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Zeitschriftenartikel zum Thema „Transportation software“

Autor: Grafiati

Veröffentlicht am 4. Juni 2021

Zuletzt aktualisiert am 15. Februar 2022

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1

Ferguson, Erik, Catherine Ross und Michael Meyer. „PC Software for Urban Transportation Planning“. Journal of the American Planning Association 58, Nr. 2 (30.06.1992): 238–43. http://dx.doi.org/10.1080/01944369208975800.

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2

Ross, Steven C., und Richard L. Schwaller. „Solving Transportation Models With Spreadsheet Software“. Journal of Applied Business Research (JABR) 6, Nr. 3 (21.10.2011): 60. http://dx.doi.org/10.19030/jabr.v6i3.6291.

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This paper describes the solution of transportation models on personal computers (PCs) using spreadsheet and other readily-available software. We choose PCs because of their commonness in university colleges of business and in organizations of all size. The models discussed include a simple transportation model and more complex models involving quantity discounts and multiple brands. The techniques are applicable to other linear programming situations. To facilitate their use, detailed descriptions of both model formulation and the use of the optimizing software are provided.

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3

Chen, Daugherty und Jones. „Ensuring Returns Management Software Effectiveness through Joint Development Orientation“. Transportation Journal 55, Nr. 1 (2016): 1. http://dx.doi.org/10.5325/transportationj.55.1.0001.

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4

Bartin, Bekir, Kaan Ozbay, Matthew D. Maggio und Hao Wang. „Work Zone Coordination Software Tool“. Transportation Research Record: Journal of the Transportation Research Board 2617, Nr. 1 (Januar 2017): 60–70. http://dx.doi.org/10.3141/2617-08.

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Faced with a growing number of work zones, transportation agencies are being challenged to effectively manage the impacts of these zones, alleviate congestion, and maintain the safety of motorists and workers without disrupting project schedules. Coordinating work zones has already been practiced by various state departments of transportation and transportation agencies, yet there are no universal department of transportation policies that address how agencies should coordinate or consolidate projects. In addition, only a few states utilize computer tools specific to regional or corridor-based work zone coordination. State departments of transportation mostly coordinate significant and long-term projects. However, the majority of roadway projects include minor repair, roadway maintenance, bridge maintenance, surveying, and landscape and utility work that require relatively short-term work zones. The Work Zone Coordination Software tool was developed to provide the New Jersey Department of Transportation with an easy-to-use tool to evaluate the feasibility and effectiveness of coordinating short- and long-term work zones and to measure the benefits. This online tool is implemented with a web-based user interface. It integrates all scheduled and active construction projects, identifies conflicts between work zone projects, and estimates the benefits of conflict mitigation. The Work Zone Coordination Software tool works with the New Jersey work zone database by automatically importing data to provide up-to-date information to its users. However, the tool is built on a flexible framework that allows the integration of any work zone database provided that it includes all the required information.

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5

Wolf, Dieter M. „TRANSYS - Space Transportation System preliminary design software“. Journal of Spacecraft and Rockets 31, Nr. 6 (November 1994): 1067–71. http://dx.doi.org/10.2514/3.26560.

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6

Espinosa, Judith M., Eric F. Holm und Mary E. White. „Creating Intelligent, Coordinated Transit“. Transportation Research Record: Journal of the Transportation Research Board 1927, Nr. 1 (Januar 2005): 138–48. http://dx.doi.org/10.1177/0361198105192700116.

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New Mexico is among the first states in the United States to develop, implement, and deploy contactless, smart card technology in a rural area. The Alliance for Transportation Research Institute, working with the New Mexico Department of Transportation's Public Transportation Programs Bureau, developed the Intelligent, Coordinated Transit (ICTransit) smart card technology and the Client, Referral, Ridership, and Financial Tracking (CRRAFT) software. The U.S. Department of Transportation's FTA–FHWA Joint Program Office provided federal funding for the project. The ICTransit smart card functions as a universal use electronic fare card, enabling passengers to transfer between transit providers to access jobs, education, and health care beyond their local rural communities. ICTransit's Global Positioning System receiver and Pocket PC capture the time and location that passengers board and exit the vehicle and the passenger miles traveled on the vehicle. The CRRAFT software system for express scheduling, automatic generation of monthly financial reports, and onboard tracking of ridership provides increased efficiency in rural areas. The ICTransit system with CRRAFT can overcome barriers to coordinated interagency transportation and provide increased access and mobility to all, but especially to those underserved by public transportation. ICTransit with CRRAFT can empower states to build coordinated transportation networks that provide safe and seamless movement of people and enhance the quality of life.

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Kazakoff, Alexander. „Advances in Engineering Software for Lift Transportation Systems“. Journal of Theoretical and Applied Mechanics 42, Nr. 1 (01.03.2012): 3–22. http://dx.doi.org/10.2478/v10254-012-0001-4.

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Advances in Engineering Software for Lift Transportation Systems In this paper an attempt is performed at computer modelling of ropeway ski lift systems. The logic in these systems is based on a travel form between the two terminals, which operates with high capacity cabins, chairs, gondolas or draw-bars. Computer codes AUTOCAD, MATLAB and Compaq-Visual Fortran - version 6.6 are used in the computer modelling. The rope systems computer modelling is organized in two stages in this paper. The first stage is organization of the ground relief profile and a design of the lift system as a whole, according to the terrain profile and the climatic and atmospheric conditions. The ground profile is prepared by the geodesists and is presented in an AUTOCAD view. The next step is the design of the lift itself which is performed by programmes using the computer code MATLAB. The second stage of the computer modelling is performed after the optimization of the co-ordinates and the lift profile using the computer code MATLAB. Then the co-ordinates and the parameters are inserted into a program written in Compaq Visual Fortran - version 6.6., which calculates 171 lift parameters, organized in 42 tables. The objective of the work presented in this paper is an attempt at computer modelling of the design and parameters derivation of the rope way systems and their computer variation and optimization.

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I. K. Beysembetov, T. T. Bekibayev, U. K. Zhapbasbayev, G. I. Ramazanova und M. Panfilov. „SMARTTRAN SOFTWARE FOR TRANSPORTATION OF OIL JSC KAZTRANSOIL“. NEWS of National Academy of Sciences of the Republic of Kazakhstan 2, Nr. 440 (15.04.2020): 6–13. http://dx.doi.org/10.32014/2020.2518-170x.25.

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9

Kukartsev, V. V., V. S. Tynchenko, A. S. Mikhalev, E. A. Nozdrenko, N. V. Sokolovskiy und A. A. Rukosueva. „The software application for cargo transportation routes optimization“. Journal of Physics: Conference Series 1582 (Juli 2020): 012051. http://dx.doi.org/10.1088/1742-6596/1582/1/012051.

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10

Islam, M. Nazrul, und Prianka N. Seneviratne. „Work-zone traffic management with transportation planning software“. Canadian Journal of Civil Engineering 20, Nr. 3 (01.06.1993): 471–79. http://dx.doi.org/10.1139/l93-061.

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In this paper, the pros and cons of applying transportation planning software (TPS) in work-zone traffic management are investigated. The overall objective is to provide potential users, particularly small municipalities, with a basis for selecting the TPS best suited for evaluating traffic management alternatives for work zones. Four TPSs (TRANPLAN, MINUTP, SYSTEM II, and QRS II) were examined and rated with respect to eleven characteristics, SYSTEM II and QRS II, rated first and second, respectively, are used to assign traffic in a selected network. Alternate routes during road work are identified to minimize total delay and noise impact. The performance of the two TPSs is assessed in relation to predictive accuracy, post-processing requirements, and compatibility with other software. It is found that, while concerns about predictive accuracy and training needs can be overcome at a price, some special features are required within the present generation of TPS for them to be truly beneficial in the routine analysis of work-zone traffic plans. The significance of these features is discussed in reference to the assignment case study. Key words: traffic assignment, work zone, traffic management, planning, software, SYSTEM II, QRS II.

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Yoo, Chae Woo. „An approach to the transportation of computer software“. Information Processing Letters 21, Nr. 3 (September 1985): 153–57. http://dx.doi.org/10.1016/0020-0190(85)90021-3.

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12

Coombe, R. D. „Review of computer software for traffic engineers“. Transport Reviews 9, Nr. 3 (Juli 1989): 217–34. http://dx.doi.org/10.1080/01441648908716725.

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13

Opp, Breuklyn, und Kurt A. Rosentrater. „Developing a Software Tool to Estimate Food Transportation Carbon Emissions“. Journal of Food Research 9, Nr. 4 (13.06.2020): 10. http://dx.doi.org/10.5539/jfr.v9n4p10.

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Food transportation is an increasingly important consideration to total food sustainability in a rapidly globalizing world. To maintain the efficiency of regionalized production, food travels great distances to the consumer’s plate. While this long-distance sourcing is often more sustainable from a production standpoint, the routes from origin to consumer are frequently unoptimized. To reduce emissions due to transportation, many have tried to limit the miles travelled by food items. However, the mode of travel is an equally important factor. Different modes produce vastly different emissions over equivalent distances. To effectively model these routes, a set of transportation emissions estimation tools has been created. This program uses an Excel interface to allow users to input key factors (like cargo mass, origin, and destination) and experiment with different modes and routes of travel to find the optimal transportation system for their application. This program may be used to analyze or improve the total life cycle analysis of a variety of products. In a case of the comparison of transportation modes, a salmon transportation route from the Faroe Islands (America’s 2nd largest source of imported fresh salmon) to Richmond, VA, USA, resulted in a roughly 98% reduction of emissions when shipped via sea rather than flown. In a case of transportation optimization, the reciprocal trade of beef between Costa Rica and the United States was found to result in at least 158,000 kg of CO2eq annually. These cases (and others) show the great need for better route optimization in food transportation systems.

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Sachin Kumar, Sachin Kumar, Agam Damaraju Sachin Kumar, Aditya Kumar Agam Damaraju, Saru Kumari Aditya Kumar und Chien-Ming Chen Saru Kumari. „LSTM Network for Transportation Mode Detection“. 網際網路技術學刊 22, Nr. 4 (Juli 2021): 891–902. http://dx.doi.org/10.53106/160792642021072204016.

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15

Supattananon und Akararungruangkul. „Modified Differential Evolution Algorithm for a Transportation Software Application“. Journal of Open Innovation: Technology, Market, and Complexity 5, Nr. 4 (12.10.2019): 84. http://dx.doi.org/10.3390/joitmc5040084.

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This research developed a solution approach that is a combination of a web application and the modified differential evolution (MDE) algorithm, aimed at solving a real-time transportation problem. A case study involving an inbound transportation problem in a company that has to plan the direct shipping of a finished product to be collected at the depot where the vehicles are located is presented. In the newly designed transportation plan, a vehicle will go to pick up the raw material required by a certain production plant from the supplier to deliver to the production plant in a manner that aims to reduce the transportation costs for the whole system. The reoptimized routing is executed when new information is found. The information that is updated is obtained from the web application and the reoptimization process is executed using the MDE algorithm developed to provide the solution to the problem. Generally, the original DE comprises of four steps: (1) randomly building the initial set of the solution, (2) executing the mutation process, (3) executing the recombination process, and (4) executing the selection process. Originally, for the selection process in DE, the algorithm accepted only the better solution, but in this paper, four new selection formulas are presented that can accept a solution that is worse than the current best solution. The formula is used to increase the possibility of escaping from the local optimal solution. The computational results show that the MDE outperformed the original DE in all tested instances. The benefit of using real-time decision-making is that it can increase the company’s profit by 5.90% to 6.42%.

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Dhawankar, Piyush, Mohsin Raza, Hoa Le-Minh und Nauman Aslam. „Software-Defined Approach for Communication in Autonomous Transportation Systems“. EAI Endorsed Transactions on Energy Web 4, Nr. 12 (14.07.2017): 152924. http://dx.doi.org/10.4108/eai.14-7-2017.152924.

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17

Салих, Хайдер Сабах, Юйань Ван und Мухамаджон Идибоевич Исмоилов. „Research of Scada Software for Control Gas Transportation System“. Automation and Control in Technical Systems, Nr. 4 (19.01.2015): 141. http://dx.doi.org/10.12731/2306-1561-2014-4-14.

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18

Lam, William H. K., Hong K. Lo und S. C. Wong. „Transportation Network Reliability“. Transportmetrica B: Transport Dynamics 1, Nr. 3 (Dezember 2013): 171–73. http://dx.doi.org/10.1080/21680566.2013.874218.

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19

Носков, С. И., und К. С. Перфильева. „SOFTWARE PACKAGE FOR CONSTRUCTING LINEAR REGRESSION models USING THE MIXED ESTIMATION METHOD“. Южно-Сибирский научный вестник, Nr. 3(37) (30.06.2021): 38–42. http://dx.doi.org/10.25699/sssb.2021.37.3.015.

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В статье описывается программный комплекс, обеспечивающий возможность оценивания параметров линейного регрессионного уравнения методами смешанного оценивания (МСО), наименьших квадратов (МНК) и модулей (МНМ), а также антиробастного оценивания (МАО). Разработанный программный комплекс применен для моделирования объема погрузки основных видов грузов железнодорожным транспортом, в качестве независимых переменных определены объемы погрузки конкурирующими видами транспорта. Это такие факторы, как перевозки автомобильным, морским, трубопроводным и внутренним водным транспортом. Проведён анализ полученных моделей, оценены значения критериев смещения, относительных ошибок аппроксимации, согласованности поведения. The article considers a software package that provides the ability to estimate the parameters of a linear regression equation using mixed estimation (MSO), least squares (OLS) and modules (MCM), as well as anti-blast estimation (MAO). The developed software package was used to model the volume of loading of the main types of cargo by rail, and the competing types of transportation in relation to rail transportation were selected as independent variables. These are such factors as transportation by road, transportation by sea, transportation by pipeline, transportation by inland water transport. The analysis of the obtained models is carried out, the bias criteria, the relative approximation errors, and the generalized behavior consistency criterion (RSPC) are evaluated.

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Aida, Fitria Noor, und Windi Rahmanda. „ANALISIS BIAYA TRANSPORTASI DISTRIBUSI PUPUK MENGGUNAKAN SOFTWARE LINGO“. JURNAL REKAYASA SISTEM INDUSTRI 5, Nr. 2 (30.05.2020): 135. http://dx.doi.org/10.33884/jrsi.v5i2.1930.

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The distribution of fertilizers in Central Sulawesi Province has not been efficient due to the large transportation costs in March 2016, the distribution of fertilizers could not go directly to retailers because the distance between regencies was far enough so that fertilizer was sent to distributors before to retailers to minimize costs to be incurred. company. Transhipment problems are in the form of indirect distribution problems because the products sent must go through several stages before reaching the consumer. This study will compare the Vogel Approximation method in previous studies with the completion of linear programming with Lingo software tools. Transportation costs using the Vogel Approximation method in previous studies compared with transportation costs using the Lingo software tool have the same cost of IDR 508,289,000, but there are several different fertilizer distributions. Lingo software simplifies data processing so that the results obtained are more accurate than the Vogel Approximation method. Companies can use lingo software to minimize costs by working effectively and efficiently.

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Patel, Raman K., und Edward J. Seymour. „National transportation communication for its protocol (NTCIP) for transportation interoperability“. Computer Standards & Interfaces 21, Nr. 2 (Juni 1999): 140. http://dx.doi.org/10.1016/s0920-5489(99)92078-0.

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22

Winter, Stephan, Monika Sester, Ouri Wolfson und Glenn Geers. „Towards a computational transportation science“. ACM SIGMOD Record 39, Nr. 3 (08.02.2011): 27–32. http://dx.doi.org/10.1145/1942776.1942785.

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23

Balinski, M. L., und Fred J. Rispoli. „Signature classes of transportation polytopes“. Mathematical Programming 60, Nr. 1-3 (Juni 1993): 127–44. http://dx.doi.org/10.1007/bf01580606.

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24

Orlov, Sergey, und Andrei Vishnyakov. „Hierarchical Criterion Approach for Architecture Structure Selection of Transportation Software“. Procedia Engineering 178 (2017): 233–42. http://dx.doi.org/10.1016/j.proeng.2017.01.104.

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25

Shchegolova, N., V. Talalai, C. Gorshenina und D. Smirnova. „Software modeling application for verification of transportation planning engineering hypotheses“. IOP Conference Series: Materials Science and Engineering 832 (09.06.2020): 012055. http://dx.doi.org/10.1088/1757-899x/832/1/012055.

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26

Din, Sadia, Anand Paul und Abdul Rehman. „5G-enabled Hierarchical architecture for software-defined intelligent transportation system“. Computer Networks 150 (Februar 2019): 81–89. http://dx.doi.org/10.1016/j.comnet.2018.11.035.

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Yunianto, I. T., P. Wuryaningrum, T. Achmadi, F. Hadi, S. D. Lazuardi und M. B. Ilham. „Integrated tourism transportation software design: case study of Lombok Island“. IOP Conference Series: Earth and Environmental Science 649, Nr. 1 (01.02.2021): 012035. http://dx.doi.org/10.1088/1755-1315/649/1/012035.

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28

Ojha, Anupam, Barun Das, Shyamal Kumar Mondal und Manoranjan Maiti. „A multi-item transportation problem with fuzzy tolerance“. Applied Soft Computing 13, Nr. 8 (August 2013): 3703–12. http://dx.doi.org/10.1016/j.asoc.2013.04.004.

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Gupta, Kavita, und Ritu Arora. „Three dimensional bounded transportation problem“. Yugoslav Journal of Operations Research, Nr. 00 (2020): 13. http://dx.doi.org/10.2298/yjor191215013g.

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This article presents a methodology to solve a three dimensional bounded transportation problem. Bounded transportation problem is expounded by defining a parallel bounded transportation problem. Equivalence between the two problems is established. The proposed model is applied to public distribution system of North Delhi. A computing software LINGO 17:0 is used to solve the application.

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Kuo, Yong-Hong, und W. Y. Szeto. „Smart transportation and analytics“. Transportmetrica B: Transport Dynamics 6, Nr. 1 (02.01.2018): 1–3. http://dx.doi.org/10.1080/21680566.2017.1393968.

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31

Wang, Yuan-Gen, Guopu Zhu und Yun-Qing Shi. „Transportation Spherical Watermarking“. IEEE Transactions on Image Processing 27, Nr. 4 (April 2018): 2063–77. http://dx.doi.org/10.1109/tip.2018.2795745.

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Joseph, A. D., A. R. Beresford, J. Bacon, D. N. Cottingham, J. J. Davies, B. D. Jones, Haitao Guo et al. „Intelligent Transportation Systems“. IEEE Pervasive Computing 5, Nr. 4 (Oktober 2006): 63–67. http://dx.doi.org/10.1109/mprv.2006.77.

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Stetsyuk, P., O. Lykhovyd und A. Suprun. „On Linear and Quadratic Two-Stage Transportation Problem“. Cybernetics and Computer Technologies, Nr. 4 (31.12.2020): 5–14. http://dx.doi.org/10.34229/2707-451x.20.4.1.

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Introduction. When formulating the classical two-stage transportation problem, it is assumed that the product is transported from suppliers to consumers through intermediate points. Intermediary firms and various kinds of storage facilities (warehouses) can act as intermediate points. The article discusses two mathematical models for two-stage transportation problem (linear programming problem and quadratic programming problem) and a fairly universal way to solve them using modern software. It uses the description of the problem in the modeling language AMPL (A Mathematical Programming Language) and depends on which of the known programs is chosen to solve the problem of linear or quadratic programming. The purpose of the article is to propose the use of AMPL code for solving a linear programming two-stage transportation problem using modern software for linear programming problems, to formulate a mathematical model of a quadratic programming two-stage transportation problem and to investigate its properties. Results. The properties of two variants of a two-stage transportation problem are described: a linear programming problem and a quadratic programming problem. An AMPL code for solving a linear programming two-stage transportation problem using modern software for linear programming problems is given. The results of the calculation using Gurobi program for a linear programming two-stage transportation problem, which has many solutions, are presented and analyzed. A quadratic programming two-stage transportation problem was formulated and conditions were found under which it has unique solution. Conclusions. The developed AMPL-code for a linear programming two-stage transportation problem and its modification for a quadratic programming two-stage transportation problem can be used to solve various logistics transportation problems using modern software for solving mathematical programming problems. The developed AMPL code can be easily adapted to take into account the lower and upper bounds for the quantity of products transported from suppliers to intermediate points and from intermediate points to consumers. Keywords: transportation problem, linear programming problem, AMPL modeling language, Gurobi program, quadratic programming problem.

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Bulut, Hasan. „Multiloop transportation simplex algorithm“. Optimization Methods and Software 32, Nr. 6 (09.12.2016): 1206–17. http://dx.doi.org/10.1080/10556788.2016.1260568.

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Zhang, Wei, Qinming Qi und Jing Deng. „Building Intelligent Transportation Cloud Data Center Based on SOA“. International Journal of Ambient Computing and Intelligence 8, Nr. 2 (April 2017): 1–11. http://dx.doi.org/10.4018/ijaci.2017040101.

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This paper is targeted at issues including traditional stovepipe data center, low utilization of IT equipment and data resources as a result of rigid IT structure, high maintenance costs and high energy consumption in system operation. By taking Beijing Municipal Committee of Transport (BMCT)'s data center as an example, a way to establish distributed traffic cloud data center based on SOA (Service-Oriented Architecture) fused with cloud computing is introduced in this paper; in addition, network-aware energy conservation scheduling DENS (Data- center Energy-efficient Network-aware Scheduling) algorithm applied in cloud data center is put forward to realize the full utilization of all kinds of resources in the cloud data center. Experimental results also show the effectiveness of the proposed algorithm by comparing with traditional DENS algorithms.

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Liu, Pei, Lixing Yang, Li Wang und Shukai Li. „A solid transportation problem with type-2 fuzzy variables“. Applied Soft Computing 24 (November 2014): 543–58. http://dx.doi.org/10.1016/j.asoc.2014.08.005.

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Chen, Lin, Jin Peng und Bo Zhang. „Uncertain goal programming models for bicriteria solid transportation problem“. Applied Soft Computing 51 (Februar 2017): 49–59. http://dx.doi.org/10.1016/j.asoc.2016.11.027.

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Tang, Ping, und Chun Hua Pan. „Ladle Transportation Car Frame Finite Element Analysis“. Advanced Materials Research 591-593 (November 2012): 841–44. http://dx.doi.org/10.4028/www.scientific.net/amr.591-593.841.

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Using the mechanical design of the software Solid works to established the 280 t LF the ladle furnace transportation car frame three dimensional model, and by using the finite element analysis of software Cosmos/works to static analysis for the frames, revealing that the frame of structure stress and strain distribution map of the frame, and also reveals that dangerous points and dangerous sections. Using resistance strain gauge to measure 280 t ladle transportation car frame, it is concluded that the frame of stress and strain distributions. Through the electrical measurement test the results were compared with finite element analysis results, further proof that the finite element analysis of the accuracy of the results provides theory basis for the optimization design of the frames.

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Rincon-Garcia, Nicolas, Ben J. Waterson und Tom J. Cherrett. „Requirements from vehicle routing software: perspectives from literature, developers and the freight industry“. Transport Reviews 38, Nr. 1 (05.03.2017): 117–38. http://dx.doi.org/10.1080/01441647.2017.1297869.

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Florian, Michael. „Models and Software for Urban and Regional Transportation Planning: The Contributions of the Center for Research on Transportation“. INFOR: Information Systems and Operational Research 46, Nr. 1 (Februar 2008): 29–49. http://dx.doi.org/10.3138/infor.46.1.29.

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Jang, Ji Young, Woo-Keun Kwon, Haewon Roh, Jong Ha Moon, Jun Seong Hwang, Yoon Jic Kim und Jang Hun Kim. „Time-saving effects using helicopter transportation: comparison to a ground transportation time predicted using a social navigation software“. Medicine 100, Nr. 27 (09.07.2021): e26569. http://dx.doi.org/10.1097/md.0000000000026569.

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Wojaczek, Anna, Michael Scott Brown und Tomasz Smal. „Developing Software Requirements Specification for a strategic goods air transportation system“. Scientific Journal of the Military University of Land Forces 198, Nr. 4 (15.12.2020): 906–17. http://dx.doi.org/10.5604/01.3001.0014.5875.

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Management of air transportation of strategic goods is a very complex task with many challenges. This paper describes the method used in documenting the requirements for an IT system intended to support management of air transportation of military and dual-use goods. The work was completed in conjunction with a private logistics company. The project produced a Software Requirements Specification document and a working prototype. The document and prototype are held by the Military University of Land Forces of Poland. Requirements were solicited from numerous sources. A private logistics company, numerous books and personal experience of the team members all contributed to requirements. These requirements were then analyzed and a final set of requirements was produced. Screen mock-ups and a working prototype were developed. Selected screen shots are within the paper. The working prototype was developed by constructing a database and using a code generator to produce a web application.

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de Stefano, Ercilia, Marcio Peixoto de Sequeira Santos und Ronaldo Balassiano. „Development of a software for metric studies of transportation engineering journals“. Scientometrics 109, Nr. 3 (04.10.2016): 1579–91. http://dx.doi.org/10.1007/s11192-016-2152-6.

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M. Chu, K., und A. Abdulrazik. „Optimal Biomass Transportation Model“. Journal of Chemical Engineering and Industrial Biotechnology 7, Nr. 1 (29.04.2021): 23–31. http://dx.doi.org/10.15282/jceib.v7i1.5642.

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The transportation represents a key proportion of the operational cost for the biomass industries worldwide. As biomasses are mainly carried by trucks for parts of the transportation, the focus of this paper is on the transport of treated and untreated biomass (rice husk, empty fruit bunch, and woody biomass) by large, medium and small trucks. The objectives were to formulate biomass transportation model for transporting treated and untreated biomass resources and to obtain optimal result for selecting the best transportation mode. By screening of biomass types, locations for treated and untreated biomass resources and screening of suitable transportation mode used, the important model parameters were obtained and linear programming for minimizing overall transportation costs was formulated. General Algebraic Modelling System (GAMS) software was used to solve the optimization formulations. From the optimization result obtained by using GAMS, large truck was selected to be the best transportation mode for treated, untreated and hybrid biomass since it showed minimal overall transportation cost.

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Françoso, Maria Teresa, Diogenes Cortijo Costa, Mariana Mello Valin und Rogério Rodrigues Amarante. „Free Software for Development of Web GIS in Tourism Accessibility“. Applied Mechanics and Materials 256-259 (Dezember 2012): 2953–56. http://dx.doi.org/10.4028/www.scientific.net/amm.256-259.2953.

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Based on the concepts of social inclusion, universal design, and accessibility, this paper aims to describe the stages of the development and implementation of a Geographic Information System for the Internet (Web GIS) based on open source (OS) software. The Web GIS developed is called "Accessibility to Campinas Tourist Attractions", which provides information about cultural and natural attractions in Campinas/SP- Brazil, especially for people with disabilities or reduced mobility that prevents access these sites via public and private transportation. The verification of the existence or lack of accessibility equipment at bus stops and parking areas close to tourist attractions relies on current legislation (NBR 9050) that establishes the right to accessibility for disabled people to transportation, local culture, and leisure.

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de Maine, P. A. D., und S. Leong. „Transportation of programs“. SIMULATION 45, Nr. 4 (Oktober 1985): 190–92. http://dx.doi.org/10.1177/003754978504500405.

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Inoue, Yutaka, Takahiro Tohge und Hitoshi Iba. „Cooperative transportation system for humanoid robots using simulation-based learning“. Applied Soft Computing 7, Nr. 1 (Januar 2007): 115–25. http://dx.doi.org/10.1016/j.asoc.2005.05.001.

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Zhao, Wanying. „Optimal Fixed Route for Multimodal Transportation of Vehicle Logistics in Context of Soft Time Windows“. Scientific Programming 2021 (23.07.2021): 1–7. http://dx.doi.org/10.1155/2021/2657918.

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In order to improve customer satisfaction and reduce the cost of vehicle logistics transportation, this paper adopts the mixed-integer programming model to analyze the delivery routes of vehicle logistics and make simulation and analysis based on the real delivery case. The results show that, compared with a single transportation scheme, the vehicle logistics optimization scheme based on the mixed-integer programming model is able to produce the optimal multimodal transportation plan, which can reduce the transportation costs, improve the service of transportation enterprises, and enhance their core competitiveness.

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Leung, Henry, Nour-Eddin El Faouzi und Ajeesh Kurian. „Intelligent Transportation System (ITS)“. Information Fusion 12, Nr. 1 (Januar 2011): 2–3. http://dx.doi.org/10.1016/j.inffus.2010.06.003.

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Schmidt, G. „A fertilizer transportation problem“. Zeitschrift für Operations Research 30, Nr. 6 (November 1986): B135—B145. http://dx.doi.org/10.1007/bf01918981.

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