Literatura académica sobre el tema "Traffic Engineering Division"
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Artículos de revistas sobre el tema "Traffic Engineering Division"
B, Suresh. "Analyzing Unorganized Data: A Study on Internet Traffic Using Informatica". International Journal for Research in Applied Science and Engineering Technology 11, n.º 5 (31 de mayo de 2023): 3831–36. http://dx.doi.org/10.22214/ijraset.2023.52475.
Texto completoTwardosz, Ewa, Katarzyna Zacharuk y Damian Wojda. "Engineering problems of traffic safety devices". Inżynieria i Budownictwo LXXIX, n.º 11-12 (15 de diciembre de 2023): 662–67. http://dx.doi.org/10.5604/01.3001.0054.1387.
Texto completoGao, Yueer y Yanqing Liao. "Urban Tourism Traffic Analysis Zone Division Based on Floating Car Data". Promet - Traffic&Transportation 35, n.º 3 (28 de junio de 2023): 395–406. http://dx.doi.org/10.7307/ptt.v35i3.104.
Texto completoWang, Hongyong, Xiaohao Xu y Yifei Zhao. "Empirical analysis of aircraft clusters in air traffic situation networks". Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 231, n.º 9 (25 de julio de 2016): 1718–31. http://dx.doi.org/10.1177/0954410016660870.
Texto completoLiang, Zijun, Xuejuan Zhan, Wei Kong y Yun Xiao. "Space-Time Resource Integrated Optimization Method for Time-of-Day Division at Intersection Based on Multidimensional Traffic Flows". Journal of Advanced Transportation 2023 (6 de febrero de 2023): 1–18. http://dx.doi.org/10.1155/2023/1512346.
Texto completoTian, Xiujuan, Chunyan Liang y Tianjun Feng. "Dynamic Control Subarea Division Based on Node Importance Evaluating". Mathematical Problems in Engineering 2021 (18 de agosto de 2021): 1–11. http://dx.doi.org/10.1155/2021/9923514.
Texto completoLan, Huihui y Xianyu Wu. "Research on Key Technology of Signal Control Subarea Partition Based on Correlation Degree Analysis". Mathematical Problems in Engineering 2020 (16 de marzo de 2020): 1–12. http://dx.doi.org/10.1155/2020/1879503.
Texto completoZhang, Ning. "Control and Operation to Hybrid Optical Network". Advanced Materials Research 186 (enero de 2011): 576–80. http://dx.doi.org/10.4028/www.scientific.net/amr.186.576.
Texto completoAkiyama, Minoru, Yoshiaki Tanaka, Julio Seguel y Hideaki Fukushima. "Traffic analysis of TSTST time division speech paths". Electronics and Communications in Japan (Part I: Communications) 70, n.º 2 (1987): 77–84. http://dx.doi.org/10.1002/ecja.4410700209.
Texto completoHOLLÓ, Péter. "DIVISION OF ROAD SAFETY AND TRAFFIC ENGINEERING, INSTITUTE FOR TRANSPORT SCIENCES LTD. (KTI)". IATSS Research 26, n.º 2 (2002): 122–25. http://dx.doi.org/10.1016/s0386-1112(14)60053-4.
Texto completoTesis sobre el tema "Traffic Engineering Division"
Dickinson, Melody J. y Jillian Leifer. "Incorporating traffic patterns to improve delivery performance". Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/60834.
Texto completoCataloged from student submitted PDF version of thesis.
Includes bibliographical references (p. 63-64).
Traffic, construction and other road hazards impact the on-time performance of companies that operate delivery fleets. This study examines how incorporating traffic patterns in vehicle route development compares with standard, deterministic methods. We seek to understand how using historical data improves both planning and overall delivery efficiency. Our analysis contrasts manifests that were developed by an industry standard routing software tool with projections that use traffic data by benchmarking them against actual routes run by drivers. In addition to evaluating the differences between route planning tools, we explore why those differences exist, including how uncertainty is incorporated. Evidence suggests that incorporating traffic patterns into vehicle routing does produce improved solutions. Needless to say, the delivery process needs to be evaluated holistically. Our recommendations involve the various steps for creating and executing a route. Operational considerations, the potential for improving customer service, and areas for further exploration are discussed. This thesis is being conducted with sponsorship from a leading consumer products company and in coordination with the CarTel mobile sensing data project at Massachusetts Institute of Technology (MIT).
by Melody J. Dickinson and Jillian Leifer.
M.Eng.in Logistics
Jacquillat, Alexandre. "Integrated allocation and utilization of airport capacity to mitigate air traffic congestion". Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/99331.
Texto completoCataloged from PDF version of thesis.
Includes bibliographical references (pages 219-227).
The combination of air traffic growth and airport capacity limitations has resulted in significant congestion throughout the US National Airspace System, which imposes large costs on the airlines, passengers and society. Absent opportunities for capacity expansion, the mitigation of air traffic congestion requires improvements in (i) the utilization of airport capacity to enhance operating efficiency at the tactical level (i.e., over each day of operations), and/or (ii) the allocation of airport capacity to the airlines to limit over-capacity scheduling at the strategic level (i.e., months in advance of the day of operations). This thesis develops an integrated approach to airport congestion mitigation that jointly optimizes the utilization of airport capacity and the design of airport capacity allocation mechanisms. First, we focus on airport capacity utilization. We formulate an original Dynamic Programming model that optimizes, at the tactical level, the selection of runway configurations and the balancing of arrival and departure service rates to minimize congestion costs, for any given schedule of flights. The model integrates the stochasticity of airport operations into a dynamic decision-making framework. We implement exact and approximate Dynamic Programming algorithms that, in combination, enable the real-time implementation of the model. Results show that optimal policies are path-dependent, i.e., depend on prior decisions and on the stochastic evolution of the system, and that the model can reduce congestion costs, compared to advanced heuristics aimed to replicate typical decisions made in practice and to existing approaches based on deterministic queue dynamics. Second, we integrate the model of airport capacity utilization into a macroscopic queuing model of airport congestion. The resulting model quantifies the relationships between flight schedules, airport capacity and flight delays at the strategic level, while accounting for the way airport capacity utilization procedures can vary tactically to maximize operating efficiency. Results suggest that the model estimates the average departure queue lengths, the variability of departure queue lengths and the average arrival and departure delays at the three major airports in the New York Metroplex relatively well. The application of the model shows that the strong nonlinearities between flight schedules and flight delays observed in practice are captured by the model. Third, we develop an Integrated Capacity Utilization and Scheduling Model (ICUSM) that jointly optimizes scheduling interventions for airport capacity allocation at the strategic level and airport capacity utilization at the tactical level. Scheduling interventions start with a schedule of flights provided by the airlines, and reschedule a selected set of flights to reduce imbalances between demand and capacity, while minimizing interference with airline competitive scheduling. The ICUSM optimizes such interventions, while accounting for the impact of changes in flight schedules on airport operations. It relies on an original modeling architecture that integrates a Stochastic Queuing Model of airport congestion, our Dynamic Programming model of capacity utilization, and an Integer Programming model of scheduling interventions. We develop an iterative solution algorithm that converges in reasonable computational times. Results suggest that substantial delay reductions can be achieved at busy airports through limited changes in airline schedules. It is also shown that the proposed integrated approach to airport congestion mitigation performs significantly better than a typical sequential approach where scheduling and operating decisions are made separately. Last, we build upon the ICUSM to design, optimize and assess non-monetary mechanisms for scheduling interventions that ensure inter-airline equity and enable airline collaboration. Under the proposed mechanism, the airlines would provide their preferred schedules of flights, their network connections, and the relative scheduling flexibility of their flights to a central decision-maker, who may then consider scheduling adjustments to reduce anticipated delays. We develop a lexicographic architecture that optimizes such interventions based on efficiency (i.e., meeting airline scheduling preferences), equity (i.e., balancing scheduling adjustments fairly among the airlines), and on-time performance (i.e., mitigating airport congestion) objectives. Theoretical and computational results suggest that inter-airline equity can be achieved at no, or small, losses in efficiency, and that accounting for airline scheduling preferences can significantly improve the outcome of scheduling interventions.
by Alexandre Jacquillat.
Ph. D.
Deckert, Thomas. "Orthogonal frequency division multiplexing based medium access under rate constraints". Dresden Vogt, 2007. http://deposit.d-nb.de/cgi-bin/dokserv?id=3002150&prov=M&dok_var=1&dok_ext=htm.
Texto completoΒαρδάκας, Ιωάννης. "Αποτίμηση της απόδοσης τηλεπικοινωνιακών δικτύων πολυδιάστατης κίνησης με έμφαση στα οπτικά δίκτυα". Thesis, 2012. http://hdl.handle.net/10889/5492.
Texto completoIn this PhD dissertation multi-rate models are examined for the performance analysis of telecommunication networks through mathematical analysis and simulation. Particular emphasis is given to optical networks. The main goal is the development of analytical models for the calculation of network performance metrics, such as blocking probabilities, transmission delay and utilization of the common channel. The proposed analytical models are distinguished according to the network technologies. Three different technologies are considered: A) Wavelength routed optical networks. B) Optical access networks. C) Wireless Internet access networks. Multi-rate loss models are proposed for the performance evaluation of wavelength routed optical networks. Firstly, the case of a single link is considered and then a mesh all-optical network is examined. In addition, analytical models are proposed for Optical Packet Switching (OPS) networks, for the case of an all-optical OPS switch and of an OPS mesh network. Multi-rate analytical models are proposed for the evaluation of the performance of Passive Optical Networks (PONs) implementing different multiple access methods. For the case of Time Division Multiple Access (TDMA) the Ethernet PON is studied, which supports multiple service-classes. Regarding the Wavelength Division Multiplexing (WDM) PONs a hybrid WDM-TDMA PON is considered and the call-level performance is evaluated. Calls are distinguished by their arrival process, which can be random or quasi random, by their bandwidth requirements, which can be fixed of elastic and by their behavior during their service, which can be calls of fixed transmission rate or calls that alternate between ON and OFF periods. Finally multi-rate loss models are proposed for the case of Optical Code Division Multiple Access (OCDMA) PONs that take into account the user activity and the presence of additive noise in the transmission channel. For the performance analysis of wireless Internet access networks analytical models are proposed, which implement the IEEE 802.11 protocol or the IEEE 802.11e protocol. The proposed analysis calculated the saturation throughput and the end-to-end packet delay as a function of the Medium Access Control (MAC) delay and the queueing delay. In all cases the accuracy of the proposed models is validated through simulation.
Libros sobre el tema "Traffic Engineering Division"
Baldridge, John. 2006 MDT Engineering Division consumer satisfaction survey. Helena, Mont: MDT Engineering Division, 2004.
Buscar texto completoMontana. Dept. of Transportation. 2004 MDT Engineering Division consumer satisfaction survey. Helena, Mont: MDT Engineering Division, 2004.
Buscar texto completoSomani, Arun K. Survivability and traffic grooming in WDM optical networks. Cambridge: Cambridge University Press, 2005.
Buscar texto completoCapítulos de libros sobre el tema "Traffic Engineering Division"
Guo, Yirong, Baotian Dong y Lei Wu. "The Research on the Method of Traffic Area Dynamic Division and Optimization". En Lecture Notes in Electrical Engineering, 53–61. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38466-0_7.
Texto completoXiu, Weijie y Li Wang. "Traffic State Division of Typical Two-Phase Intersection Based on Informational Split Analysis". En Lecture Notes in Electrical Engineering, 435–46. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5959-4_54.
Texto completoZhao, Juan y Xiaolong Xu. "Wireless Information and Power Transmission for Two-Directional Traffic in Spatial-Division Multiple Access Networks". En Lecture Notes in Electrical Engineering, 412–19. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6264-4_50.
Texto completoJiang, Haiyan y Ziming Jin. "Multi-Directional Traffic Flow Fusion Analysis and Modelling for Urban Road Networks Serving Intelligent Transportation Systems". En Advances in Transdisciplinary Engineering. IOS Press, 2024. http://dx.doi.org/10.3233/atde240372.
Texto completoActas de conferencias sobre el tema "Traffic Engineering Division"
Guo, Jingjing, Qipeng Xiong y Sheng Chen. "Division Approach of Traffic Signal Control Sub-Area". En 2009 International Conference on Information Engineering and Computer Science. IEEE, 2009. http://dx.doi.org/10.1109/iciecs.2009.5363143.
Texto completoXu, Yongli y Zhenzhen Xing. "Division of Traffic Dangerous Grade in Highway Maintenance Region". En Third International Conference on Transportation Engineering (ICTE). Reston, VA: American Society of Civil Engineers, 2011. http://dx.doi.org/10.1061/41184(419)470.
Texto completoFeng, Binbin, Hongwei Li y Yirui Jiang. "Traffic Zone Division Method Based on Spatial Constraint Clustering". En 2022 International Conference on Cloud Computing, Big Data Applications and Software Engineering (CBASE). IEEE, 2022. http://dx.doi.org/10.1109/cbase57816.2022.00043.
Texto completoLiu, Jincheng, Jianmei Tan y Feng Zhou. "Reasonable Division of Intercity Rail Transit and Other Intercity Traffic Modes". En Fourth International Conference on Transportation Engineering. Reston, VA: American Society of Civil Engineers, 2013. http://dx.doi.org/10.1061/9780784413159.164.
Texto completoPotuzak, Tomas. "Division of Road Traffic Network for Distributed Simulation Performed on Heterogeneous Clusters". En 2012 19th IEEE International Conference and Workshops on Engineering of Computer Based Systems (ECBS). IEEE, 2012. http://dx.doi.org/10.1109/ecbs.2012.24.
Texto completoPotuzak, Tomas. "Distributed/Parallel Genetic Algorithm for Road Traffic Network Division Using Step Parallelization". En 2015 4th Eastern European Regional Conference on the Engineering of Computer Based Systems (ECBS-EERC). IEEE, 2015. http://dx.doi.org/10.1109/ecbs-eerc.2015.19.
Texto completoPeterson, Blaine O. "Re-Engineering Heavy Haul Turnouts for Passenger Higher Speed Rail Operations". En ASME 2011 Rail Transportation Division Fall Technical Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/rtdf2011-67012.
Texto completoNakhla, H. K. y B. E. Thompson. "Calculation of Debris Trajectories During High-Speed Snowplowing". En ASME 2002 Joint U.S.-European Fluids Engineering Division Conference. ASMEDC, 2002. http://dx.doi.org/10.1115/fedsm2002-31429.
Texto completoLiu Xiao-ming y Zheng Shu-hui. "Study of division approach of traffic control Sub-area based on grey relation degree". En 2011 International Conference on Electric Technology and Civil Engineering (ICETCE). IEEE, 2011. http://dx.doi.org/10.1109/icetce.2011.5776508.
Texto completoPotuzak, Tomas. "Utilization of a Genetic Algorithm in Division of Road Traffic Network for Distributed Simulation". En 2011 2nd Eastern European Regional Conference on the Engineering of Computer Based Systems (ECBS-EERC 2011). IEEE, 2011. http://dx.doi.org/10.1109/ecbs-eerc.2011.33.
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