Auswahl der wissenschaftlichen Literatur zum Thema „Transportation software“

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Zeitschriftenartikel zum Thema "Transportation software"

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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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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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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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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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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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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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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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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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Dissertationen zum Thema "Transportation software"

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Watford, Bevlee A. „Simulation software for bulk material transportation system's analysis“. Diss., This resource online, 1985. http://scholar.lib.vt.edu/theses/available/etd-03022010-020350/.

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POMPERMAYER, FABIANO MEZADRE. „A SOFTWARE FOR THE MULTIMODAL MULTIPRODUCT FLOW ASSIGNMENTIN FREIGHT TRANSPORTATION“. PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 1997. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=1731@1.

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COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR
Esta dissertação de mestrado apresenta o desenvolvimento de um sistema computacional para fazer a alocação de fluxos de transporte de carga multiproduto em uma rede multimodal. Este sistema tem o objetivo de servir como uma ferramenta no planejamento estratégico de transporte. O software foi concebido inicialmente para trabalhar com o ótimo do sistema, minimizando o custo total de transporte na rede. Uma adaptação é sugerida, para que seja possível trabalhar também com o ótimo do usuário, minimizando as rotas individuais dos usuários da rede de transporte. Para fazer a alocação de fluxos multiproduto em uma rede multimodal o software utiliza o algoritmo de Frank-Wolfe que resolve o problema multimodal multiproduto.
This dissertation presents the development of a computer system, wich performs the assignment of multicommodity freight transportation flows on a multimodal network. This systems should be used as a tool in strategic transportation planning. Initially the software the has been conceived to search for the system`s optimum, by minimizing the total transportation cost in the network. The Dissertation proposes an adaptation to make possible for the system to calculate the user`s optimum, by minimizing the costs of the individual paths of the transportation network users. To Implement the multicommodity flow assignment on the multimodal network, the software makes use of na adaptation of the Frank and Wolfe algorithm to solve the multimodal, multicommodity problem.
En desarrollo
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Udupi, Gopalakrishna. „Design and development of a software module for minimizing transportation costs“. [Denver, Colo.] : Regis University, 2006. http://165.236.235.140/lib/GUdupi2006.pdf.

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Holmgren, Johan. „Multi-Agent-Based Simulation and Optimization of Production and Transportation“. Licentiate thesis, Karlskrona : Department of Systems and Software Engineering, School of Engineering, Blekinge Institute of Technology, 2008. http://www.bth.se/fou/Forskinfo.nsf/allfirst2/ad0853385e94b7c4c12574650031cd12?OpenDocument.

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Gill, Kuldeep S. „Cognitive Radio Connectivity for Railway Transportation Networks“. Digital WPI, 2018. https://digitalcommons.wpi.edu/etd-theses/129.

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Reliable wireless networks for high speed trains require a significant amount of data communications for enabling safety features such as train collision avoidance and railway management. Cognitive radio integrates heterogeneous wireless networks that will be deployed in order to achieve intelligent communications in future railway systems. One of the primary technical challenges in achieving reliable communications for railways is the handling of high mobility environments involving trains, which includes significant Doppler shifts in the transmission as well as severe fading scenarios that makes it difficult to estimate wireless spectrum utilization. This thesis has two primary contributions: (1) The creation of a Heterogeneous Cooperative Spectrum Sensing (CSS) prototype system, and (2) the derivation of a Long Term Evolution for Railways (LTE-R) system performance analysis. The Heterogeneous CSS prototype system was implemented using Software-Defined Radios (SDRs) possessing different radio configurations. Both soft and hard-data fusion schemes were used in order to compare the signal source detection performance in real-time fading scenarios. For future smart railways, one proposed solution for enabling greater connectivity is to access underutilized spectrum as a secondary user via the dynamic spectrum access (DSA) paradigm. Since it will be challenging to obtain an accurate estimate of incumbent users via a single-sensor system within a real-world fading environment, the proposed cooperative spectrum sensing approach is employed instead since it can mitigate the effects of multipath and shadowing by utilizing the spatial and temporal diversity of a multiple radio network. Regarding the LTE-R contribution of this thesis, the performance analysis of high speed trains (HSTs) in tunnel environments would provide valuable insights with respect to the smart railway systems operating in high mobility scenarios in drastically impaired channels.
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Jaderný, Petr. „Software pro malou spediční firmu“. Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2009. http://www.nusl.cz/ntk/nusl-228722.

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This thesis describes the program solution of work with information for a small spedition company. It means the common registration of documents, contacts and other information about companies with which do the spedition company business. Further forms and information generating, which are needed for common accounting operations. Finally making of the back-up files.
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Demir, Emrah, Martin Hrusovsky, Werner Jammernegg und Woensel Tom Van. „Green intermodal freight transportation: bi-objective modelling and analysis“. Taylor & Francis, 2019. http://epub.wu.ac.at/6990/1/00207543.2019.pdf.

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Efficient planning of freight transportation requires a comprehensive look at wide range of factors in the operation and man- agement of any transportation mode to achieve safe, fast, and environmentally suitable movement of goods. In this regard, a combination of transportation modes offers flexible and environmentally friendly alternatives to transport high volumes of goods over long distances. In order to reflect the advantages of each transportation mode, it is the challenge to develop models and algorithms in Transport Management System software packages. This paper discusses the principles of green logistics required in designing such models and algorithms which truly represent multiple modes and their characteristics. Thus, this research provides a unique practical contribution to green logistics literature by advancing our understanding of the multi-objective planning in intermodal freight transportation. Analysis based on a case study from hinterland intermodal transportation in Europe is therefore intended to make contributions to the literature about the potential benefits from com bining economic and environmental criteria in transportation planning. An insight derived from the experiments conducted shows that there is no need to greatly compromise on transportation costs in order to achieve a significant reduction in carbon-related emissions.
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Molstad, Phillip James. „TripLogic : a demand-response dispatching system /“. Connect to title online, 2007. http://minds.wisconsin.edu/handle/1793/34212.

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Kolb, William Edward 1960. „MICROCOMPUTER BASED AUTOMATIC TRUCK DISPATCHING - SYSTEM MODELING AND SIMULATION (MINING, SOFTWARE, ALGORITHM, OPEN-PIT)“. Thesis, The University of Arizona, 1986. http://hdl.handle.net/10150/292092.

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Mudgade, Sudha. „Travel demand forecast for an urban network using the System II Regional Information System and Subarea Analysis Software“. Master's thesis, This resource online, 1991. http://scholar.lib.vt.edu/theses/available/etd-02162010-020052/.

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Bücher zum Thema "Transportation software"

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Wadhwa, Lal C. Transportation software in Australia: A sourcebook. Townsville, Qld., Australia: James Cook University of North Queensland, 1987.

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Idaho. Office of Performance Evaluations. Use of bus routing software in Idaho school districts. Boise, Idaho (P.O. Box 83720, Boise 83720-0055): The Office, 1996.

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Heureka, '96 (1996 Karlsruhe Germany). Optimierung in Verkehr und Transport: Vortragsveranstaltung mit Vorstellung von Hard- und Software : Tagungsbericht. Köln: Forschungsgesellschaft für Strassen- und Verkehrswesen, 1996.

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Li, Weigang. Computational models, software engineering, and advanced technologies in air transportation: Next generation applications. Hershey, PA: Engineering Science Reference, 2010.

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National Research Council (U.S.). Transportation Research Board, National Cooperative Freight Research Program und United States. Dept. of Transportation. Research and Innovative Technology Administration, Hrsg. Guidance for developing a freight transportation data architecture. Washington, D.C: Transportation Research Board, 2011.

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United States. Congress. Senate. Committee on Commerce, Science, and Transportation. Government Paperwork Elimination Act: Report of the Committee on Commerce, Science, and Transportation on S. 2107. Washington: U.S. G.P.O., 1998.

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Cugalj, Slavenko. Application of the Chinese postman problem model to the Toronto transportation network within GIS-based software. Ottawa: National Library of Canada, 2001.

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Associates, J. J. Keller &. Keller-Soft DOT hazmat compliance. 7. Aufl. [Neenah, Wis.]: J.J. Keller, 2000.

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United States. Congress. Senate. Committee on Commerce, Science, and Transportation. Competitiveness of the U.S. software industry: Hearing before the Committee on Commerce, Science, and Transportation, United States Senate, One Hundred Second Congress, first session, November 13, 1991. Washington: U.S. G.P.O., 1992.

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United States. Congress. House. Committee on Science, Space, and Technology. Subcommittee on Technology and Competitiveness. Markup of bills H.R. 191 & H.R. 2941: Markup sessions before the Subcommittee on Technology and Competitiveness and the full Committee on Science, Space, and Technology, U.S. House of Representatives, One Hundred Second Congress, first session, November 7, 22, 1991. Washington: U.S. G.P.O., 1992.

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Buchteile zum Thema "Transportation software"

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Creutz, Lars, Sam Kopp, Jens Schneider, Matthias Dziubany, Yannick Becker und Guido Dartmann. „Simulation Platforms for Autonomous Driving and Smart Mobility: Simulation Platforms, Concepts, Software, APIs“. In Smart Transportation, 151–82. Boca Raton: CRC Press, 2021. http://dx.doi.org/10.1201/9780367808150-8.

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Lukkien, Johan. „Introduction to Cooperative Intelligent Transportation Systems“. In Automotive Systems and Software Engineering, 257–63. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-12157-0_11.

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Wieker, Horst, Jonas Vogt und Manuel Fuenfrocken. „Intelligent Transportation System Infrastructure and Software Challenges“. In Automotive Systems and Software Engineering, 295–319. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-12157-0_14.

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Kachroo, Pushkin, und Kaan Ozbay. „Simulation Software for Distributed Model“. In Feedback Ramp Metering in Intelligent Transportation Systems, 93–125. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4419-8961-1_4.

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Miller, Eric J. „Transportation Modeling“. In Urban Informatics, 911–31. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8983-6_47.

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AbstractInformatics are rapidly and radically transforming urban transportation in ways not seen since the introduction of the automobile over a hundred years ago. Near-ubiquitous smartphone usage, pervasive cellular and Wi-Fi connectivity, powerful and cost-effective computing capabilities, advanced GIS software and databases, advanced platforms for managing and scheduling service operations, etc., are combining to enable the introduction of new mobility services and technologies that are increasingly disrupting conventional trip-making behavior and the “rules of the game” in terms of transportation network operations and the regulation of system performance. The implications of these major informatics-driven changes for transportation modeling are equally disruptive and major. These include changes in: travel behavior; transportation system performance; the data available for model development and application; and modeling methods. Each of these broad areas of impact are discussed in this chapter.
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Heikkinen, Esa, und Timo D. Hämäläinen. „Log File Analyzing in Intelligent Transportation Systems Development“. In Product-Focused Software Process Improvement, 550–59. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-49094-6_40.

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Parra, E. „A Software for Production-Transportation Optimization Models Building“. In AIRO Springer Series, 407–14. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00473-6_43.

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Cankaya, Hakki C. „Software Defined Networking and Virtualization for Smart Grid“. In Transportation and Power Grid in Smart Cities, 171–90. Chichester, UK: John Wiley & Sons, Ltd, 2018. http://dx.doi.org/10.1002/9781119360124.ch6.

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Boucké, Nelis, Danny Weyns, Kurt Schelfthout und Tom Holvoet. „Applying the ATAM to an Architecture for Decentralized Control of a Transportation System“. In Quality of Software Architectures, 180–98. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11921998_16.

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Tueno Fotso, Steve Jeffrey, Régine Laleau, Marc Frappier, Amel Mammar, Francois Thibodeau und Mama Nsangou Mouchili. „Assessment of a Formal Requirements Modeling Approach on a Transportation System“. In Formal Methods and Software Engineering, 470–86. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32409-4_29.

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Konferenzberichte zum Thema "Transportation software"

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Michael, James B., Andrew C. Segal und Satyajit Patwardhan. „Validation of Software Testing Results for Real-Time Vehicle Control Software“. In Future Transportation Technology Conference & Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1995. http://dx.doi.org/10.4271/951927.

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Yubin, Wang,. „Road Network Representation Software Generator“. In Control in Transportation Systems, herausgegeben von Chassiakos, Anastasios, chair De Schutter, und Ioannou, Petros. Elsevier, 2009. http://dx.doi.org/10.3182/20090902-3-us-2007.00030.

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Wang, Chixin. „Pedestrian Evacuation Simulation Software“. In 14th COTA International Conference of Transportation Professionals. Reston, VA: American Society of Civil Engineers, 2014. http://dx.doi.org/10.1061/9780784413623.241.

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Baker, Frank J. „Software Design Considerations for a Personal Maglev Transportation System“. In Future Transportation Technology Conference & Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1992. http://dx.doi.org/10.4271/921585.

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Lee, Moonkun, und Jungrhan Choi. „A Calculus for Transportation Systems“. In 2014 IEEE 38th International Computer Software and Applications Conference Workshops (COMPSACW). IEEE, 2014. http://dx.doi.org/10.1109/compsacw.2014.122.

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Fong, Sim Liew, Amir Ariff Azham bin Abu Bakar, Falah Y. H. Ahmed und Arshad Jamal. „Smart Transportation System Using RFID“. In ICSCA '19: 2019 8th International Conference on Software and Computer Applications. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3316615.3316719.

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Xu, Qin, Lei Zhang, Jinyang Hao und Dongxiu Ou. „Temporal Model for Transportation Management“. In 2021 IEEE International Conference on Information Communication and Software Engineering (ICICSE). IEEE, 2021. http://dx.doi.org/10.1109/icicse52190.2021.9404090.

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Kozievitch, Nádia P., Tatiana M. C. Gadda, Keiko V. O. Fonseca, Marcelo O. Rosa, Luiz C. Gomes Jr. und Monika Abkar. „Exploratory Analysis of Public Transportation Data in Curitiba“. In XLIII Seminário Integrado de Software e Hardware. Sociedade Brasileira de Computação - SBC, 2020. http://dx.doi.org/10.5753/semish.2016.9516.

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Smart transportation systems have been providing more data over time (such as bus routes, users, smartphones, etc.). Such data provides a number of opportunities to identify various facets of user behavior and traffic trends. In this paper we address some of the urban mobility challenges (already discussed by the Brazilian Computer Society), from a number of different perspectives, including (i) pattern discovery, (ii) statistical analysis, (iii) data integration, and (iv) open and connected data. In particular, we present an exploratory data analysis with GIS for public transportation toward a case study in Curitiba, Brazil.
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Pradhan, Ahana, und Rushikesh K. Joshi. „Token transportation in Petri net models of workflow patterns“. In the 7th India Software Engineering Conference. New York, New York, USA: ACM Press, 2014. http://dx.doi.org/10.1145/2590748.2590765.

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Portugal, Ivens, Paulo Alencar und Donald Cowan. „A Software Framework for Cluster Lifecycle Analysis in Transportation“. In 2018 IEEE International Conference on Big Data (Big Data). IEEE, 2018. http://dx.doi.org/10.1109/bigdata.2018.8622576.

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Berichte der Organisationen zum Thema "Transportation software"

1

KELLY, SUZANNE M., JOHN W. MYRE, MARK H. PRICE, ERIC D. RUSSELL und DAN W. SCOTT. A Configurable, Object-Oriented, Transportation System Software Framework. Office of Scientific and Technical Information (OSTI), August 2000. http://dx.doi.org/10.2172/759368.

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2

King, D. A. Radioisotope thermoelectric generator transportation system subsystem 143 software development plan. Office of Scientific and Technical Information (OSTI), November 1994. http://dx.doi.org/10.2172/6745005.

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3

Weidert, R. S. ,. Westinghouse Hanford. Automated transportation management system (ATMS) software project management plan (SPMP). Office of Scientific and Technical Information (OSTI), Mai 1996. http://dx.doi.org/10.2172/657994.

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4

King, D. A. Radioisotope thermoelectric generator transportation system subsystem 143 software development plan. Office of Scientific and Technical Information (OSTI), November 1994. http://dx.doi.org/10.2172/10113365.

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5

Weidert, R. S. Automated Transportation Management System (ATMS) Software Project Management Plan (SPMP). Revision 2. Office of Scientific and Technical Information (OSTI), Mai 1995. http://dx.doi.org/10.2172/90414.

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6

Hsueh, Gary, David Czerwinski, Cristian Poliziani, Terris Becker, Alexandre Hughes, Peter Chen und Melissa Benn. Using BEAM Software to Simulate the Introduction of On-Demand, Automated, and Electric Shuttles for Last Mile Connectivity in Santa Clara County. Mineta Transportation Institute, Januar 2021. http://dx.doi.org/10.31979/mti.2021.1822.

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Despite growing interest in low-speed automated shuttles, pilot deployments have only just begun in a few places in the U.S., and there is a lack of studies that estimate the impacts of a widespread deployment of automated shuttles designed to supplement existing transit networks. This project estimated the potential impacts of automated shuttles based on a deployment scenario generated for a sample geographic area: Santa Clara County, California. The project identified sample deployment markets within Santa Clara County using a GIS screening exercise; tested the mode share changes of an automated shuttle deployment scenario using BEAM, an open-source beta software developed at the Lawrence Berkeley National Laboratory to run traffic simulations with MATSim; elaborated the model outputs within the R environment; and then estimated the related impacts. The main findings have been that the BEAM software, despite still being in its beta version, was able to model a scenario with the automated shuttle service: this report illustrates the potential of the software and the lessons learned. Regarding transportation aspects, the model estimated automated shuttle use throughout the county, with a higher rate of use in the downtown San José area. The shuttles would be preferred mainly by people who had been using gasoline-powered ride hail vehicles for A-to-B trips or going to the bus stop, as well as walking trips and a few car trips directed to public transport stops. As a result, the shuttles contributed to a small decrease in emissions of air pollutants, provided a competitive solution for short trips, and increased the overall use of the public transport system. The shuttles also presented a solution for short night trips—mainly between midnight and 2 am—when there are not many options for moving between points A and B. The conclusion is that the automated shuttle service is a good solution in certain contexts and can increase public transit ridership overall.
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Kodupuganti, Swapneel R., Sonu Mathew und Srinivas S. Pulugurtha. Modeling Operational Performance of Urban Roads with Heterogeneous Traffic Conditions. Mineta Transportation Institute, Januar 2021. http://dx.doi.org/10.31979/mti.2021.1802.

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The rapid growth in population and related demand for travel during the past few decades has had a catalytic effect on traffic congestion, air quality, and safety in many urban areas. Transportation managers and planners have planned for new facilities to cater to the needs of users of alternative modes of transportation (e.g., public transportation, walking, and bicycling) over the next decade. However, there are no widely accepted methods, nor there is enough evidence to justify whether such plans are instrumental in improving mobility of the transportation system. Therefore, this project researches the operational performance of urban roads with heterogeneous traffic conditions to improve the mobility and reliability of people and goods. A 4-mile stretch of the Blue Line light rail transit (LRT) extension, which connects Old Concord Rd and the University of North Carolina at Charlotte’s main campus on N Tryon St in Charlotte, North Carolina, was considered for travel time reliability analysis. The influence of crosswalks, sidewalks, trails, greenways, on-street bicycle lanes, bus/LRT routes and stops/stations, and street network characteristics on travel time reliability were comprehensively considered from a multimodal perspective. Likewise, a 2.5-mile-long section of the Blue Line LRT extension, which connects University City Blvd and Mallard Creek Church Rd on N Tryon St in Charlotte, North Carolina, was considered for simulation-based operational analysis. Vissim traffic simulation software was used to compute and compare delay, queue length, and maximum queue length at nine intersections to evaluate the influence of vehicles, LRT, pedestrians, and bicyclists, individually and/or combined. The statistical significance of variations in travel time reliability were particularly less in the case of links on N Tryon St with the Blue Line LRT extension. However, a decrease in travel time reliability on some links was observed on the parallel route (I-85) and cross-streets. While a decrease in vehicle delay on northbound and southbound approaches of N Tryon St was observed in most cases after the LRT is in operation, the cross-streets of N Tryon St incurred a relatively higher increase in delay after the LRT is in operation. The current pedestrian and bicycling activity levels seemed insignificant to have an influence on vehicle delay at intersections. The methodological approaches from this research can be used to assess the performance of a transportation facility and identify remedial solutions from a multimodal perspective.
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Petrie, John, Yan Qi, Mark Cornwell, Md Al Adib Sarker, Pranesh Biswas, Sen Du und Xianming Shi. Design of Living Barriers to Reduce the Impacts of Snowdrifts on Illinois Freeways. Illinois Center for Transportation, November 2020. http://dx.doi.org/10.36501/0197-9191/20-019.

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Blowing snow accounts for a large part of Illinois Department of Transportation’s total winter maintenance expenditures. This project aims to develop recommendations on the design and placement of living snow fences (LSFs) to minimize snowdrift on Illinois highways. The research team examined historical IDOT data for resource expenditures, conducted a literature review and survey of northern agencies, developed and validated a numerical model, field tested selected LSFs, and used a model to assist LSF design. Field testing revealed that the proper snow fence setback distance should consider the local prevailing winter weather conditions, and snow fences within the right-of-way could still be beneficial to agencies. A series of numerical simulations of flow around porous fences were performed using Flow-3D, a computational fluid dynamics software. The results of the simulations of the validated model were employed to develop design guidelines for siting LSFs on flat terrain and for those with mild slopes (< 15° from horizontal). Guidance is provided for determining fence setback, wind characteristics, fence orientation, as well as fence height and porosity. Fences comprised of multiple rows are also addressed. For sites with embankments with steeper slopes, guidelines are provided that include a fence at the base and one or more fence on the embankment. The design procedure can use the available right-of-way at a site to determine the appropriate fence characteristics (e.g., height and porosity) to prevent snow deposition on the road. The procedure developed in this work provides an alternative that uses available setback to design the fence. This approach does not consider snow transport over an entire season and may be less effective in years with several large snowfall events, very large single events, or a sequence of small events with little snowmelt in between. However, this procedure is expected to be effective for more frequent snowfall events such as those that occurred over the field-monitoring period. Recommendations were made to facilitate the implementation of research results by IDOT. The recommendations include a proposed process flow for establishing LSFs for Illinois highways, LSF siting and design guidelines (along with a list of suitable plant species for LSFs), as well as other implementation considerations and identified research needs.
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