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Auswahl der wissenschaftlichen Literatur zum Thema „Timetable planning“
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Zeitschriftenartikel zum Thema "Timetable planning"
Palmqvist, Carl-William, Nils O. E. Olsson und Lena Winslott Hiselius. „The Planners’ Perspective on Train Timetable Errors in Sweden“. Journal of Advanced Transportation 2018 (2018): 1–17. http://dx.doi.org/10.1155/2018/8502819.
Der volle Inhalt der QuelleWalter, Stefan, und Martin Fellendorf. „Long-Term Upgrade Strategy for Light Rail and Regional Rail“. Transportation Research Record: Journal of the Transportation Research Board 2534, Nr. 1 (Januar 2015): 38–47. http://dx.doi.org/10.3141/2534-06.
Der volle Inhalt der QuelleWu, Yinghui, Yifan Zhu und Tianyu Cao. „Mathematical Analysis and an Exact Solution Combined with Preprocessing Method for Resynchronizing of Bus Timetable Problem“. Mathematical Problems in Engineering 2018 (23.09.2018): 1–10. http://dx.doi.org/10.1155/2018/7832638.
Der volle Inhalt der QuelleGiannakopoulou, Kalliopi, Andreas Paraskevopoulos und Christos Zaroliagis. „Multimodal Dynamic Journey-Planning“. Algorithms 12, Nr. 10 (13.10.2019): 213. http://dx.doi.org/10.3390/a12100213.
Der volle Inhalt der QuelleDeris, Safaai, Sigeru Omatu und Hiroshi Ohta. „Timetable planning using the constraint-based reasoning“. Computers & Operations Research 27, Nr. 9 (August 2000): 819–40. http://dx.doi.org/10.1016/s0305-0548(99)00051-9.
Der volle Inhalt der QuelleDERIS, SAFAAI, SIGERU OMATU, HIROSHI OHTA und PATHIAH ABD SAMAT. „Object-oriented constraint logic programming for timetable planning“. International Journal of Systems Science 28, Nr. 10 (Juli 1997): 987–99. http://dx.doi.org/10.1080/00207729708929462.
Der volle Inhalt der QuelleGorbachev, A. M. „Mathematical model of aperiodic timetables of urban electric transport“. Automation on Transport 6, Nr. 4 (Dezember 2020): 499–517. http://dx.doi.org/10.20295/2412-9186-2020-6-4-499-517.
Der volle Inhalt der QuelleWang, Zeyu, Leishan Zhou, Bin Guo, Xing Chen und Hanxiao Zhou. „An Efficient Hybrid Approach for Scheduling the Train Timetable for the Longer Distance High-Speed Railway“. Sustainability 13, Nr. 5 (26.02.2021): 2538. http://dx.doi.org/10.3390/su13052538.
Der volle Inhalt der QuelleMeng, Lingyun, Malik Muneeb Abid, Xinguo Jiang, Afaq Khattak und Muhammad Babar Khan. „Increasing Robustness by Reallocating the Margins in the Timetable“. Journal of Advanced Transportation 2019 (28.07.2019): 1–15. http://dx.doi.org/10.1155/2019/1382394.
Der volle Inhalt der QuelleDongmei LIN, und Jun LIU. „Research on Train Timetable-based Railway Route Planning Problem“. INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences 4, Nr. 14 (15.08.2012): 71–79. http://dx.doi.org/10.4156/aiss.vol4.issue14.9.
Der volle Inhalt der QuelleDissertationen zum Thema "Timetable planning"
Kuchynka, Marek. „Informační systém pro plánování rozvrhů“. Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2021. http://www.nusl.cz/ntk/nusl-445501.
Der volle Inhalt der QuelleAndré, Virginie. „Problème de livraison - collecte dans un environnement hospitalier : méthodes d'optimisation, modèle de simulation et couplages“. Phd thesis, Université Blaise Pascal - Clermont-Ferrand II, 2011. http://tel.archives-ouvertes.fr/tel-00824815.
Der volle Inhalt der QuelleFingerle, Garrett Philip. „Engineering an extensible model for a public transport journey planning system“. Thesis, University of Southampton, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.342762.
Der volle Inhalt der QuelleBrethomé, Lucile. „Modélisation et optimisation d’un plan de transport ferroviaire en zone dense du point de vue des voyageurs“. Thesis, Ecole centrale de Lille, 2018. http://www.theses.fr/2018ECLI0014.
Der volle Inhalt der QuelleThe design of a railway transportation plan is a process achieved between two years and six months before it is put into service. The main phases in the design of a transportation plan are the line planning, the timetabling, the rolling stock and the crew scheduling.The design of the transportation plan can have many consequences on the quality of service: an inadequate frequency in station can cause a loss of passengers, sufficient number of seated places, robustness of the timetable in the face of small incidents... In dense area, as in the Ile-de-France region, all these elements must be taken into account as the transportation plan is designed.Today, SNCF Transilien designs its transportation plans by first taking into account the optimization of production resources (train paths, rolling stock units and drivers). However, today, the increase in resources implemented no longer improves the adequacy of the transportation plan to passengers’ demand. This design method no longer makes it possible to cope with the increase in the demand for mobility (+3% each year since 2000). This is why we must rethink the design of the transport plan by immediately integrating the passenger dimension. Our work focuses on issues of line planning and timetabling in a passenger-oriented approach. First, we present a multi-objective model for line planning. Then, we present a model of timetabling incorporating passenger route choice. Then, we initiate a method to integrate these two models. Finally, we present an evaluation of our results thanks to reliability indicators from the literature and a macroscopic simulation of the timetables
Eranki, Anitha. „A model to create bus timetables to attain maximum synchronization considering waiting times at transfer stops“. [Tampa, Fla.] : University of South Florida, 2004. http://purl.fcla.edu/fcla/etd/SFE0000225.
Der volle Inhalt der QuelleRodrigues, Raildo Barros. „Modelo de programação matemática na elaboração de quadros de horários para cursos de graduação“. Universidade Estadual Paulista (UNESP), 2018. http://hdl.handle.net/11449/157117.
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Esta dissertação trata da construção de um modelo matemático para a elaboração do quadro de horários dos cursos de graduação do CBV/IFRR. A programação de horários é um problema de otimização combinatória estudado há anos pela Pesquisa Operacional e, em termos de complexidade computacional, é tido como NP-Completo, sendo assim, é um problema que exige grande capacidade de processamento. A elaboração do quadro de horários em qualquer instituição de ensino é complexa e demanda tempo para os responsáveis por essa atividade, pois as necessidades dos professores e alunos devem ser atendidas e devem-se evitar conflitos nos horários dos professores. A instituição estudada nesta dissertação assim como outras instituições, possui particularidades institucionais, dessa forma, uma formulação geral do problema acaba não lhe sendo útil. O CBV/IFRR realiza a elaboração dos horários de forma manual, por meio de planilha eletrônica e realização de reuniões entre os gestores, o que torna difícil encontrar uma solução factível. Sendo assim, foi necessária a realização de pesquisa científica para encontrar métodos que poderiam ser aplicados ao problema. Assim, este trabalho teve como objetivo desenvolver um modelo de Programação Matemática que permitisse a elaboração dos horários para cursos de graduação do CBV/IFRR. Utilizou-se entrevistas com as Coordenações de Cursos para obtenção das informações acerca do problema tratado, tais como restrições e prioridades a serem atendidas com a programação de aulas para professores. Estas informações serviram de base para a construção do modelo conceitual, que foi utilizado para elaboração do modelo matemático final, que foi implementado na linguagem de alto nível GAMS® e resolvido pelo solver CPLEX®. Os testes do modelo foram realizados otimizando uma instância com dados reais da instituição estudada. Os resultados obtidos da otimização foram satisfatórios, pois foi possível encontrar uma solução ótima para a instância em tempo computacional adequado, com todas as restrições, impostas pelas características peculiares do problema tratado, sendo respeitadas e as prioridades estabelecidas pelas Coordenações de Cursos atendidas.
This dissertation deals with the construction of a mathematical model for the elaboration of the timetable of the undergraduate courses of the CBV/IFRR. Time scheduling is a combinatorial optimization problem that has been studied for years by Operational Research and, in terms of computational complexity, is considered as NP-Complete, so it is a problem that requires large processing capacity. The elaboration of the timetable in any educational institution is complex and takes time for those responsible for this activity, because the needs of teachers and students must be met and avoid conflicts in the schedules of teachers. The institution studied in this dissertation as well as other institutions, has institutional features, so a general formulation of the problem ends up being of no use to it. The CBV/IFRR performs the elaboration of the schedules manually, through a spreadsheet and holding meetings between managers, which makes it difficult to find a feasible solution. Thus, it was necessary to carry out scientific research to find methods that could be applied to the problem. Thus, this work had the objective of developing a Mathematical Programming model that allowed the elaboration of the schedules for the undergraduate courses of the CBV/IFRR. We used interviews with the Course Coordinators to obtain information about the problem, such as constraints and priorities to be met with the programming of classes for teachers. This information was the basis for the construction of the conceptual model, which was used to elaborate the final mathematical model, which was implemented in the GAMS® high-level language and solved by the CPLEX® solver. The tests of the model were performed optimizing an instance with real data of the studied institution. The results obtained from the optimization were satisfactory, since it was possible to find an optimal solution for the instance in adequate computational time, with all the restrictions imposed by the peculiar characteristics of the problem, being respected and the priorities established by the Coordination of Courses attended.
Sun, Kuo-Hua, und 孫國華. „Signaling Control and Timetable Planning for MRT Systems“. Thesis, 2006. http://ndltd.ncl.edu.tw/handle/14644256289451948201.
Der volle Inhalt der Quelle國立中山大學
電機工程學系研究所
94
Automatic Train Control(ATC) of Signaling System for a Metro Systems comprise Automatic Train Supervision(ATS), Automatic Train Protection(ATP) and Automatic Train Operation(ATO). Based on theAutomatic Train Control(ATC) of Signaling System for a Metro Systems comprise Automatic Train Supervision(ATS), Automatic Train Protection(ATP) and Automatic Train Operation(ATO). Based on the Signaling Control System of Kaohsiung Mass Rapid Transit System(KMRT),the relationship of ATO propulsion power consumption and the run time between stations of train sets under the constraint of Automatic Train Protection(ATP) is investigated. By integrating the ATC function for the planning of timetable, the optimal timetable can be established. ATO solves the speed command for train sets operation by considering the propulsion system, track alignment and the operating timetable to achieve the efficiency of energy consumption by applying the operation modes of Cruising and Coasting to derive the speed profiles of train sets. Because of the correlationship of ATP, ATO and Operation Timetable of train sets, the ATP system is investigated first to ensure the safety of system operation. Based on the constraint of ATP, the energy conservation of train sets with ATO system is simulated. The optimal timetable is then derived by minimizing the objective function, which consists of the costs of train sets, driver’s manpower and the simulated energy consumption. The Genetic Algorithm (GA) is applied to solve the optimal timetable by representing the Run Time Reserve and Loading Factor of train sets as the chromosomes. With the mutation of GA method, the global optimal solution can be obtained without falling into the local optimum. It is concluded that the optimal operation timetable solved by the proposed GA method can enhance the system performance of KMRT systems by reducing the operation cost of train sets.
Jyh-Hwang, Tseng, und 曾志煌. „An Integrated Model for Airline Fleet Routing and Timetable Planning“. Thesis, 2000. http://ndltd.ncl.edu.tw/handle/08518121653086686800.
Der volle Inhalt der Quelle國立中央大學
土木工程研究所
88
Fleet routing and flight scheduling are important in airline operations. In particular, they always affect the usage efficiency of facilities, the establishment of timetables and the crew scheduling. As a result, they are essential to carriers’ profitability, level of service and competitive capability in the market. Most of the airlines in Taiwan currently adopt a trial-and-error process for fleet routing and flight scheduling practices. They iterate the schedule construction and evaluation phases through manual operations. Such an approach is considerd to be less efficient when the flight network become larger, and can possibly result in an inferior feasible solution. Recently, there are research developing mathematic models and solution algorithms to solve the problem through the use of an indispensible medium called “draft timetable.” These mathematic approaches were anticipated to be comparatively more systematic and efficient than the traditional trial-and-error method. Nevertheless, not only “draft timetable” itself involves too much subjective judgement and decision in its constructing process, but also such approaches are incapable of directly and systematically managing the interrelationship between supply and demand. This research therefore developed an integrated model and a solution algorithm to help carriers simultaneously solve for better fleet routes and proper timetables. In order to directly manage the interrelationships between trip demand and flight supply, a time-space network technique was applied to modeling the movements of aircraft and passenger flows. Mathematically, the model was formulated as a special integer multiple commodity network flow problem which was categorized as an NP-hard problem. A Lagrangian relaxation-based algorithm was developed to efficiently solve the problem on the basis of Lagrangian relaxation, the sub-gradient method, the network simplex method, the least cost flow augmenting algorithm and the flow decomposition algorithm. To show how well the model and the solution algorithm could be applied in the real world, a case study regarding the domestic operations of a major Taiwan airline was performed by using the C computer language. The admirable outcome has shown the model’s good performance. Presumably, the results are practically helpful for airlines in Taiwan to improve their operations.
Chen, Yu-Hsuan, und 陳宇軒. „An Integrated Model Combine Passengers and Freight for Airline Fleet Routing and Timetable Planning“. Thesis, 2004. http://ndltd.ncl.edu.tw/handle/67802085238342811033.
Der volle Inhalt der Quelle國立中央大學
土木工程研究所
92
Fleet routing and flight scheduling are important in airline operations. They always affect the usage efficiency of facilities and crew scheduling. Furthermore, they are essential to carriers’ profitability, level of service and competitive capability in the market. Recently, besides passenger flights and cargo flights, some airlines introduced combi flights in their flight scheduling. The combi flights combine passengers and cargos in one flight and can supple passenger flights and cargo flights during a carrier’s regular operation. However, the carriers in Taiwan currently adopt a try-and-error method to determine the schedules of passenger flights, cargo flight and combi flights. The method starts by manually determining the passenger and combi flight schedules together. Based on the passenger and combi flight schedules and the projected cargo demand, the cargo flight schedule is then determined. Thereafter, the combi flight schedule is modified by considering the cargo flight schedule and the passenger flight schedule is revised in accordance with the combi flight schedule. The process is repeated until the final fleet routing and timetables are obtained. Since such a method without systemic analyses cannot effectively manage the interrelationship among the passenger, cargo and combi flight schedules, the performance of the obtained schedules would easily decrease as the system scale is enlarged. As a result, the operating performance could possibly be inferior. Therefore, given the operating data, including fleet size, airport flight quota and available time slots, related flight cost, on the basis of the carrier’s perspective, this research tries to develop a scheduling model by integrating passenger, cargo and combi flight schedules, with the objective of maximizing the operating profit, subject to the related operating constraints. The model is a useful planning tool for airlines to determine a suitable fleet routing and timetables in their short-term operations. We employ network flow techniques to construct the model, which include passenger-flow, cargo-flow and fleet-flow networks in order to formulate the flows of passengers, cargos and fleet in the dimensions of time and space. The model is formulated as an integer multiple commodity network flow problem that is characterized as an NP-hard problem. Since the real problem size is huge, this model is harder to solve than the conventional passenger flight scheduling problems in the past. A Lagrangian relaxation-based algorithm, coupled with a subgradient method, the network simplex method and a heuristic for upper bound solution, is suggested to solve the problem. Finally, to evaluate the model and the solution algorithm, we perform a case study by using the real operating data from a major Taiwan airline.
Brethomé, Lucile Isabelle. „Modélisation et optimisation d’un plan de transport ferroviaire en zone dense du point de vue des voyageurs“. Thesis, 2018. http://www.theses.fr/2018ECLI0014.
Der volle Inhalt der QuelleThe design of a railway transportation plan is a process achieved between two years and six months before it is put into service. The main phases in the design of a transportation plan are the line planning, the timetabling, the rolling stock and the crew scheduling.The design of the transportation plan can have many consequences on the quality of service: an inadequate frequency in station can cause a loss of passengers, sufficient number of seated places, robustness of the timetable in the face of small incidents... In dense area, as in the Ile-de-France region, all these elements must be taken into account as the transportation plan is designed.Today, SNCF Transilien designs its transportation plans by first taking into account the optimization of production resources (train paths, rolling stock units and drivers). However, today, the increase in resources implemented no longer improves the adequacy of the transportation plan to passengers’ demand. This design method no longer makes it possible to cope with the increase in the demand for mobility (+3% each year since 2000). This is why we must rethink the design of the transport plan by immediately integrating the passenger dimension. Our work focuses on issues of line planning and timetabling in a passenger-oriented approach. First, we present a multi-objective model for line planning. Then, we present a model of timetabling incorporating passenger route choice. Then, we initiate a method to integrate these two models. Finally, we present an evaluation of our results thanks to reliability indicators from the literature and a macroscopic simulation of the timetables
Bücher zum Thema "Timetable planning"
International Conference on Computer Aided Design, Manufacture, and Operation in the Railway and Other Advanced Mass Transit Systems, Hrsg. Timetable planning and information quality. Southampton: WIT Press, 2010.
Den vollen Inhalt der Quelle findenBeck, Michael J. Hierarchische Planung eines symmetrischen Taktfahrplans im Schienenpersonenverkehr. Frankfurt am Main: P. Lang, 2007.
Den vollen Inhalt der Quelle findenAirline operations and delay management: Insights from airline economics, networks, and strategic schedule planning. Farnham, Surrey: Ashgate, 2010.
Den vollen Inhalt der Quelle findenOffice, General Accounting. Tax systems modernization: Automated Underreporter project shows need for human resource planning : report to the Chairman, Commerce, Consumer, and Monetary Affairs Subcommittee, Committee on Government Operations, House of Representatives. Washington, D.C: The Office, 1994.
Den vollen Inhalt der Quelle findenOffice, General Accounting. Tax systems modernization: IRS needs to resolve certain issues with its Integrated Case Processing System : report to the chairman, Subcommittee on Oversight, Committee on Ways and Means, House of Representatives. Washington, D.C: The Office, 1997.
Den vollen Inhalt der Quelle findenOffice, General Accounting. Tax systems modernization: Results of review of IRS' initial expenditure plan : report to Congressional Requesters. Washington, D.C. (P.O. Box 37050, Washington, D.C. 20013): The Office, 1999.
Den vollen Inhalt der Quelle findenOffice, General Accounting. Tax systems modernization: Management and technical weaknesses must be corrected if modernization is to succeed : report to the Commissioner of the Internal Revenue Service. Washington, D.C: The Office, 1995.
Den vollen Inhalt der Quelle findenOffice, General Accounting. Tax systems modernization: Imaging system's performance improving but still falls short of expectations : report to the chairman, Subcommittee on Oversight, Committee on Ways and Means, House of Representatives. Washington, D.C: The Office, 1997.
Den vollen Inhalt der Quelle findenOffice, General Accounting. Tax systems modernization: Cyberfile project was poorly planned and managed. Washington, D.C: The Office, 1996.
Den vollen Inhalt der Quelle findenOffice, General Accounting. Tax systems modernization: Results of review of IRS' initial expenditure plan : report to congressional requesters. Washington, D.C. (P.O. Box 37050, Washington, D.C. 20013): The Office, 1999.
Den vollen Inhalt der Quelle findenBuchteile zum Thema "Timetable planning"
McDonald, Christine. „Planning a timetable“. In English Language Project Work, 3–9. London: Macmillan Education UK, 1992. http://dx.doi.org/10.1007/978-1-349-22297-1_2.
Der volle Inhalt der QuelleParra, E. „Timetable Planning in a Courier Network: A Heuristic Resolution Method“. In Lecture Notes in Management and Industrial Engineering, 195–202. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-93488-4_22.
Der volle Inhalt der QuelleOlsder, Geert Jan, und Antoine F. Kort. „Discrete Events: Timetables, Capacity Questions, and Planning Issues for Railway Systems“. In Modeling, Control and Optimization of Complex Systems, 237–60. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-1139-7_10.
Der volle Inhalt der Quelle„Timetable Development“. In Public Transit Planning and Operation, 99–128. CRC Press, 2016. http://dx.doi.org/10.1201/b18689-9.
Der volle Inhalt der Quelle„Timetable Development“. In Public Transit Planning and Operation, 99–136. CRC Press, 2007. http://dx.doi.org/10.1201/b12853-10.
Der volle Inhalt der QuelleBuchmueller, S., U. Weidmann und A. Nash. „Development of a dwell time calculation model for timetable planning“. In Vorticity and Turbulence Effects in Fluid Structure Interactions, 105–14. WIT Press, 2010. http://dx.doi.org/10.2495/978-1-84564-500-7/10.
Der volle Inhalt der QuelleBöhm, Thomas, Christoph Lackhove und Michael Meyer zu Hörste. „Integrated Traffic Management using Data from Traffic, Asset Conditions, Energy and Emissions“. In Advances in Civil and Industrial Engineering, 405–19. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-5225-0084-1.ch017.
Der volle Inhalt der QuelleMartynov, Vitaly Vladimirovich, Peter Sakál, Alexey Skuratov, Elena Ivanovna Filosova, Alena Alekseevna Zaytseva und Elena Shavkatovna Zakieva. „CSRP“. In Advances in Higher Education and Professional Development, 115–25. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-3395-5.ch011.
Der volle Inhalt der QuelleBerbey Alvarez, Aranzazu, und Jessica Guevara-Cedeño. „Railway Engineering“. In Latin American Women and Research Contributions to the IT Field, 371–95. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-7552-9.ch017.
Der volle Inhalt der Quelle„Advanced Timetables: Optimization and Synchronization“. In Public Transit Planning and Operation, 129–82. CRC Press, 2016. http://dx.doi.org/10.1201/b18689-10.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "Timetable planning"
Yang Ting-Hong, Dan Qi, Shen Xiao-Na, Zhao Jing und Xie Li. „The urgency of timetable task in course timetable planning“. In 2010 International Conference on Apperceiving Computing and Intelligence Analysis (ICACIA). IEEE, 2010. http://dx.doi.org/10.1109/icacia.2010.5709883.
Der volle Inhalt der QuelleChen, I.-Chang, Shu-Keng Hsu, Hsiu-Hao Hsu, Chuen-Yih Chen, Dung-Ying Lin, Wei-Hsun Lee und Yusin Lee. „TrainWorld: A Powerful Tool for Railway Timetabling“. In 2013 Joint Rail Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/jrc2013-2478.
Der volle Inhalt der QuelleBešinović, N. „Supporting tools for automated timetable planning“. In COMPRAIL 2014, herausgegeben von E. Quaglietta und R. M. P. Goverde. Southampton, UK: WIT Press, 2014. http://dx.doi.org/10.2495/cr140461.
Der volle Inhalt der QuelleLongo, G., und G. Medeossi. „Enhancing timetable planning with stochastic dwell time modelling“. In COMPRAIL 2012. Southampton, UK: WIT Press, 2012. http://dx.doi.org/10.2495/cr120391.
Der volle Inhalt der QuelleIrene, Ho Sheau Fen, Safaai Deris, Mohd Hashim und Siti Zaiton. „University course timetable planning using hybrid particle swarm optimization“. In the first ACM/SIGEVO Summit. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1543834.1543868.
Der volle Inhalt der QuelleKavaliauskas, Donatas, und Leonidas Sakalauskas. „Conceptual model of productivity bot for smart construction planning“. In The 13th international scientific conference “Modern Building Materials, Structures and Techniques”. Vilnius Gediminas Technical University, 2019. http://dx.doi.org/10.3846/mbmst.2019.003.
Der volle Inhalt der QuelleBuchmueller, S., U. Weidmann und A. Nash. „Development of a dwell time calculation model for timetable planning“. In COMPRAIL 2008. Southampton, UK: WIT Press, 2008. http://dx.doi.org/10.2495/cr080511.
Der volle Inhalt der QuelleBAKAR, ABU, und NAJLAA ATEEQ. „The importance of information Sharing automation for university Timetable planning“. In Second International Conference on Advances in Information Processing and Communication Technology - IPCT 2015. Institute of Research Engineers and Doctors, 2015. http://dx.doi.org/10.15224/978-1-63248-044-6-15.
Der volle Inhalt der QuelleLi Zeng, Xue-Bo Chen, Wangbao Xu und Xiaoying Su. „Bird Occupancy Model and Algorithm for Timetable Planning Based on Swarm Intelligence“. In 2006 6th World Congress on Intelligent Control and Automation. IEEE, 2006. http://dx.doi.org/10.1109/wcica.2006.1712830.
Der volle Inhalt der QuelleChen, I.-Chang, Shu-Keng Hsu, Teh-Juan Wu, Li-Hsien Yen, Yusin Lee, Dung-Ying Lin, Chuen-Yih Chen, Wei-Hsun Lee und Guo-Wei Su. „RDSP: A Railway Decision Support Platform for Integrating and Bridging Existed Legacy Systems“. In 2013 Joint Rail Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/jrc2013-2442.
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