State-of-the-art crowd motion simulation models

2013 ◽  
Vol 37 ◽  
pp. 193-209 ◽  
Author(s):  
Dorine C. Duives ◽  
Winnie Daamen ◽  
Serge P. Hoogendoorn
Keyword(s):  
State Of The Art ◽  
Simulation Models ◽  
Motion Simulation ◽  
Crowd Motion

scholarly journals Using Semantic Technology To Model Persona For Adaptable Agents

2021 ◽  
Author(s):  
Johannes Nguyen ◽  
Thomas Farrenkopf ◽  
Michael Guckert ◽  
Simon T. Powers ◽  
Neil Urquhart
Keyword(s):  
Road Traffic ◽  
State Of The Art ◽  
Software Agents ◽  
Simulation Models ◽  
Agent Model ◽  
Semantic Technology ◽  
Art Research

In state of the art research a growing interest in the application of agent models for the simulation of road traffic can be observed. Software agents are particularly suitable for the representation of travellers and their goal-oriented behaviour. Although numerous applications based on these types of models are already available, the options for modelling and calibration of the agents as goal-oriented individuals are either simplified to aggregated parameters or associated with overly complex and opaque implementation details. This makes it difficult to reuse available simulation models. In this paper, we demonstrate how the combination of persona models together with semantic methods can be applied to achieve a well-structured agent model that allows for improved reusability.

RELAP5/MOD3 Code Verification Through PWR Pressure Vessel Small Break LOCA Tests in OECD/NEA ROSA Project

2008 ◽  
Author(s):  
Hideo Nakamura ◽  
Tadashi Watanabe ◽  
Takeshi Takeda ◽  
Hideaki Asaka ◽  
Masaya Kondo ◽  
...  
Keyword(s):  
State Of The Art ◽  
Simulation Models ◽  
Predictive Capability ◽  
Experimental Conditions ◽  
Energy Agency ◽  
Test Analysis ◽  
Post Test ◽  
Complex Phenomena ◽  
Reactor Accidents ◽  
Relap5 Code

The Japan Atomic Energy Agency (JAEA) started OECD/NEA ROSA Project in 2005 to resolve issues in the thermal-hydraulic analyses relevant to LWR safety through the experiments of ROSA/LSTF in JAEA. More than 17 organizations from 14 NEA member countries have joined the Project. The ROSA Project intends to focus on the validation of simulation models and methods for complex phenomena that may occur during DBEs and beyond-DBE transients. Twelve experiments are to be conducted in the six types. By utilizing the obtained data, the predictability of codes is validated. Nine experiments have been performed so far in the ROSA Project to date. The results of two out of these experiments; PV top and bottom small-break (SB) LOCA simulations are studied here, through comparisons with the results from pre-test and post-test analyses by using the RELAP5/MOD3.2 code as a typical and well-utilized/improved best estimate (BE) code. The experimental conditions were defined based on the pre-test (blind) analysis. The comparison with the experiment results may clearly indicate a state of the art of the code to deal with relevant reactor accidents. The code predictive capability was verified further through the post-test analysis. The obtained issues in the utilization of the RELAP5 code are summarized as well as the outline of the ROSA Project.

Simulation of frequency tracking loops with complex targets

SIMULATION ◽  
1967 ◽  
Vol 8 (2) ◽  
pp. 111-115
Author(s):  
J.O. Engle ◽  
C.J. Nisson
Keyword(s):  
Signal Processing ◽  
State Of The Art ◽  
Simulation Models ◽  
Council Meeting ◽  
Frequency Tracking ◽  
Modern Equipment ◽  
Tracking Loops ◽  
Simple Picture

This paper was written for the analog user to relate some of our experience in the area of signal processing (in this case signal processing by a radar receiver) to fit the theme of the Eastern Simulation Council meeting at which it was presented. "In the paper we attempted to give a complete but simple picture; by describing the signals and system, de veloping the simulation models, instrumenting the models with available computing equipment and finally by dis cussing simulation difficulties. (We wish that we had more modern equipment so that the instrumentation, particu larly of the dc models, could be more significant relative to state-of-the-art.)"

MODELING ELECTRON TRANSPORT IN MOSFET DEVICES: EVOLUTION AND STATE OF THE ART

2003 ◽  
Vol 13 (03) ◽  
pp. 701-725 ◽  
Author(s):  
ANTONIO ABRAMO
Keyword(s):  
Electron Transport ◽  
Information Technologies ◽  
Carrier Transport ◽  
State Of The Art ◽  
Simulation Models ◽  
The State ◽  
Transport Modeling ◽  
Simulation Tools ◽  
Device Optimization ◽  
Highly Skilled

The progress of silicon technologies we have witnessed in the last twenty years has traced the path to the unprecedented revolution of information technologies, which has changed almost everybody's lifestyles. Apparently, this has happened with a little big help from TCAD tools. Big, because few major advancements have been achieved through the clever exploitation of non-conventional simulation tools, and because everyday device optimization deeply relies on TCAD tools. Little, because the qualitative feeling is that the technology would have progressed anyway, through the work of many highly-skilled technology experts, even without simulation guidelines. The purpose of this paper is to review the state-of-the-art of the field of the transport modeling of electron devices, trying to grasp the essence of the most relevant simulation models proposed so far, whence to contribute to spur the activity on the fundamental modeling of carrier transport.

scholarly journals An Evaluation of Decadal Probability Forecasts from State-of-the-Art Climate Models

2013 ◽  
Vol 26 (23) ◽  
pp. 9334-9347 ◽  
Author(s):  
Emma B. Suckling ◽  
Leonard A. Smith
Keyword(s):  
Climate Models ◽  
State Of The Art ◽  
Simulation Models ◽  
Empirical Models ◽  
Regular Component ◽  
Climate Services ◽  
Global Mean Temperature ◽  
Operational Forecasts ◽  
Earth’S Climate ◽  
Global Mean

While state-of-the-art models of Earth's climate system have improved tremendously over the last 20 years, nontrivial structural flaws still hinder their ability to forecast the decadal dynamics of the Earth system realistically. Contrasting the skill of these models not only with each other but also with empirical models can reveal the space and time scales on which simulation models exploit their physical basis effectively and quantify their ability to add information to operational forecasts. The skill of decadal probabilistic hindcasts for annual global-mean and regional-mean temperatures from the EU Ensemble-Based Predictions of Climate Changes and Their Impacts (ENSEMBLES) project is contrasted with several empirical models. Both the ENSEMBLES models and a “dynamic climatology” empirical model show probabilistic skill above that of a static climatology for global-mean temperature. The dynamic climatology model, however, often outperforms the ENSEMBLES models. The fact that empirical models display skill similar to that of today's state-of-the-art simulation models suggests that empirical forecasts can improve decadal forecasts for climate services, just as in weather, medium-range, and seasonal forecasting. It is suggested that the direct comparison of simulation models with empirical models becomes a regular component of large model forecast evaluations. Doing so would clarify the extent to which state-of-the-art simulation models provide information beyond that available from simpler empirical models and clarify current limitations in using simulation forecasting for decision support. Ultimately, the skill of simulation models based on physical principles is expected to surpass that of empirical models in a changing climate; their direct comparison provides information on progress toward that goal, which is not available in model–model intercomparisons.

scholarly journals Elastic Properties of Porous Media Containing Gas Hydrates

2021 ◽  
pp. 82-89
Author(s):  
А.А. Губайдуллин ◽  
О.Ю. Болдырева ◽  
Д.Н. Дудко
Keyword(s):  
Porous Media ◽  
Elastic Properties ◽  
Laboratory Experiments ◽  
State Of The Art ◽  
Simulation Models ◽  
Theoretical Research ◽  
Porous Space ◽  
Wave Velocities ◽  
Hydrate Saturation ◽  
Experimental And Theoretical Studies

Проведен анализ современного состояния экспериментальных и теоретических исследований упругих свойств гидратосодержащих пористых сред. Сделан вывод о том, что во всех экспериментах установлена связь скоростей упругих волн с содержанием гидрата в поровом пространстве, а именно, наблюдается рост скоростей с увеличением гидратонасыщенности. В области теоретических исследований созданы математические модели упругих модулей гидратосодержащих пористых сред, позволяющие качественно и количественно описать результаты лабораторных опытов. The state-of-the-art experimental and theoretical studies of the elastic properties of porous media containing gas hydrate was analyzed. It is concluded that all the experiments identified a relationship between the elastic wave velocities and the hydrate content in the porous space: the velocities increase with higher hydrate saturation. The theoretical research produced simulation models for estimating the modulus of elasticity of hydrate-containing porous media to qualitatively and quantitatively describe the results of laboratory experiments.

scholarly journals Modeling Pedestrian Motion in Crowded Scenes Based on the Shortest Path Principle

2021 ◽  
Vol 12 (1) ◽  
pp. 381
Author(s):  
Yi Zou ◽  
Yuncai Liu
Keyword(s):  
Shortest Path ◽  
State Of The Art ◽  
Meaningful Work ◽  
Movement Behavior ◽  
Motion Model ◽  
Human Dynamics ◽  
Motion Trajectories ◽  
Crowd Motion ◽  
Crowded Scenes ◽  
Part Motion

In the computer vision field, understanding human dynamics is not only a great challenge but also very meaningful work, which plays an indispensable role in public safety. Despite the complexity of human dynamics, physicists have found that pedestrian motion in a crowd is governed by some internal rules, which can be formulated as a motion model, and an effective model is of great importance for understanding and reconstructing human dynamics in various scenes. In this paper, we revisit the related research in social psychology and propose a two-part motion model based on the shortest path principle. One part of the model seeks the origin and destination of a pedestrian, and the other part generates the movement path of the pedestrian. With the proposed motion model, we simulated the movement behavior of pedestrians and classified them into various patterns. We next reconstructed the crowd motions in a real-world scene. In addition, to evaluate the effectiveness of the model in crowd motion simulations, we created a new indicator to quantitatively measure the correlation between two groups of crowd motion trajectories. The experimental results show that our motion model outperformed the state-of-the-art model in the above applications.

scholarly journals Targeted pandemic containment through identifying local contact network bottlenecks

2021 ◽  
Vol 17 (8) ◽  
pp. e1009351
Author(s):  
Shenghao Yang ◽  
Priyabrata Senapati ◽  
Di Wang ◽  
Chris T. Bauch ◽  
Kimon Fountoulakis
Keyword(s):  
Disease Transmission ◽  
Network Flow ◽  
State Of The Art ◽  
Simulation Models ◽  
Simulation Modelling ◽  
Structural Features ◽  
Contact Network ◽  
Contact Networks ◽  
Edge Betweenness ◽  
Models Of Disease

Decision-making about pandemic mitigation often relies upon simulation modelling. Models of disease transmission through networks of contacts–between individuals or between population centres–are increasingly used for these purposes. Real-world contact networks are rich in structural features that influence infection transmission, such as tightly-knit local communities that are weakly connected to one another. In this paper, we propose a new flow-based edge-betweenness centrality method for detecting bottleneck edges that connect nodes in contact networks. In particular, we utilize convex optimization formulations based on the idea of diffusion with p-norm network flow. Using simulation models of COVID-19 transmission through real network data at both individual and county levels, we demonstrate that targeting bottleneck edges identified by the proposed method reduces the number of infected cases by up to 10% more than state-of-the-art edge-betweenness methods. Furthermore, the proposed method is orders of magnitude faster than existing methods.

scholarly journals State of the art in rockfall – forest interactions

2007 ◽  
Vol 158 (6) ◽  
pp. 128-141 ◽  
Author(s):  
Luuk Dorren ◽  
Frédéric Berger ◽  
Martin Jonsson ◽  
Michael Krautblatter ◽  
Michael Mölk ◽  
...  
Keyword(s):  
Scientific Knowledge ◽  
State Of The Art ◽  
Simulation Models ◽  
Absorption Capacity ◽  
Forest Research ◽  
Energy Absorption Capacity ◽  
Efficient Manner ◽  
Protective Function ◽  
Rockfall Hazard ◽  
Cost Efficient

To effectively prevent rockfall related disasters below forested slopes, silvicultural, eco-engineering, civil engineering or mixed techniques can be used. To do this in a cost-efficient manner it is necessary to know the following:1) where rockfall events occur and which magnitudes are likely, 2) to what extent the forest reduces the run-out distances, the jump heights and the energies of rocks falling downslope, and 3) how the protective function of forests could be improved. This paper gives an overview of the current scientific knowledge and methods that are applied by practitioners who deal with rockfall and forests protecting against it. Efficient ways to derive information on the probable magnitude and frequency of future rockfall events from the source and deposit area are described. Subsequently, the scientific knowledge on the energy absorption capacity of single trees and the currently available knowledge on the protective function of forest stands against rockfall are presented. Then easy-to-use tools and simulation models for rockfall hazard assessment on forested slopes are described. Finally, this paper identifies the most important challenges to be tackled in the field of integrated rockfall-forest research.

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