Thematische Bibliographien / Congestion modelling

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Auswahl der wissenschaftlichen Literatur zum Thema „Congestion modelling“

Autor: Grafiati

Veröffentlicht am 30. Juni 2021

Zuletzt aktualisiert am 17. Februar 2022

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Zeitschriftenartikel zum Thema "Congestion modelling"

Bulckaen, Fabrizio, und Alberto Pench. „Modelling congestion“. STUDI ECONOMICI, Nr. 106 (Februar 2013): 41–51. http://dx.doi.org/10.3280/ste2012-106003.

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Janic, Milan. „Modelling airport congestion charges“. Transportation Planning and Technology 28, Nr. 1 (Februar 2005): 1–26. http://dx.doi.org/10.1080/0308106052000340369.

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Schneider, Volker, und Rainer Könnecke. „Congestion in Computational Evacuation Modelling“. Collective Dynamics 5 (12.08.2020): A102. http://dx.doi.org/10.17815/cd.2020.102.

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The time-based analysis of egress scenarios is a long-standing and well-established method to evaluate occupant safety. It is based on the necessary condition that the required egress time is smaller than the available egress time. The former is derived by the application of evacuation models, the latter by calculation of smoke and heat spread in the case of a fire incident. In the calculation of required egress time the time-dependent development of occupant density and consequently the emergence of congestion often play a crucial role. There is a demand to evaluate the development of local occupant density and jam situations independent of the above time-based criterion. This is for example reflected in national guidelines and standards. It is however difficult to obtain general valid evaluation criteria for congestion due to the multitude of influencing parameter and the highly situation-dependent nature of the accompanying boundary conditions. In addition, prediction of localization and duration of congestion may differ from model to model if applied to equal scenarios. Furthermore, close inspection reveals the difficulty to define proper terms for a quantitative definition of congestion. This issue is further analysed in this paper based on three case studies.

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Wang, Zongzhi, und Tao Chen. „Pedestrian Evacuation Modelling with Dynamics Congestion Avoidance“. Collective Dynamics 5 (12.08.2020): A87. http://dx.doi.org/10.17815/cd.2020.87.

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With the development of computer technology, pedestrian simulation becomes an efficient method to analyse evacuation efficiency under various scenarios. Some important and common behaviour of pedestrians, congestion detection and avoidance, which is seldom considered in pedestrian simulation complicatedly, are discussed in this paper. A modified cellular automata model considering dynamic congestion detection and avoidance is proposed and applied to simulate two different scenarios to demonstrate the effect of congestion avoidance behaviour, which have a significant improvement on evacuation efficiency. The accuracy and efficacy of this model is verified through the comparison result which is conducted through commercial software, Pathfinder. The modified model shows that with the consideration of congestion avoidance behaviour properly, the evacuation efficiency is improved approximately 40% than the model proposed by this paper, without the consideration of congestion avoidance behaviour.

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Melo, Rafael C., Julio E. Normey-Rico und Jean-Marie Farines. „TCP modelling and predictive congestion control“. IFAC Proceedings Volumes 42, Nr. 14 (2009): 72–77. http://dx.doi.org/10.3182/20090901-3-ro-4009.00009.

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Humphries, Michael Peter. „Modelling Congestion At Refuse Reception Installations“. Waste Management & Research 4, Nr. 1 (Januar 1986): 279–91. http://dx.doi.org/10.1177/0734242x8600400134.

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Pollett, P. K. „Modelling congestion in closed queueing networks“. International Transactions in Operational Research 7, Nr. 4-5 (September 2000): 319–30. http://dx.doi.org/10.1111/j.1475-3995.2000.tb00202.x.

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Raheja, Tushar. „Modelling traffic congestion using queuing networks“. Sadhana 35, Nr. 4 (August 2010): 427–31. http://dx.doi.org/10.1007/s12046-010-0033-x.

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Han, Qi, Benedict Dellaert, Fred Van Raaij und Harry Timmermans. „MODELLING STRATEGIC BEHAVIOUR IN ANTICIPATION OF CONGESTION“. Transportmetrica 3, Nr. 2 (Januar 2007): 119–38. http://dx.doi.org/10.1080/18128600708685669.

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Al-Kashoash, Hayder A. A., Fadoua Hassen, Harith Kharrufa und Andrew H. Kemp. „Analytical modelling of congestion for 6LoWPAN networks“. ICT Express 4, Nr. 4 (Dezember 2018): 209–15. http://dx.doi.org/10.1016/j.icte.2017.11.001.

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Dissertationen zum Thema "Congestion modelling"

Chandakas, Ektoras. „Modelling congestion in passenger transit networks“. Thesis, Paris Est, 2014. http://www.theses.fr/2014PEST1011/document.

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Un modèle structurel est fourni afin d'appréhender les phénomènes de capacité dans un modèle d'affectation de flux de voyageurs sur un réseau de transport collectifs. Cela a été fondé sur une représentation du réseau de transports collectifs en deux couches : sur la couche inférieure, le modèle traite séparément chaque sous système du réseau (ligne, station et rabattement) en fonction des effets de capacité spécifiques ; sur la couche supérieure, le choix d'itinéraire d'un voyageur individuel est adressée par une représentation du réseau en leg (ou segment de ligne) en utilisant le coût et les caractéristiques opérationnelles des sous-systèmes respectifs. On établit une cadre novateur pour modéliser les effets de capacité et on développe le modèle CapTA (pour Capacitated Transit Assignment). Il s'agit d'un modèle d'affectation de flux systémique et modulaire. Il adresse les phénomènes de capacité ci dessous : La qualité du service en véhicule est liée au confort de voyageurs à bord. L'occupation d'états de confort hétérogènes (places assises, strapontins et debout à de densités de voyageurs variables) influence la pénibilité perçu du voyage ; La capacité du véhicule à la montée impacte le temps d'attente de voyageurs et leur distribution aux missions disponibles ; La capacité de l'infrastructure de la ligne établit une relation entre le temps de stationnement des véhicules (and par extension les flux de voyageurs en montée et en descente) et la performance des missions et leur fréquence de service. Ces phénomènes sont traités par ligne d'exploitation sur la base d'un ensemble des modèles locaux qui rendent de flux et de coût spécifiques. Par conséquent, ils modifient les conditions locales d'un trajet en transports collectifs pour chaque voyageur individuel. Cependant, ils doivent être adressés dans le cadre d'un réseau de transports collectifs afin de recueillir leur effet sur les choix d'itinéraire sur le réseau ; essentiellement sur les arbitrages économiques qui impactent le choix entre itinéraires alternatifs. Leur traitement sur la couche réseau garantir la cohérence du choix d'itinéraire. Le modèle de station traite de contraintes de capacité spécifiques et évalue les conditions locales de marche, qui est sensible aux interactions des voyageurs à l'intérieur de la station : le goulot instantané à l'entrée d'un élément de circulation retard l'évacuation de la plateforme ; la densité de voyageurs et l'hétérogénéité des leur flux ralenti les voyageurs qui circulent dans une station ; la présence de l'information en temps réel influence le processus de décision des voyageurs. Ces effets n'ont pas seulement un impact sur le choix d'itinéraire à l'intérieure de la station, mais notamment ils modifient les choix de service sur le niveau du réseau. La Région Ile-de-France fournit un champ d'application idéal pour un modèle d'affectation de flux de voyageurs en transport collectifs sous contraintes de congestion. Plus précisément, il est utilisé dans le cadre du modèle CapTA pour illustrer les capacités de simulation et la finesse de l'approche de modélisation adoptée. Le réseau de transports collectifs contient 1 500 missions de cars et autocars, tout comme 260 missions ferroviaires et inclut 14 lignes de métro et 4 lignes de tramway. L'affectation de trafic à l'heure de pointe du matin est caractérisée d'une charge importante en voyageurs sur les sections centrales de lignes ferroviaires qui traversent la ville. Un temps de stationnement élevé, en raison de flux de montée et descente, et la réduction de la fréquence de service impactent la capacité des missions et des lignes. Le temps généralisé d'un trajet est impacté notamment de sa composante de confort à bord. De résultats détaillés sont présentés sur le RER A, la ligne la plus chargée du réseau ferroviaire régional
A structural model is provided to capture capacity phenomena in passenger traffic assignment to a transit network. That has been founded on a bi-layer representation of the transit network : on the lower layer the model addresses each network sub-system (line, station and access-egress) separately, on the basis of specific capacity effects ; on the upper layer a leg-based representation is used with respect to the sub-systems' costs and operating characteristics to address the trip maker's path choices. We establish a novel framework for modelling capacity effects and develop the CapTA network model (for Capacitated Transit Assignment). It is systemic and modular and addresses in particular the following capacity phenomena, the in-vehicle quality of service is linked to the comfort of the passengers on-board. The occupation of heterogeneous comfort states (seats, folding seats and standing at different passenger densities) influences the perceived arduousness of the travel ; the vehicle capacity at boarding influences the waiting time of the passengers and their distribution to the transit services ; the track infrastructure capacity relates the dwelling time of the vehicles (and by extent the alighting and boarding flows) with the performance of the transit services and their service frequency. These phenomena are dealt with by line of operations on the basis of a set of local models yielding specific flows and costs. Accordingly, they modify the local conditions of a transit trip for each individual passenger. However, these should be addressed within the transit network in order to capture their effect on the network path choices; essentially the economic trade-offs that influence the choice between different network itineraries. Their treatment in a network level assures the coherence of the path choice. Equivalently, a station sub-model addresses specific capacity constraints and yields the local walking conditions, sensible to the interaction of the passengers in the interior of a station : the instant bottleneck created at the entry of the circulation elements delays the evacuation of the station platforms; the passenger density and presence of heterogeneous passenger flows slows down the passengers who circulate in the station; and the presence of real-time information influences the decision making process of the transit users exposed to. These effects do not only impact locally the in-station path choice, but most notably they modify the choices of transit routes and itineraries on a network level. The Paris Metropolitan Region provides an ideal application field of the capacity constrained transit assignment model. It is mainly used as a showcase of the simulation capabilities and of the finesse of the modelling approach. The transit network involves 1 500 bus routes together with 260 trains routes that include 14 metro lines and 4 light rail lines. Traffic assignment at the morning peak hour is characterized by heavy passenger loads along the central parts of the railway lines. Increased train dwelling, due to boarding and alighting flows, and reduction in the service frequency impact the route and the line capacity. The generalized time of a transit trip is impacted mainly though its in-vehicle comfort component. Detailed results have been provided for the RER A, the busiest commuter rail line in the transit network

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Voice, Thomas David. „Stability of congestion control algorithms with multi-path routing and linear stochastic modelling of congestion control“. Thesis, University of Cambridge, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.614022.

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Zernis, Rudolfs. „Modelling urban traffic congestion due to construction transports - The Case of Norrköping“. Thesis, Linköpings universitet, Kommunikations- och transportsystem, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-177545.

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Störningsfri stad is an ongoing research project in Norrköping with the aim to create a planning system that shows the impact on the city caused by construction project related logistic activities. Based on the general idea that construction sites create disturbances within a city the thesis evaluates how it is possible to model excess congestion caused by construction transport and trips. Other part of thesis focuses of the application of construction logistic solutions and their respective impact on the congestion. To deal with the stated problem, a case is created Case Norrköping. It involves the preparation of datasets that describe travel patterns for HGV and workers going to and from construction sites. Case Norrköping is based on six construction sites located in Norrköping. Construction sites have an estimated demand of transports. For that reason, three reference values are created. Reference values are given as the number of HGV serving all sites 152, 458, 1404 number of vehicles during one working day. To create OD-matrices for the HGV trips, six supplier locations are used. Resulting datasets describe in detail how and when HGV and workers arrive at the construction sites. The actual modelling of congestion effects is done in traffic simulation framework MATSim. An existing Norrköping MATSim model is used and combined with the datasets created in Case Norrköping. Output of simulation is potential congestion effect on car traffic in Norrköping. Case Norrköping is evaluated by changing the number of involved sites. Results show that construction transports contribute to increased congestion levels. Absolute increase of congestion is not significant for scenario 152 HGV. Scenarios 458 and 1404 HGV do show noticeable increases in congestion, especially during peak hour periods. Finally, construction logistic solutions are applied to Case Norrköping to evaluate the impact on congestion level. Different HGV arrival schedules at construction sites are applied. Result of logistic solution application shows that congestion levels can be decreased if peak-hour avoidance is considered in construction transport planning. Even constant arrival rate compared to present arrival rate in Case Norrköping can provide a minor decrease in congestion levels. The gains of applying logistic become more distinct with larger number of HGV. At high HGV demand such as scenario 1404 HGV, total delay hours can be decreased between 20 and 40 percent with a suitable construction logistic solution.

Examensarbetet är utfört vid Institutionen för teknik och naturvetenskap (ITN) vid Tekniska fakulteten, Linköpings universitet

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Hong, Tianyang. „Congestion modelling and optimisation of routers with correlated traffic and arbitrary service times“. Thesis, Imperial College London, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.542951.

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Wang, Yunyu. „The interaction of context and demography in equity effects of congestion pricing“. Thesis, KTH, Trafik och logistik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-152338.

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The equity effect of congestion pricing has been advocated to be given enough concern for its acceptability. This thesis aimed to explore the mixed effects in travel behaviour changing caused by congestion charging in demography factors (social economic status) and context factors (location, flexibility, access to car and possession of long-term public transport card). In order to understand by what mechanisms congestion pricing affects the equity, structural equation modelling was applied to model the causal networks in the case study of Stockholm congestion charge. Results revealed a more complicated influence from different combination of factors. The location relative to charging cordon mattered for the trip-making both directly and indirectly through the transport mode preference. The work schedule flexibility should be also taken into consideration when considering the time-based scheme. The mixed effects between two groups of factors suggested that more factors should be considered when justifying the privileged group and disadvantaged group to implement the policy. The method used in this thesis could be very constructive for equity effect evaluation in other cities with different conditions.

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Ferreira, Marina Amado. „Congestion in many-particle systems with volume exclusion constraints : algorithms and applications to modelling in biology“. Thesis, Imperial College London, 2018. http://hdl.handle.net/10044/1/62322.

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Many-particle systems with congestion are widely found in biology, for example, in cell tissues or herds. Mathematical modelling constitutes an important tool in their study. In contrast to common approaches, we propose two new modelling frameworks that rely on the exact treatment of the contacts between particles: a particle-based and a continuum framework. Both frameworks are based on the same behavioural rules, namely 1) two particles cannot overlap with each other and 2) the particles seek a minimum of a given confining potential at all times. The dynamics is driven by the evolution of the potential and changes in particle characteristics, such as size. In the first part, the static equilibria of the particle-based model are obtained as solutions to a minimization problem. This leads to non-convex optimization under volume exclusion constraints. Classical tools are either not applicable or not efficient. We develop and study a new and efficient minimization algorithm to approximate a solution. The second part concerns the time-evolution of the particle-based framework. We develop new time-stepping schemes involving the resolution of a minimization problem at each time-step, which is tackled with the minimization algorithm developed in the first part. The study of these schemes is performed in the case of a system of hard-spheres undergoing ballistic aggregation on a torus and it succeeds to simulate up to one million particles. These new tools are applied to the study of the mechanics of a cell tissue, which has allowed to validate them in practice. In the third part, we develop a continuum modelling framework describing the evolution of particle density. Our approach differs from previous ones by relying on different modelling assumptions that are more appropriate to biological systems. We show that this novel approach leads to a free-boundary problem and we characterize the dynamics of the boundary.

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Smit, Robin, und n/a. „An Examination of Congestion in Road Traffic Emission Models and Their Application to Urban Road Networks“. Griffith University. School of Environmental Science, 2007. http://www4.gu.edu.au:8080/adt-root/public/adt-QGU20070724.155421.

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The level of air pollution in urban areas, which is largely affected by road traffic, is an issue of high political relevance. Congestion is most prevalent in urban areas and a common and increasingly present phenomenon worldwide. The first four chapters of this study have investigated how and to what extent models, which are used to predict emissions on road links in urban road networks, include the effects of congestion on emissions. In order to make this assessment, traffic engineering literature and empirical studies have been examined and used as a basis to review (current) emission models that exist or have been used around the world. Congestion causes changes in driving patterns of individual vehicles in a traffic stream, and these changes are subsequently reflected in changes in congestion indicators and changes in emission levels. This consideration and a literature review has led to a proposed 'congestion typology' of emission models, which reflects the different ways in which and the extent to which congestion has been incorporated in these models. The typology clarifies that six of in total ten families of emission models that were investigated in this thesis explicitly consider congestion in the modelling process (i.e. model variables are related to congestion), although this is done in different ways. For the remaining four families of emission models it was not possible to determine the extent to which congestion has been incorporated on the basis of literature review alone. Two families fell beyond the scope of this work since they cannot be used to predict emission on road links. For the other two families it became clear in the course of the thesis that the extent can be determined through analysis of driving pattern data (and other information with respect to e.g. data collection) that were used in the model development. A new methodology is presented in this thesis to perform this analysis and to assess the mean level of congestion in driving patterns (driving cycles). The analysis has been carried out for one important family of emission models, the so-called travel speed models ('average speed models'), which are used extensively in urban network modelling. For four current models (COPERT III, MOBILE 6, QGEPA 2002, EMFAC 2000), it is concluded that these models implicitly (i.e. congestion is inherently considered) take varying levels of congestion into account, but that this conclusion is subject to a number of limitations. It became clear in the course of this study that prediction of (the effects of) congestion in both traffic models and emission models is generally restricted to certain modelling dimensions. As a consequence, the effects of congestion are only partially predicted in current air emission modelling. Chapter 5 has attempted to address the question whether congestion is actually an important issue in urban network emission modelling or not. It also addressed the question if different types of emission models actually predict different results. On the basis of a number of selection criteria, two types of models were compared, i.e. one explicit model (TEE-KCF 2002) and two implicit models (COPERT III, QGEPA 2002). The research objectives have been addressed by applying these emission models to a case-study urban network in Australia (Brisbane) for which various model input attributes were collected from different sources (both modelled and field data). The findings are limited by the fact that they follow from one urban network with particular characteristics (fleet composition, signal settings, speed limits) and application of only a few particular emission models. The results therefore indicate that: 1. Changes in traffic activity (i.e. distribution of vehicle kilometres travelled on network links) over the day appear to have the largest effect on predicted traffic emissions. 2. Congestion is an important issue in the modelling of CO and HC emissions. This appears not to be the case for NOx emissions, where basic traffic composition is generally a more important factor. For the most congested parts in the urban network that have been investigated, congestion can more than double predicted emissions of CO and HC. 3. Different types of emission models can produce substantially different results when absolute (arithmetic) differences are considered, but can produce similar results when relative differences (ratio or percent difference) are considered.

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Tampère, Chris M. J. „Human-kinetic multiclass traffic flow theory and modelling. With application to Advanced Driver Assistance Systems in congestion“. Diss., Delft University of Technology, 2004. http://hdl.handle.net/10919/71567.

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Motivated by the desire to explore future traffic flows that will consist of a mixture of classical vehicles and vehicles equipped with advanced driver assistance systems, new mathematical theories and models are developed. The basis for this theory was borrowed from the kinetic description of gas flows, where we replaced the behaviour of the molecules by typical human driving behaviour. From a methodological point of view, this 'human-kinetic' traffic flow theory provides two major improvements with respect to existing theory. Firstly, the model builds exclusively on a mathematical description of individual driver behaviour, whereas traditionally field measurements of traffic flow variables like flow rate and average speed of the flow are needed. This is of major importance for the exploration of future traffic flows with vehicles and equipment that are not yet on the market, and for which at best individual test results from driving simulator experiments or small scale field trials are available. Secondly, the model accounts for the more refined aspects of individual driver behaviour by considering the 'internal' state of the driver (active/passive, aware/unaware,...) and the variations of driving strategy that occur during driving. This is important when the ambition is to capture refined congestion patterns like the occurrence of stop-and-go waves, oscillating congestion and long jams, where the driving strategy may depend for instance on the motivation of the driver to follow closely. This new theory links together the worlds of traffic engineers and behavioural scientists. As such, it is a promising tool that increases the insight in the human behaviour as a basis of various dynamic congestion patterns, and it facilitates the design and evaluation of electronic systems in the vehicle that assist the driver to behave safer, more comfortable and more efficient in busy traffic flows. Herewith, the results of this research are relevant, both for the theoretical interest of the TRAIL research school, and for the more practically oriented work of TNO, who provided financing for this research in the joint T3 research program.

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Saifuzzaman, Mohammad. „Modelling the effects of Stockholm Congestion Charges – A comparison of the two dynamic models: Metropolis and Silvester“. Thesis, KTH, Transportvetenskap, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-42355.

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Congestion charging has drawn considerable attention of transport analysts and policymakers as a mean of relieving urban traffic congestion. Proper prediction of the impacts of charging is necessary for policy makers to take right decisions. A European project named SILVERPOLIS have been introduced in this connection to describe state-of-practice in modelling effects of congestion charging and to identify features of transport models that are crucial for reliable forecasting of effects of congestion charging. This master thesis is a part of the SILVERPOLIS project, where Stockholm congestion charging scheme has been analysed using two different types of dynamic simulators: METROPOLIS and SILVESTER. The simulations are based on traffic data collected before and after the Stockholm congestion charging trial performed in spring 2006. The result of simulation suggests that METROPOLIS, which has been used for predicting effects of congestion charging in Ile-de-France, manages well to forecast the consequences of congestion charging for Stockholm. Comparison with SILVESTER model disclosed that, although calibration results of the two models differs in some respect, both models give similar results regarding impacts of congestion charging. The different modelling features and assumptions have been described for the two models. Despite the fact that the two models vary a lot in their assumptions and modelling style, both of them has proved to be good at describing the effect of congestion charging.

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Kotze, Daniel Johannes Van Wyk. „Minimum congestion routing for a 17 GHz wireless ad hoc network“. Thesis, Stellenbosch : University of Stellenbosch, 2011. http://hdl.handle.net/10019.1/6510.

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Thesis (MScEng (Electrical and Electronic Engineering))--University of Stellenbosch, 2011.
ENGLISH ABSTRACT: An investigation is made to ﬁnd a suitable routing protocol for a millimeter wave ad hoc wireless network. It is discovered that a hierarchical routing protocol is ideal for a high node density. Due to the high bandwidth that is possibly available, with millimeter wave transmission, packets are used to keep links between nodes active and to control data packet congestion. Cluster leaders are elected and use token packets to provide nodes with more queued messages with more transmission chances, assisting the network in congestion control. Hello messages are sent frequently to keep routing information at nodes fresh and to detect broken links quickly. If a broken link is found a new route is readily available, within a second. A simulation is created to test the protocol. Changes are made to the original proactive cluster routing protocol to reduce the route length and lessen routing overhead. A theoretical model is developed to estimate the mean waiting time for a packet. Although insight is gained by modelling the latency with queueing theory it is suggested, due to the protocol’s complexity, to use other mathematical modelling techniques such as a Markov state model or a Petri net.
AFRIKAANSE OPSOMMING: Ondersoek word ingestel na ’n geskikte roete protokol vir ’n millimeter golﬂengte ad hoc radio pakkie netwerk. Daar word gevind dat ’n hi¨erargiese kluster roete protokol ideaal is vir ’n ho¨e digtheid van nodusse. As gevolg van die ho¨e bandwydte, wat moontlik beskikbaar is met millimeter golﬂengte transmissie, word pakkies gebruik om kommunikasie skakels tussen nodes in stand te hou en data pakkie verkeersopeenhoping te beheer. Kluster leiers word verkies en gebruik teken-pakkies om nodes met ’n groter data pakkie las meer transmissie kanse te gee. Sodoende word die verkeersopeenhoping van data pakkies verminder. Hallo pakkies word gereeld gestuur om die roete inligting vars te hou en gebroke kommunikasie skakels vinnig op te spoor. As ’n gebroke skakel gevind word, word ’n alternatiewe roete vinnig opgestel, binne ’n sekonde. ’n Simulasie word opgestel om die protokol te toets. Veranderinge aan die oorspronklike proaktiewe kluster protokol word aangebring om roete lengte te verklein en oorhoofse roete inligting kommunikasie te verminder. ’n Teoretiese model gebasseer op tou-staan teorie word ontwikkel om die wagtyd van ’n pakkie te bepaal. Alhoewel, insig verkry is deur die protokol te analiseer deur middel van tou-staan teorie, word daar voorgestel, as gevolg van die protokol se kompleksiteit, om eerder ander wiskundige modelleeringstegnieke te gebruik soos ’n Markov toestands model of ’n Petri net.

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Bücher zum Thema "Congestion modelling"

Lindsey, Robin. Congestion modelling. Edmonton, Alta: Dept. of Economics, University of Alberta, 1999.

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Eliahu, Stern, Salomon Ilan und Bovy, Piet H. L., 1943-, Hrsg. Travel behaviour: Spatial patterns, congestion and modelling. Cheltenham, UK: E. Elgar Pub., 2002.

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Modelling urban congestion, social ostracization, and ecologically constrained environment. Allahabad: Govind Ballabh Pant Social Science Institute, 1987.

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(Editor), Eliahu Stern, Ilan Salomon (Editor) und Piet H. L. Bovy (Editor), Hrsg. Travel Behaviour: Spatial Patterns, Congestion and Modelling (Transport Economics, Management, and Policy). Edward Elgar Publishing, 2002.

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Buchteile zum Thema "Congestion modelling"

Emmerink, Richard H. M. „Simulation Modelling: Recurrent Congestion“. In Advances in Spatial Science, 187–213. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-72143-4_11.

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Emmerink, Richard H. M. „Simulation Modelling: Non-Recurrent Congestion“. In Advances in Spatial Science, 214–31. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-72143-4_12.

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Filipiak, Janusz. „Congestion Offloading Procedure“. In Modelling and Control of Dynamic Flows in Communication Networks, 122–32. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-83205-5_11.

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Hearn, Donald W., und Motakuri V. Ramana. „Solving Congestion Toll Pricing Models“. In Equilibrium and Advanced Transportation Modelling, 109–24. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5757-9_6.

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Frantti, Tapio. „Fuzzy Congestion Control In Packet Networks“. In Computational Intelligence for Modelling and Prediction, 291–308. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/10966518_21.

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Pyatkova, Katya, Albert S. Chen, David Butler und Slobodan Djordjević. „Modelling Road Transport Congestion Due to Flooding“. In New Trends in Urban Drainage Modelling, 517–21. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99867-1_89.

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Zhang, Xiao-Ping, Christian Rehtanz und Bikash Pal. „Congestion Management and Loss Optimization with FACTS“. In Flexible AC Transmission Systems: Modelling and Control, 269–90. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28241-6_8.

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Urhahne, Joseph A., Patrick Piastowski und Mascha C. van der Voort. „Modelling and Experimental Study for Automated Congestion Driving“. In Advances in Visual Computing, 784–94. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-27857-5_70.

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Melo, Rafael C., Jean-Marie Farines und Julio E. Normey-Rico. „Modelling and Predictive Congestion Control of TCP Protocols“. In Time Delay Systems: Methods, Applications and New Trends, 383–93. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-25221-1_29.

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Isreb, M., und A. I. Khan. „Internet Traffic Congestion Modelling and Parallel Distributed Analysis“. In Parallel and Distributed Processing and Applications, 145–51. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-37619-4_16.

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Konferenzberichte zum Thema "Congestion modelling"

Gran, Ernst Gunnar, und Sven-Arne Reinemo. „InfiniBand Congestion Control, Modelling and validation“. In 4th International ICST Conference on Simulation Tools and Techniques. ACM, 2011. http://dx.doi.org/10.4108/icst.simutools.2011.245509.

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Hossain, Bushra, Kazi Abir Adnan, Md Fazle Rabbi und Mohammed Eunus Ali. „Modelling Road Traffic Congestion from Trajectories“. In DSIT 2020: 2020 3rd International Conference on Data Science and Information Technology. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3414274.3414491.

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Ito, Teruaki. „Simulation-Based Approaches Towards Congestion Problems“. In 2008 Second Asia International Conference on Modelling & Simulation (AMS). IEEE, 2008. http://dx.doi.org/10.1109/ams.2008.192.

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Alikhanzadeh, Samaneh, und Mohammad Hossein Yaghmaee. „A Congestion Control Mechanism for WSN in Nonstationary Q-Model Environment using Learning Automata“. In Modelling and Simulation. Calgary,AB,Canada: ACTAPRESS, 2011. http://dx.doi.org/10.2316/p.2011.735-039.

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Fiems, Dieter, und Balakrishna Prabhu. „Macroscopic modelling and analysis of rush-hour congestion“. In VALUETOOLS '20: 13th EAI International Conference on Performance Evaluation Methodologies and Tools. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3388831.3388849.

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Nishimura, K., und K. Takahashi. „A Multi-Agent Routing Protocol With Congestion Control For MANET“. In 21st Conference on Modelling and Simulation. ECMS, 2007. http://dx.doi.org/10.7148/2007-0164.

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„Comparing de-congestion scenarios using a hospital event simulation model“. In 22nd International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand (MSSANZ), Inc., 2017. http://dx.doi.org/10.36334/modsim.2017.i3.hou.

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Nappu, M. B., und T. K. Saha. „A comprehensive tool for congestion-based nodal price modelling“. In Energy Society General Meeting (PES). IEEE, 2009. http://dx.doi.org/10.1109/pes.2009.5275530.

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Lingen, Wouter v., und Paul C. Roling. „Modelling the effects of gate planning on apron congestion“. In AIAA Aviation 2019 Forum. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2019. http://dx.doi.org/10.2514/6.2019-3047.

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Kulkarni, Nandkumar, Dnyaneshwar Mantri, Pranav Pawar und Neeli Rashmi Prasad. „Averaging Based Predictive Modelling for Traffic Congestion in IoT“. In 2018 IEEE Global Conference on Wireless Computing and Networking (GCWCN). IEEE, 2018. http://dx.doi.org/10.1109/gcwcn.2018.8668649.

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