Relevant bibliographies by topics / Fluid traffic modeling

Academic literature on the topic 'Fluid traffic modeling'

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Published: 14 March 2023

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Journal articles on the topic "Fluid traffic modeling"

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Nicol, David M., and Guanhua Yan. "Discrete event fluid modeling of background TCP traffic." ACM Transactions on Modeling and Computer Simulation 14, no. 3 (July 2004): 211–50. http://dx.doi.org/10.1145/1010621.1010622.

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Metar, Manas. "Computational Fluid Dynamic Analysis of Conceptual 3D Car Model." International Journal for Research in Applied Science and Engineering Technology 9, no. 12 (December 31, 2021): 1704–11. http://dx.doi.org/10.22214/ijraset.2021.39608.

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Abstract: From past decades, people are giving more attention to conservation of the fuels. The increasing number of passenger cars have increased the amount of traffic which directly impacts pollution and traffic congestion. Manufacturers are indulged into making lightweight and performance efficient automobiles. Implementation of different designs and materials has been in practice since ages. We need smaller vehicle designs for personal transport and electric vehicles to tackle the raising problems. In future designs, vehicles will be efficient enough to save more fuel and also the traffic problems may be solved. But for the design optimizations and experiments we need different analyses to be performed, one of which is aerodynamic analysis. In this paper a CFD analysis is done to check the aerodynamic performance of a proposed car design. The car has been designed using Onshape modeling software and analyzed in Simscale software. The car is subjected to different vehicle speeds and the results of drag coefficients and pressure plots are shown. Keywords: Design and analysis of a vehicle, CFD analysis, Aerodynamic analysis, 3D modelling, Drag coefficient, Pressure plot, Concept car, Performance Optimization.
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Itoh, Eri, Mihaela Mitici, and Michael Schultz. "Modeling Aircraft Departure at a Runway Using a Time-Varying Fluid Queue." Aerospace 9, no. 3 (February 25, 2022): 119. http://dx.doi.org/10.3390/aerospace9030119.

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Reducing the length of departure queues at runway entry points is one of the most important requirements for reducing aircraft traffic congestion and fuel consumption at airports. This study designs an aircraft departure model at a runway using a time-varying fluid queue. The proposed model enables us to determine the aircraft waiting time in the departure queue and to evaluate effective control approaches for assigning suitable holds at gates rather than runway entry points. As a case study, this study modeled the departure queue at runway 05 of Tokyo International Airport for an entire day of operations. Using actual traffic data of departures at the airport, the model estimates that aircraft spend a total of 2.5 h departure waiting time in a day at runway 05. Considering the stochastic nature of actual departure traffic, the relevance of the proposed model is discussed using validation criteria. The model estimation shows a reasonable, expected order of magnitude compared with the departure queue recorded in the actual traffic data. Furthermore, ecological and economic benefits are quantitatively evaluated assuming a reduction in the departure queue length. Our results show that about one kiloton of fuel oil per year is wasted due to aircraft waiting to depart from a single departure runway.
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Tang, Jie. "Research and empirical Analysis of Traffic flow Modeling based on fluid Mechanics." IOP Conference Series: Earth and Environmental Science 692, no. 4 (March 1, 2021): 042102. http://dx.doi.org/10.1088/1755-1315/692/4/042102.

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Kuznetsov, A. V., and K. Hooman. "Modeling traffic jams in intracellular transport in axons." International Journal of Heat and Mass Transfer 51, no. 23-24 (November 2008): 5695–99. http://dx.doi.org/10.1016/j.ijheatmasstransfer.2008.04.022.

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DARBHA, SWAROOP, and K. R. RAJAGOPAL. "LIMIT OF A COLLECTION OF DYNAMICAL SYSTEMS: AN APPLICATION TO MODELING THE FLOW OF TRAFFIC." Mathematical Models and Methods in Applied Sciences 12, no. 10 (October 2002): 1381–99. http://dx.doi.org/10.1142/s0218202502002161.

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The flow of traffic is usually described using a continuum approach as that of a compressible fluid, a statistical approach via the kinetic theory of gases or cellular automata models. These approaches are not suitable for modeling dynamical systems such as traffic. While such systems are large collections, they are not large enough to be treated as a continuum. We provide a rationale for why they cannot be appropriately described using a continuum model, the kinetic theory of gases, or by appealing to cellular automata models. As an alternative, we develop a discrete dynamical systems approach that is particularly well suited to describe the dynamics of large systems such as traffic.
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Sun, Dazhi, Jinpeng Lv, and S. Travis Waller. "In-depth analysis of traffic congestion using computational fluid dynamics (CFD) modeling method." Journal of Modern Transportation 19, no. 1 (March 2011): 58–67. http://dx.doi.org/10.1007/bf03325741.

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Otegen, Diana Assankhankyzy. "MODELS OF TRAFFIC FLOW DYNAMICS ON HIGHWAYS." Вестник КазАТК 116, no. 1 (March 15, 2021): 236–41. http://dx.doi.org/10.52167/1609-1817-2021-116-1-236-241.

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The paper is an analytical review of the currently existing methods of traffic flows modeling. The movement of vehicles on the road can be modeled in different ways. Mathematical models as tools that allow us to study complex processes in the real world, including transport infrastructure, without capital expenditures, are a popular tool for solving many problems in various spheres of the national economy. There are several approaches to mathematical modeling of traffic flows. In microscopic models, the law of motion of each car is set, depending on its current position, speed, characteristics of the movement of neighboring cars, and other factors. Microscopic models, in turn, can be divided into models that are continuous in space and time, and into models that are discrete in space and time, the so-called cellular automata. In macroscopic models, the transport flow is considered as a fluid flow with special properties. The equations of the macroscopic model establish the relationship between the flow, density, speed of movement, possibly acceleration, and so on. Macroscopic models can also be continuous or discrete. In continuous models, the change in the state of a road section without branches and intersections is usually described by partial differential equations. Modeling traffic flows is necessary because active experiments in the existing transport network are fraught with unpredictable consequences, and in many cases are not feasible at all. The work presents a description and analysis of the models, and of their advantages and disadvantages.
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Rocha, F. G. C., C. B. Santos, and F. H. T. Vieira. "Traffic Modeling in PLC Networks using a Markov Fluid Model with Autocorrelation Function Fitting." TEMA - Tendências em Matemática Aplicada e Computacional 12, no. 3 (December 2011): 233–43. http://dx.doi.org/10.5540/tema.2011.012.03.0233.

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Kontovasilis, Kimon P., and Nikolas M. Mitrou. "Bursty traffic modeling and efficient analysis algorithms via fluid-flow models for ATM IBCN." Annals of Operations Research 49, no. 1 (December 1994): 279–323. http://dx.doi.org/10.1007/bf02031601.

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Dissertations / Theses on the topic "Fluid traffic modeling"

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Wang, Chuanfeng. "Collective dynamics and control of a fleet of heterogeneous marine vehicles." Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/50336.

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Cooperative control enables combinations of sensor data from multiple autonomous underwater vehicles (AUVs) so that multiple AUVs can perform smarter behaviors than a single AUV. In addition, in some situations, a human-driven underwater vehicle (HUV) and a group of AUVs need to collaborate and preform formation behaviors. However, the collective dynamics of a fleet of heterogeneous underwater vehicles are more complex than the non-trivial single vehicle dynamics, resulting in challenges in analyzing the formation behaviors of a fleet of heterogeneous underwater vehicles. The research addressed in this dissertation investigates the collective dynamics and control of a fleet of heterogeneous underwater vehicles, including multi-AUV systems and systems comprised of an HUV and a group of AUVs (human-AUV systems). This investigation requires a mathematical motion model of an underwater vehicle. This dissertation presents a review of a six-degree-of-freedom (6DOF) motion model of a single AUV and proposes a method of identifying all parameters in the model based on computational fluid dynamics (CFD) calculations. Using the method, we build a 6DOF model of the EcoMapper and validate the model by field experiments. Based upon a generic 6DOF AUV model, we study the collective dynamics of a multi-AUV system and develop a method of decomposing the collective dynamics. After the collective dynamics decomposition, we propose a method of achieving orientation control for each AUV and formation control for the multi-AUV system. We extend the results and propose a cooperative control for a human-AUV system so that an HUV and a group of AUVs will form a desired formation while moving along a desired trajectory as a team. For the post-mission stage, we present a method of analyzing AUV survey data and apply this method to AUV measurement data collected from our field experiments carried out in Grand Isle, Louisiana in 2011, where AUVs were used to survey a lagoon, acquire bathymetric data, and measure the concentration of reminiscent crude oil in the water of the lagoon after the BP Deepwater Horizon oil spill in the Gulf of Mexico in 2010.
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Nygren, Johan. "On the impact of noise and energy demand from traffic : An assessment using microscopic modelling." Licentiate thesis, KTH, Marcus Wallenberg Laboratoriet MWL, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-292360.

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Noise emissions from transportation remain one of the greatest environmental issues of modern day. Inhabitants in urban environments are especially exposed, with almost 80 million people in the European Union exposed to noise levels exceeding the recommended limits set by the World Health Organization (WHO). While the health-related effects from exposure of traffic noise are problematic and of utmost importance to reduce, availability to efficient transport is also an essential necessity. These conflicting requirements on transportation calls for a more holistic approach to traffic analysis, and  to understand the relation between these effects from the traffic. This work investigates properties of traffic, such as the exposure of noise emissions, the vehicle-specific energy demand and duration, to analyse the sustainability of transport. The traffic simulation software SUMO is used to provide a discrete traffic model with individual vehicles, combined with the European vehicle noise source model IMAGINE used to model discrete sound sources that allow for directivity in the sound field and is speed- as well as acceleration-dependent. The resulting cost related to the exposure of noise is then evaluated at several measurement points in the network using a willingness-to-pay (WTP) model. This allows for an analysis of the relation between noise exposure cost and energy efficiency through the estimation of the vehicle-specific energy demand. A time-varying traffic demand is added to analyse the effects of a varying traffic density and congestion to the relation between the different properties. Additionally, the concept of allocating the noise exposure cost down to individual vehicles by means of contributed acoustic energy is expanded to take the main contributing vehicles and time-segments into consideration, and to allow for a non-linear weighting factor. These allocation strategies also allow for a bias to assign a higher cost to noisier vehicles, as vehicles that contribute more to the overall noise exposure than others may be more easily identified. Lastly, the relation between the traffic properties are analysed by means of correlation. Initial studies indicate that the correlation is dependent on the traffic density and the amount of vehicle interaction.
Trafikbuller är en av de största miljöproblemen idag. Invånare i stadsmiljöer är särskilt utsatta, där nära 80 miljoner personer i Europeiska Unionen är utsatta för bullernivåer som överskrider Världshälsoorganisationens (WHO) angivna gränsvärden. Medan de hälso-relaterade effekterna från exponering av buller är på en ohållbar nivå och bör reduceras, så är även tillgänglighet till effektiv transport en nödvändighet. Dessa motstridiga krav på transportnätverket kräver en mer holistisk syn på trafikanalys, för att förstå relationen mellan dessa effekter från trafiken. Detta arbete undersöker de effekter som uppstår från trafiken, såsom bullerexponering, det fordons-specifika energibehovet och tiden i trafiken, för att analysera hållbarhetsaspekter för transporter. I detta arbete används trafiksimuleringsprogrammet SUMO för att erhålla en diskret trafikmodell med individuella fordon, i kombination med den europeiska fordonsbullermodellen IMAGINE som används för att modellera diskreta bullerkällor som tar hänsyn till direktivitet i ljudfältet samt fart- och accelerationsberoende. Den resulterande kostnaden för bullerexponeringen beräknas därefter för ett stort antal mätpunkter i nätverket genom en modell för betalningsvilja (WTP). Detta tillåter en analys av förhållandet mellan kostnad från bullerexponering och energieffektivitet baserat på det fordonsspecifika energibehovet. Ett tidsvarierande trafikflöde läggs på för att analysera effekterna från en varierande trafiktäthet och trängsel på förhållandet mellan de olika egenskaperna. Dessutom expanderas konceptet att allokera den buller-relaterade kostnaden ner till enskilda fordon baserat på deras enskilda bullerbidrag. Detta för att potentiellt kunna allokera en större del av den totala kostnaden till fordon som bidrar särskilt mycket till den totala bullernivån eller till särskilda tidsegment med höga bullernivåer, samt att tillåta en ickelinjär viktfunktion. Dessa allokeringsstrategier ger också möjligheten att allokera en högre kostnad till bullriga fordon, då fordon som bidrar mer till den totala bullernivån kan lättare identifieras. Slutligen analyseras förhållandet mellan trafikegenskaperna utifrån korrelation. Inledande studier visar att korrelationen beror på trafiktätheten och mängden fordonsinteraktion i trafiken.
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Mercier, Magali. "Étude de différents aspects des EDP hyperboliques : persistance d’onde de choc dans la dynamique des fluides compressibles, modélisation du trafic routier, stabilité des lois de conservation scalaires." Thesis, Lyon 1, 2009. http://www.theses.fr/2009LYO10246/document.

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On étudie dans ce travail des systèmes de lois de conservation hyperboliques. La première partie étudie le temps d'existence des solutions régulières et régulières par morceaux de la dynamique des fluides compressibles. Après avoir présenté l'état de l'art en matière de solutions régulières, on montre une extension d'un théorème de Grassin à des gaz de Van der Waals. On étudie ensuite les solutions ondes de chocs : on poursuit l'approche de T. T. Li pour estimer leur temps d'existence dans le cas isentropique à symétrie sphérique, et l'approche de Whitham afin d'obtenir une équation approchée vérifiée par la surface de discontinuité. Dans une deuxième partie, motivée par la modélisation d'un rond-point en trafic routier, on étudie une extension multi-classe du modèle macroscopique de Lighthill-Whitham-Richards sur une route infinie avec des jonctions. On différencie les véhicules selon leur origine et leur destination et on introduit des conditions aux bords adaptées au niveau des jonctions. On obtient existence et unicité d'une solution au problème de Riemann pour ce modèle. Des simulations numériques attestent que les solutions obtenues existent en temps long. On aborde enfin le problème de Cauchy par la méthode de front tracking. La dernière partie concerne les lois de conservation scalaires. La première question abordée est le contrôle de la variation totale de la solution et la stabilité des solutions faibles entropiques par rapport au flux et à la source. Ce résultat nous permet d'étudier des équations avec flux non-local. Une fois établi leur caractère bien posé, on montre la Gâteaux-différentiabilité du semi-groupe obtenu par rapport aux conditions initiales
In this work, we study hyperbolic systems of balance laws. The first part is devoted to compressible fluid dynamics, and particularly to the lifespan of smooth or piecewise smooth solutions. After presenting the state of art, we show an extension to more general gases of a theorem by Grassin.We also study shock waves solutions: first, we extend T. T. Li's approach to estimate the time of existence in the isentropic spherical case; second, we develop Whitham's ideas to obtain an approximated equation satisfied by the discontinuity surface. In the second part, we set up a new model for a roundabout. This leads us to study a multi-class extension of the macroscopic Lighthill-Whitham-Richards' model. We study the traffic on an infinite road, with some points of junction. We distinguish vehicles according to their origin and destination and add some boundary conditions at the junctions. We obtain existence and uniqueness of a weak entropy solution for the Riemann problem. As a complement, we provide numerical simulations that exhibit solutions with a long time of existence. Finally, the Cauchy problem is tackled by the front tracking method. In the last part, we are interested in scalar hyperbolic balance laws. The first question addressed is the control of the total variation and the stability of entropy solutions with respect to flow and source. With this result, we can study equations with non-local flow, which do not fit into the framework of classical theorems. We show here that these kinds of equations are well posed and we show the Gâteaux-differentiability with respect to initial conditions, which is important to characterize maxima or minima of a given cost functional
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Wan, Fengdan. "Traffic modeling and performance analysis for IPTV systems." Thesis, 2008. http://hdl.handle.net/1828/1057.

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Internet protocol TV (IPTV) is predicted to be the key technology winner in the future. It has, however, stringent quality of service (QoS) requirements. When IPTV traffic shares the network resources with other traffic like data and voice, how to ensure their QoS and efficiently utilize the network resources is a key and challenging issue. In this thesis, Class based queueing (CBQ) is suggested to deploy at the bottleneck router to allow heterogeneous traffic share network resources fairly and efficiently. Then, we propose a two-level Markovian video traffic model and develop a fluid flow based analytical framework to quantify the performance of IPTV systems and derive the admission regions to ensure the QoS of IPTV traffic. The proposed two-level Markovian traffic model exploits both the temporal and spatial complexity of video traffic. The model can easily be incorporated to network simulators. The fidelity of the proposed video model and the effectiveness of the analytical framework are verified by network simulations driven by real video traces. Given the traffic model, a fluid flow based analytical framework is developed to study the queueing behaviors of IPTV traffic in wired, single-hop and multi-hop wireless networks. The analytical results provide insights in how traffic characteristics and network parameters affect the network performance. To ensure the QoS of heterogeneous traffic, admission regions of a wired or wireless bottleneck, with or without CBQ are obtained. The simulation and analytical results both illustrate that time-varying wireless link accommodates much less IPTV connections than the wired link with fixed data rate. The variations of both the incoming traffic arrival rate and the outgoing service rate affect the network performance and admission region. Therefore, it is recommended to deploy proper traffic shaping and resource management schemes in order to support IPTV traffic more efficiently.
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Book chapters on the topic "Fluid traffic modeling"

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Kumar, V. Varun, Alankrita Kakati, Mousumi Das, Aarhisreshtha Mahanta, Puli Gangadhara, Chandrajit Choudhury, and Fazal A. Talukdar. "Modeling Indian Road Traffic Using Concepts of Fluid Flow and Reynold’s Number for Anomaly Detection." In Lecture Notes in Electrical Engineering, 525–39. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-5078-9_43.

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Knudsen, Henning Arendt, Bjørnar Sandnes, Eirik Grude Flekkøy, and Knut Jørgen Måløy. "Modelling and Simulation of a Maze-Forming Process in Granular-Fluid Systems." In Traffic and Granular Flow ’07, 603–8. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-77074-9_65.

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Beyki, Shahab Mohammad, Aldina Santiago, Luís Laím, and Helder D. Craveiro. "Wildfire and evacuation simulation: An overview of research, development, and practice." In Advances in Forest Fire Research 2022, 815–21. Imprensa da Universidade de Coimbra, 2022. http://dx.doi.org/10.14195/978-989-26-2298-9_124.

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Wildfires have been growing dramatically over the past decades due to climate changes, global warming, droughts and forest landscape, and vegetation changes. Increasing losses due to wildfires have been a significant concern; therefore, protective measures are being taken to mitigate the risk of health hazards and even deaths. This paper assesses and reviews the approaches to fire spread and propagation simulation to predict the fire spread characteristics. These simulations are essential to determine the evacuation necessity and requirement. The assessment of evacuation triggers is investigated according to the available literature and studies on simulation and computational fluid dynamic (CFD) modeling of wildfire and fire spread are reviewed. In addition, the modeling and simulation of evacuation decisions, residents' evacuation, traffic patterns, and the evacuation trigger models are presented and discussed. All mentioned simulations are modeled on different scales, i. e. microscale, mesoscale and macroscale, based on the desired criteria assessment of each case study. These approaches are distinguished basically by their ability to model an area of certain extent, i. e. scale, and their accuracy in attaining the desired, analysis, data and prediction, i. e. detail level, and selecting one approach over the others is always a trade-off between these two criteria.
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Conference papers on the topic "Fluid traffic modeling"

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Zargarinejad, Rahil, Mohammad Taghi Hamidi Beheshti, and Mehdi Teimouri. "Fluid modeling for GPRS uplink traffic." In 2009 41st Southeastern Symposium on System Theory (SSST). IEEE, 2009. http://dx.doi.org/10.1109/ssst.2009.4806794.

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Huang, Bo, Chunxia Zhao, and Yamin Sun. "Modeling of Urban Traffic Systems Based on Fluid Stochastic Petri Nets." In 2008 Fourth International Conference on Natural Computation. IEEE, 2008. http://dx.doi.org/10.1109/icnc.2008.90.

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Li, Jingyu, and Qiqiang Li. "Modeling of Urban Traffic System Based on Dynamic Stochastic Fluid Petri Net." In 2008 Workshop on Power Electronics and Intelligent Transportation System. IEEE, 2008. http://dx.doi.org/10.1109/peits.2008.82.

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Wright, Matthew A., Roberto Horowitz, and Alex A. Kurzhanskiy. "A Dynamic-System-Based Approach to Modeling Driver Movements Across General-Purpose/Managed Lane Interfaces." In ASME 2018 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/dscc2018-9125.

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To help mitigate road congestion caused by the unrelenting growth of traffic demand, many transportation authorities have implemented managed lane policies, which restrict certain freeway lanes to certain types of vehicles. It was originally thought that managed lanes would improve the use of existing infrastructure through demand-management behaviors like carpooling, but implementations have often been characterized by unpredicted phenomena that are sometimes detrimental to system performance. The development of traffic models that can capture these sorts of behaviors is a key step for helping managed lanes deliver on their promised gains. Towards this goal, this paper presents an approach for solving for driver behavior of entering and exiting managed lanes at the macroscopic (i.e., fluid approximation of traffic) scale. Our method is inspired by recent work in extending a dynamic-system-based modeling framework from traffic behaviors on individual roads, to models at junctions, and can be considered a further extension of this dynamic-system paradigm to the route/lane choice problem. Unlike traditional route choice models that are often based on discrete-choice methods and often rely on computing and comparing drivers’ estimated travel times from taking different routes, our method is agnostic to the particular choice of physical traffic model and is suited specifically towards making decisions at these interfaces using only local information. These features make it a natural drop-in component to extend existing dynamic traffic modeling methods.
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Gautam, Prashanta, and Abhilash J. Chandy. "Understanding Tire Acoustics Through Computational Fluid Dynamics (CFD) of Grooves With Deforming Walls." In ASME 2015 Noise Control and Acoustics Division Conference at InterNoise 2015. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/ncad2015-5917.

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Reducing tire noise has been a topic of increased focus in the recent years in industrial countries in order to decrease road traffic noise. Computational fluid dynamics (CFD) simulations conducted using ANSYS FLUENT are presented here to provide a better understanding of the small-scale noise generation mechanisms due to air-pumping at the tire-road interface. The CFD model employs a large eddy simulation (LES) turbulence modeling approach, where the filtered compressible Navier-Stokes equations are solved for simple groove geometries with a moving bottom wall that represents the deformation due to the tire movement along the road surface. A horizontally moving wall is used to represent the motion of the tire groove in and out of the contact patch while the deformation of the groove is prescribed. Temporal and spatially accurate pressure fluctuations are utilized to determine sound pressure levels and dominant frequencies. In addition to an understanding of noise generation mechanisms in such grooves, the CFD model developed here can potentially provide a series of control parameters that can help optimize the tire performance in terms of tire acoustics.
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Rosenberger, G. Walter, Brian J. Dumont, and Corey T. Pasta. "An Approach to Wind Blow-Over Risk Reduction at Norfolk Southern Rwy." In ASME 2010 Rail Transportation Division Fall Technical Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/rtdf2010-42029.

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A paper written for and presented at the ASME 2010 Joint Rail Conference explored the science and methodology that BNSF Railway has taken to avoid wind-caused derailments.1 This paper further develops this topic with the approach Norfolk Southern Corp (NS) has taken. The foundational fluid flow dynamics and vehicle dynamics modeling and analysis are reviewed. The modeling included doublestack platforms loaded with empty boxes, trailer-on-flatcar (“piggyback”) equipment, high-cube boxcars, hoppers/coal gondolas, and multilevel (“autorack”) flatcars. The implementation of the modeling is outlined as a description of NS’ Speed Restriction System (SRS). The SRS uses real-time weather data and a lookup table of vehicle responses to provide the traffic controller (dispatcher) with recommended train speeds. Thoughts and suggestions on further development of a blowover risk reduction system are presented.
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Dayanandan, S., and M. Damodaran. "Computation of Ventilation Aerodynamics in Singapore’s Kallang Paya Lebar Expressway Underground Tunnel." In ASME 2003 International Mechanical Engineering Congress and Exposition. ASMEDC, 2003. http://dx.doi.org/10.1115/imece2003-42388.

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This work is concerned with the development and application of a computational fluid dynamics based model for predicting all possible ventilation aerodynamic flow, pollution and fire scenarios in an underground road tunnel that is being constructed in Singapore. This work addresses flow modeling for the underground road tunnel ventilation studies, pollution and fire modeling studies and presents the computed results and discussion pertaining to the estimation of pollution levels in the underground road tunnel during a simulated traffic jam and the simulation of vehicular fires in the tunnel and the management and control of a simulated fire in the tunnel by operating flow conditioning and ventilation systems. The model can serve as a tool for enabling the engineers to perform scenario planning for effective design and control of the ventilation inside the tunnel.
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Abbessi, Wassim, and Hedi Nabli. "GoP-based fluid Markovian modelling of video traffic." In 2010 Second International Conference on Communications and Networking (ComNet). IEEE, 2010. http://dx.doi.org/10.1109/comnet.2010.5699804.

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Nakhla, H. K., and B. E. Thompson. "Calculation of Debris Trajectories During High-Speed Snowplowing." In ASME 2002 Joint U.S.-European Fluids Engineering Division Conference. ASMEDC, 2002. http://dx.doi.org/10.1115/fedsm2002-31429.

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An engineering model is presented to calculate the trajectory of airborne debris that adversely affects visibility during high-speed snow plowing. Reynolds-averaged Navier-Stokes equations are solved numerically with turbulence-modeling, particle-tracking, and cutting-edge approximations. Results suggest snow can be divided into splash and snow-cloud when designing treatments to improve visibility for snowplow drivers and following traffic. Calculated results confirm the findings of windtunnel and road tests, specifically that the trap angle of overplow deflectors should be less than 50 degrees to eliminate snow debris blowing over top of the plow onto the windscreen.
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Moussafir, J., C. Olry, M. Nibart, A. Albergel, P. Armand, C. Duchenne, F. Mahé, L. Thobois, S. Loaëc, and O. Oldrini. "AIRCITY: A Very High Resolution Atmospheric Dispersion Modeling System for Paris." In ASME 2014 4th Joint US-European Fluids Engineering Division Summer Meeting collocated with the ASME 2014 12th International Conference on Nanochannels, Microchannels, and Minichannels. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/fedsm2014-21820.

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The AIRCITY project, partly funded by the European Union, is now successfully achieved. It aimed at developing a 4D innovative numerical simulation tool dedicated to the dispersion of traffic-induced air pollution at local scale on the whole urban area of PARIS. AIRCITY modeling system is based on PMSS (Parallel-Micro-SWIFT-SPRAY) software, which has been developed by ARIA Technologies in close collaboration with CEA and MOKILI. PMSS is a simplified CFD solution which is an alternative to micro-scale simulations usually carried out with full-CFD. Yet, AIRCITY challenge was to model the flow and pollutant dispersion with a 3 m resolution over the whole city of Paris covering a 14 km × 11,5 km domain. Thus, the choice was to run a mass-consistent diagnostic flow model (SWIFT) associated with a Lagrangian Particle Dispersion Model (SPRAY) on a massively parallel architecture. With a 3 m resolution on this huge domain, parallelization was applied to the computation of both the flow (by domain splitting) and the Lagrangian dispersion (management of particles is split over several processors). This MPI parallelization is more complex but gives a large flexibility to optimize the number of CPU, the available RAM and the CPU time. So, it makes possible to process arbitrarily large domains (only limited by the memory of the available nodes). As CEA operates the largest computing center in Europe, with parallel machines ranging from a few hundred to several thousand cores, the modeling system was tested on huge parallel clusters. More usual and affordable computers with a few tens of cores were also utilized during the project by ARIA Technologies and by AIRPARIF, the Regional Air Quality Management Board of Paris region, whose role was also to build the end-users requirements. These computations were performed on a simulation domain restricted to the hypercenter of Paris with dimensions around 2 km × 2 km (at the same resolution of 3 m). The focus was on the improvements needed to adapt simulation codes initially designed for emergency response to urban air quality applications: • Coupling with the MM5 / CHIMERE operational photochemical model at AIRPARIF (as the forecast background), • Turbulence generated by traffic / coupling with traffic model, • Inclusion of chemical reactions / Interaction with background substances (especially NO / NO2). Finally, in-depth validation of the modeling system was undertaken using both the routine air quality measurements in Paris (at four stations influenced by the road traffic) and a field experiment specially arranged for the project, with LIDARs provided by LEOSPHERE Inc. Comparison of PMSS and measurements gave excellent results concerning NO / NO2 and PM10 hourly concentrations for a monthly period of time while the LIDAR campaign results were also promising. In the paper, more details are given regarding the modeling system principles and developments and its validation. Perspectives of the project will also be discussed as AIRCITY system. The TRL must now be elevated from a demonstration to a robust and systematically validated modeling tool that could be used to predict routinely the air quality in Paris and in other large cities around the world.
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