportation." American Behavioral Scientist 43, no. 1 (September 1999): 92–106. http://dx.doi.org/10.1177/00027649921955173.

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17

Armstrong, Moe. "Transportation." Psychosocial Rehabilitation Journal 17, no. 1 (1993): 82. http://dx.doi.org/10.1037/h0095624.

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18

Price, Laurie. "Transportation." Dialectical Anthropology 33, no. 1 (March 2009): 13. http://dx.doi.org/10.1007/s10624-009-9094-9.

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19

Dooling, D. "Transportation." IEEE Spectrum 31, no. 1 (January 1994): 62–65. http://dx.doi.org/10.1109/6.249075.

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20

Dooling, D. "Transportation." IEEE Spectrum 32, no. 1 (1995): 71–75. http://dx.doi.org/10.1109/6.366251.

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21

Dooling, D. "Transportation." IEEE Spectrum 33, no. 1 (January 1996): 82–86. http://dx.doi.org/10.1109/6.476741.

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22

Dooling, D. "Transportation." IEEE Spectrum 34, no. 1 (January 1997): 84–88. http://dx.doi.org/10.1109/6.560649.

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23

Murphy, E. E. "Transportation." IEEE Spectrum 27, no. 6 (June 1990): 26–28. http://dx.doi.org/10.1109/6.58399.

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24

Kumar, Jatinder, and William R. Belmont. "Natural Gas Transportation and Transportation Rates." Journal of Petroleum Technology 40, no. 02 (February 1, 1988): 237–40. http://dx.doi.org/10.2118/16246-pa.

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25

Bugromenko, V. N. "Modern transportation geography and transportation accessibility." Regional Research of Russia 1, no. 1 (January 2011): 27–34. http://dx.doi.org/10.1134/s2079970511010047.

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26

Glickenstein, Harvey. "What Next in Transportation? [Transportation Systems]." IEEE Vehicular Technology Magazine 9, no. 1 (March 2014): 17–21. http://dx.doi.org/10.1109/mvt.2013.2295300.

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27

Glickenstein, Harvey. "Renewed Modes of Transportation [Transportation Systems]." IEEE Vehicular Technology Magazine 10, no. 1 (March 2015): 17–31. http://dx.doi.org/10.1109/mvt.2014.2386151.

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28

Fujii, Minoru, Takatsune Kawahata, Seiji Hashimoto, Shinsuke Murakami, Keisuke Nansai, Masato Yamada, Masahiro Osako, and Yuichi Moriguchi. "Net Transportation for Measuring Transportation Efficiency." Journal of the Japan Society of Waste Management Experts 18, no. 1 (2007): 77–85. http://dx.doi.org/10.3985/jswme.18.77.

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29

Yang, Rui. "Research on the Correlation between Freight Transportation and National Economic Development." E3S Web of Conferences 253 (2021): 01008. http://dx.doi.org/10.1051/e3sconf/202125301008.

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Freight transportation is closely related to economic development. Freight transportation will promote economic development, and economic development will also promote the growth of freight transportation. Therefore, quantitative analysis of the relationship between the two has certain research significance. This article explores the correlation between the two stages and different modes of transportation through coupling analysis, cointegration analysis, and gray correlation analysis based on the data from 1989 to 2018 of freight transportation volume and GDP. The study found that, overall, the growth of freight volume has a certain role in promoting economic growth, and the correlation between different modes of transportation is different. Among them, the correlation between water transportation1 and GDP is the strongest, and civil aviation is the weakest. The correlation between highways and GDP is stronger than that of railways, and railway freight transportation still has certain development potential under the conditions of green transportation and the "promoting railway instead of highway transportation" environment and transportation policies. According to the analysis, it is expected that the growth of freight volume will continue to drive economic growth in the future, but different modes of transportation will lead to different functions. Therefore, while continuing to maintain the development momentum of the freight transportation industry, adjusting a more reasonable transportation structure will be more conducive to China's economic development.

30

Marpaung, Faridawaty, Arnita Arnita, and Nila Sari. "Maximal Flow of Transportation Network in Medan City Using Ford-Fulkerson Algorithm." International Journal of Science, Technology & Management 4, no. 1 (January 9, 2023): 100–106. http://dx.doi.org/10.46729/ijstm.v4i1.724.

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Transportation is a major component of living, government, and social systems. Tsocio-demographic conditions influence the performance. In this study has a purpose as an investigation of an event that measures the maximal capacity of the road as a way to overcome congestion. Searching for the maximal flow based upon the graph formed using the Ford-Fulkerson Algorithm with numerous stages, namely determining the possible pathway through the source point to the main point arranged in numerous iterations by analyzing the graph formed. Then the initialization process is given by zero flow from each side of the graph, then the search for maximal flow is obtained after doing as many as 16 iterations. The residual flow results from subtracting the total number of flows by the number of flows at each iteration. The iteration will stop if no more augmenting pathway is found. Cuts will occur if the amount of flow equals the amount of capacity. Research data is in the form of public transportations in Medan and routes. The data was obtained directly from the archives of the Transportation Service in Medan City. The search for the maximal flow of the transportation network is carried out by observing the public transportation route in the city of Medan, namely the public transportation route through Jalan Jamin Ginting to Jl. Various types of public transportation traverse Williem Iskandar. Based upon the research, the maximal capacity can be exceeded through the transportation network. There are 5 types of public transportations. The pathway through City Hall - Jl. Putri Hijau and the pathway through Jl. Perintis Kemerdekaan–Jl. HM. Yamin has exceeded capacity because the types of public transportation that pass through the two roads are 15 and 9. However, the other lanes are still low, so it should divert some types of public transportation overload to empty roads.

31

Lu, Jian Bo, and Pei Ling Zhang. "Highway Transportation’s Contribution Rate of Scientific and Technological Progress of China." Applied Mechanics and Materials 587-589 (July 2014): 1875–78. http://dx.doi.org/10.4028/www.scientific.net/amm.587-589.1875.

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In order to analyze the impact of the highway transportation’s contribution rate of scientific and technological progress in China on the economic development of the transportation ,reaching the target of establishing the Comprehensive Transportation , Intelligent Transportation, Green Transportation and Safe Transportation ,we adopt the combination of the Cobb-Douglas Function and the Solow Method of Remainder, with the coefficient of elasticity of funds and labor output , to acquire the highway’s contribution rate of scientific and technological progress of China. From that, we attain the contribution rate of scientific and technological progress from 2004 to 2012, and through the comparison with other fields, we draw a conclusion that the contribution rate of the highway transportation is higher than other fields, and we still should continually increase the science and technology input into the highway transportation to remain a good developing tendency.

32

Pavlova, Kristina, Todor Stoilov, and Krasimira Stoilova. "Bi-Level Model for Public Rail Transportation under Incomplete Data." Cybernetics and Information Technologies 17, no. 3 (September 1, 2017): 75–91. http://dx.doi.org/10.1515/cait-2017-0031.

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Abstract The increase of the utilization of public rail transportations is searched in directions for redistribution of the passenger travels between rail and bus transportation. The rail transport benefits by redistribution of the transportation flows on paths, predominantly supported by rails. The redistribution of the transportation is formalized by bi-level optimization problem. The upper level optimization estimates the maximal flow, which can be transported through a transportation network, supported both by bus and rail transports. The lower level optimization gives priority to the rail transport by decreasing the costs of flow distribution, using rail transport. This bi-level optimization problem was applied for the case of optimization of the rail exploitation in Bulgaria, defining priorities in transportation of the National transport scheme.

33

Pavlova, K., and T. Stoilov. "Design of State Rail and Bus Transportation Scheme with Bi-Level Optimization Model." Information Technologies and Control 15, no. 4 (December 1, 2017): 2–9. http://dx.doi.org/10.1515/itc-2017-0031.

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Abstract The increase of the rail public transportations is searched in directions for redistribution of the passenger travels between rail and bus transportation. The rail transport benefits by increasing it schedule for places where the transportation capacities on appropriate directions is not achieved. A mathematical model has been derived to assess the potential of the rail passenger transport to increase his capacity and efficiency. This potential has been evaluate in comparison with the competition of the bus transportation. A specific transportation route has been chosen from Sofia to Varna and the potential for increase of the rail transport has been evaluated. The mathematical model uses bi-level optimization problem, related to the evaluation of a maximal flow in a transportation network.

34

Marchenko, S. "ECONOMIC BASIS FOR FORECASTING THE VOLUME OF BULK CARGO SHIPPING." TRANSBAIKAL STATE UNIVERSITY JOURNAL 28, no. 3 (2022): 105–11. http://dx.doi.org/10.21209/2227-9245-2022-28-3-105-111.

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T his article deals with the actual problem of planning and forecasting the development of sea transportation of bulk cargoes; the solution of this problem in the modern conditions of the COVID-19 pandemic is especially significant. The author has created and researched a set of statistical data on the world sea transportation of the three main bulk cargoes, which include iron ore, coal and grain. A linear diagram with areas was formed, which visually characterizes the structure of sea transportation of the main bulk cargoes, as well as positive trends in its change over 37 years. The average annual growth rate of the maritime transportations of the considered cargo types was analyzed. A correlation field for sea transportations of the main bulk cargoes for the last 39 years has been constructed. An econometric model was developed, characterizing a linear relationship between the world volume of sea transportations of basic bulk cargoes and the year of their realization, which can be practically used by domestic shipping companies in planning their future financial results. The purpose of the research. Creation of an economic-mathematical model, which will be the methodological basis for forecasting the global volume of marine transportation of basic bulk cargoes when making management decisions by domestic shipping companies in the development of their bulk fleet. Methods. General scientific methods of system analysis and synthesis, methods of mathematical statistics are used in the given research. Results. The economic-mathematical model of forecasting the global volume of sea transportation of iron ore, coal and grain has been developed and used to define a possible value of sea transportation of the main bulk cargoes for 2025, which will increase by 2,4 % compared to 2019

35

Bogachev, Viktor, Petr Kurenkov, Evgeniya Chebotareva, Aleksandra Kravec, and Taras Bogachev. "Computational Experiment in Optimization Modeling of Multimodal Cargo Transportation Process Based on Egalitarian Principles." Bulletin of scientific research results 2022, no. 3 (September 22, 2022): 151–62. http://dx.doi.org/10.20295/2223-9987-2022-3-151-162.

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Purpose: To build an optimization model of multimodal cargo transportations in a port-side transport and technological system with the participation of rail and sea kinds of transport based on egalitarian principles, the model allows manipulating the values of parameters characterizing a transportation process and taking into account interests of transportation process participants within the frames of being considered cost indicators. Methods: An algorithm has been developed for planning the shipment and delivery of cargo flows to port station address in view of routing, time and cost parameters of transportation process which under, cost optimal values of being transported cargo and complex time indicators of transportation process are provided. One of the limitations in the optimization task is the volume of a ship batch that’s expected at any port unloading stations. The built mathematical model is a multi-criteria and multi-extreme task of nonlinear stochastic integer programming. The research theoretical and economic basis is the synthesis of the classical concepts of utilitarian and egalitarian approaches in a welfare theory that makes it possible to build sounded theoretically and demanded in practice the optimization models of multimodal freight transportation railway component. Results: Developed in analytical computing system environment the optimization algorithm provides opportunities along with Pareto optimal transportation plans for to find plans embodying “just in time” logistic concept, so at these plans, it is also achieved the balance of interests of transportation considered participants. Practical importance: An approach is proposed for to study freight transportation organization on a railway landfill wherein transportations are pursued within the framework of multimodal port-side transport and technological system. The developed models and algorithms can be recommended for practical use during the formation and analysis of logistic supply chains with rail and sea transport kind participation.

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Saraswati, Zenia F., Nefertari Pramudhita, Pradono, Goldie Melinda Wijayanti, and Dabi Sefianiz. "Transportation Infrastructure Relations on Economic Growth in Sumatra Island." IOP Conference Series: Earth and Environmental Science 830, no. 1 (September 1, 2021): 012099. http://dx.doi.org/10.1088/1755-1315/830/1/012099.

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Abstract Transportation infrastructure is a stimulus in the economic growth of the region, no exception in Indonesia. But the interaction between transportation and economic development is a link to transportation’s ability to magnify the impact of urbanization. This raises the question of whether the existence of transportation can explain the economic growth that is occurring. On the other hand, whether the lack of transportation infrastructure is due to the economic capabilities that exist in the region. This research aims to pay attention to the relationship between transportation and economic growth in Sumatra Island. The growth of transportation infrastructure may explain economic growth in all districts of Sumatra Island but the magnitude of those relations in the urban areas are far greater than in nonurban areas. Using the Multispatial CCM method, it appears that investment in transportation infrastructure does not directly increase the GDP of transportation in the region. This research suggests that road investment can have an impact on GDP through increasing the region’s population which then provides an increase in GDP.

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Saraswati, Zenia F., Nefertari Pramudhita, Pradono, Goldie Melinda Wijayanti, and Dabi Sefianiz. "Transportation Infrastructure Relations on Economic Growth in Sumatra Island." IOP Conference Series: Earth and Environmental Science 830, no. 1 (September 1, 2021): 012099. http://dx.doi.org/10.1088/1755-1315/830/1/012099.

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Abstract Transportation infrastructure is a stimulus in the economic growth of the region, no exception in Indonesia. But the interaction between transportation and economic development is a link to transportation’s ability to magnify the impact of urbanization. This raises the question of whether the existence of transportation can explain the economic growth that is occurring. On the other hand, whether the lack of transportation infrastructure is due to the economic capabilities that exist in the region. This research aims to pay attention to the relationship between transportation and economic growth in Sumatra Island. The growth of transportation infrastructure may explain economic growth in all districts of Sumatra Island but the magnitude of those relations in the urban areas are far greater than in nonurban areas. Using the Multispatial CCM method, it appears that investment in transportation infrastructure does not directly increase the GDP of transportation in the region. This research suggests that road investment can have an impact on GDP through increasing the region’s population which then provides an increase in GDP.

38

Ku, Bih-Yuan. "June 2021 Land Transportation News [Transportation Systems]." IEEE Vehicular Technology Magazine 16, no. 2 (June 2021): 5–7. http://dx.doi.org/10.1109/mvt.2021.3065789.

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Ku, Bih-Yuan. "March 2021 Land Transportation News [Transportation Systems]." IEEE Vehicular Technology Magazine 16, no. 1 (March 2021): 14–18. http://dx.doi.org/10.1109/mvt.2020.3042110.

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40

Ku, Bih-Yuan. "September 2022 Land Transportation News [Transportation Systems]." IEEE Vehicular Technology Magazine 17, no. 3 (September 2022): 12–15. http://dx.doi.org/10.1109/mvt.2022.3177871.

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Ku, Bih-Yuan. "June 2022 Land Transportation News [Transportation Systems]." IEEE Vehicular Technology Magazine 17, no. 2 (June 2022): 10–13. http://dx.doi.org/10.1109/mvt.2022.3156260.

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Ku, Bih-Yuan, and Bih-Yuan Ku. "December 2021 Land Transportation News [Transportation Systems]." IEEE Vehicular Technology Magazine 16, no. 4 (December 2021): 12–104. http://dx.doi.org/10.1109/mvt.2021.3113415.

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43

Ku, Bih-Yuan. "September 2021 Land Transportation News [Transportation Systems]." IEEE Vehicular Technology Magazine 16, no. 3 (September 2021): 14–17. http://dx.doi.org/10.1109/mvt.2021.3089845.

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Ku, Bih-Yuan, and Bih-Yuan Ku. "March 2022 Land Transportation News [Transportation Systems]." IEEE Vehicular Technology Magazine 17, no. 1 (March 2022): 12–15. http://dx.doi.org/10.1109/mvt.2021.3131920.

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Daggett, John, and Richard Gutkowski. "University Transportation Survey: Transportation in University Communities." Transportation Research Record: Journal of the Transportation Research Board 1835, no. 1 (January 2003): 42–49. http://dx.doi.org/10.3141/1835-06.

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Universities and transit agencies across the United States have been finding innovative ways of providing and financing mobility services on and around university campuses. Many transit agencies are providing substantially more service and moving substantially more riders than their counterparts in nonuniversity environments. Determining what types of relationships exist between transit performance and university policies or practices is the research premise. To that end, the purpose is to document the types of transportation policies, demographics, and land use characteristics that exist on university campuses, and to examine the relationship between transit performance, land use on university campuses, types of university communities, university transportation and parking policies, and student demographics. These characteristics of university transportation systems were examined through demographic data and a mailed questionnaire. The questionnaire was sent to 48 universities and transit agencies across the United States, with 23 responding with enough valid data and information to be included in the study. It has been demonstrated in a significant number of university communities across the country that transit performance is enhanced dramatically by certain fare policies. However, that enhancement differs from one community to the next. It is believed that the answer to maximizing transit performance can be found in a combination of factors and that the optimum mix can be identified empirically.

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Glickenstein, Harvey. "New Developments in Land Transportation [Transportation Systems." IEEE Vehicular Technology Magazine 5, no. 2 (June 2010): 17–20. http://dx.doi.org/10.1109/mvt.2010.936653.

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Glickenstein, Harvey. "News and Views in Transportation [Transportation Systems]." IEEE Vehicular Technology Magazine 9, no. 2 (June 2014): 14–19. http://dx.doi.org/10.1109/mvt.2014.2310555.

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Glickenstein, Harvey. "Upgrades to Transportation Systems Worldwide [Transportation Systems]." IEEE Vehicular Technology Magazine 9, no. 3 (September 2014): 18–23. http://dx.doi.org/10.1109/mvt.2014.2333631.

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Glickenstein, Harvey M. "December 2018 Land Transportation News [Transportation Systems]." IEEE Vehicular Technology Magazine 13, no. 4 (December 2018): 11–15. http://dx.doi.org/10.1109/mvt.2018.2867959.

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Glickenstein, Harvey. "March 2019 Land Transportation News [Transportation Systems]." IEEE Vehicular Technology Magazine 14, no. 1 (March 2019): 18–26. http://dx.doi.org/10.1109/mvt.2018.2881856.

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