Relevant bibliographies by topics / Congestion modelling

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Congestion modelling'

Author: Grafiati
Published: 30 June 2021
Last updated: 29 July 2025

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Journal articles on the topic "Congestion modelling"

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Bulckaen, Fabrizio, and Alberto Pench. "Modelling congestion." STUDI ECONOMICI, no. 106 (February 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, no. 1 (2005): 1–26. http://dx.doi.org/10.1080/0308106052000340369.

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Schneider, Volker, and Rainer Könnecke. "Congestion in Computational Evacuation Modelling." Collective Dynamics 5 (August 12, 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 o
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Muslih, Muneer, Ahmed Abduljabbar, and Hasan Joni. "Review of traffic demand management strategies." IOP Conference Series: Earth and Environmental Science 1232, no. 1 (2023): 012055. http://dx.doi.org/10.1088/1755-1315/1232/1/012055.

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Abstract This review article seeks to determine the most effective strategies to reduce traffic congestion which have been implanted in different countries and cities around the world. In this review, previous research work was gathered focusing on approaches for mitigating traffic congestion issues. The paper discovered that there are two ways to control congestion which are through supply-side actions, and demand-side actions, the paper also discovered that traffic modelling and simulation software packages are crucial to decision-makers because of its capability to evaluate and simulate the
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Wang, Zongzhi, and Tao Chen. "Pedestrian Evacuation Modelling with Dynamics Congestion Avoidance." Collective Dynamics 5 (August 12, 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 e
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Melo, Rafael C., Julio E. Normey-Rico, and Jean-Marie Farines. "TCP modelling and predictive congestion control." IFAC Proceedings Volumes 42, no. 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, no. 1 (1986): 279–91. http://dx.doi.org/10.1177/0734242x8600400134.

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Raheja, Tushar. "Modelling traffic congestion using queuing networks." Sadhana 35, no. 4 (2010): 427–31. http://dx.doi.org/10.1007/s12046-010-0033-x.

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Pollett, P. K. "Modelling congestion in closed queueing networks." International Transactions in Operational Research 7, no. 4-5 (2000): 319–30. http://dx.doi.org/10.1111/j.1475-3995.2000.tb00202.x.

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Chen, Yongjun, Ming Huang, Kaixuan Song, and Tengfei Wang. "Prediction of Ship Traffic Flow and Congestion Based on Extreme Learning Machine with Whale Optimization Algorithm and Fuzzy c-Means Clustering." Journal of Advanced Transportation 2023 (May 20, 2023): 1–12. http://dx.doi.org/10.1155/2023/7175863.

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Accurately predicting short-term congestions in ship traffic flow is important for water traffic safety and intelligent shipping. We propose a method for predicting the traffic flow of ships by applying the whale optimization algorithm to an extreme learning machine. The method considers external environmental uncertainty and complexity of ships navigating in traffic-intensive waters. First, the parameters of ship traffic flow are divided into multiple modal components using variational mode decomposition and extreme learning machine. The machine and the whale optimization algorithm constitute
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Dissertations / Theses on the topic "Congestion modelling"

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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
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Raheja, Tushar. "Modelling traffic congestion - to wait or to be late." Thesis, IIT Delhi, 2016. http://localhost:8080/iit/handle/2074/7009.

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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 in
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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 co
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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
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Smit, Robin, and 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 model
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Smit, Robin. "An Examination of Congestion in Road Traffic Emission Models and Their Application to Urban Road Networks." Thesis, Griffith University, 2007. http://hdl.handle.net/10072/365194.

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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 model
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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 descriptio
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Books on the topic "Congestion modelling"

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

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

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Bovy, Piet H. L., IIan Salomon, and Eliahu Stern. Travel Behaviour: Spatial Patterns, Congestion and Modelling. Elgar Publishing Limited, Edward, 2002.

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

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Oluwatope, Ayodeji. Available Bandwidth Congestion Control for Grid Computing: Modelling and Simulation. LAP Lambert Academic Publishing, 2011.

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

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Book chapters on the topic "Congestion modelling"

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Emmerink, Richard H. M. "Simulation Modelling: Recurrent Congestion." In Advances in Spatial Science. 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. 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. Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-83205-5_11.

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Hearn, Donald W., and Motakuri V. Ramana. "Solving Congestion Toll Pricing Models." In Equilibrium and Advanced Transportation Modelling. 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. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/10966518_21.

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Pyatkova, Katya, Albert S. Chen, David Butler, and Slobodan Djordjević. "Modelling Road Transport Congestion Due to Flooding." In New Trends in Urban Drainage Modelling. 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, and Bikash Pal. "Congestion Management and Loss Optimization with FACTS." In Flexible AC Transmission Systems: Modelling and Control. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28241-6_8.

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

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

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

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Conference papers on the topic "Congestion modelling"

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Huang, Yi-Sheng, Yi-Shun Weng, and Wei-Chih Wang. "Integrated Traffic Congestion Control Strategies Using Cell Transmission Model and Advanced Mathematical Modelling Techniques." In 2024 International Conference on Electrical and Computer Engineering Researches (ICECER). IEEE, 2024. https://doi.org/10.1109/icecer62944.2024.10920285.

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Gran, Ernst Gunnar, and 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, and Mohammed Eunus Ali. "Modelling Road Traffic Congestion from Trajectories." In DSIT 2020: 2020 3rd International Conference on Data Science and Information Technology. 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, and Mohammad Hossein Yaghmaee. "A Congestion Control Mechanism for WSN in Nonstationary Q-Model Environment using Learning Automata." In Modelling and Simulation. ACTAPRESS, 2011. http://dx.doi.org/10.2316/p.2011.735-039.

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Nishimura, K., and 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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Fiems, Dieter, and Balakrishna Prabhu. "Macroscopic modelling and analysis of rush-hour congestion." In VALUETOOLS '20: 13th EAI International Conference on Performance Evaluation Methodologies and Tools. ACM, 2020. http://dx.doi.org/10.1145/3388831.3388849.

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Kotakonda, Chakravarthi, and Pratyasa Bhui. "Modelling of Power Flow Dynamics for Congestion Control." In 2022 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems (SPICES). IEEE, 2022. http://dx.doi.org/10.1109/spices52834.2022.9774150.

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

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Journal articles Dissertations / Theses
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