Journal: Procedia Computer Science

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Elsevier

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ISSN

1877-0509

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2010 - 2019392020 - 202517
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Publications 1 - 10 of 56
  • Facilitating Model Reuse and Integration in an Urban Energy Simulation Platform
    Item type: Conference Paper
    Bollinger, L. Andrew; Evins, Ralph (2015)
    Procedia Computer Science
  • Unstructured Mesh Generation from the Virtual Family Models for whole Body Biomedical Simulations
    Item type: Conference Paper
    Szczerba, Dominik; Neufeld, Esra; Zefferer, Marcel; et al. (2010)
    Procedia Computer Science
  • Soft Robotics
    Item type: Conference Paper
    Iida, Fumiya; Laschi, Cecilia (2011)
    Procedia Computer Science ~ Proceedings of the 2nd European Future Technologies Conference and Exhibition 2011 (FET 11)
  • Effects of population sampling on agent-based transport simulation of on-demand services
    Item type: Conference Paper
    Kagho, Grace Orowo; Meli, Jonas; Walser, Dominique; et al. (2022)
    Procedia Computer Science
    Large-scale agent-based simulations require higher computing resources than are usually available. Consequently, many applications rely on downscaling, that is, simulating with smaller population samples in which the results are then scaled. Existing studies have shown a need to investigate the impact of downscaling on the output statistics of such simulations. Downscaling is a common practice in transport modeling. In this study, we investigate the impacts of population downscaling on a ride-sharing service with a focus on vehicle occupancy and wait time, travel time and detour time. Our findings reveal that if transport modelers want to model on-demand services with ride sharing, it is strongly recommended to use a 100% population, or when using a smaller population sample, to estimate the relative biases of their desired metrics compared to the results of a 100% population in order for their results to be applicable for real-world situations.
  • Development of a new urban heat island modelling tool: Kent Vale case study
    Item type: Conference Paper
    Xu, Ming; Bruelisauer, Marcel; Berger, Matthias (2017)
    Procedia Computer Science
    Urban heat island is intensified by anthropogenic activities and heat in conjunction with the built-up urban area, which absorbs more solar radiation during daytime and releases more heat during nighttime than rural areas. Air cooling systems in Singapore, as one of the anthropogenic heat sources, reject heat into the vicinity and consequently affect urban microclimate. In this paper, a new urban heat island modeling tool is developed to simulate stack effect of split type air-conditioners on high rise buildings and solar radiation induced thermal environment. By coupling the Computational Fluid Dynamics (CFD) program with the solar radiation model and perform parallel computing of conjugate heat transfer, the tool ensures both accuracy and efficiency in simulating air temperature and air relative humidity. The annual cycle of sun pathway in Singapore is well simulated and by decreasing the absorptivity or increasing the reflectivity and thermal conductivity of the buildings, the thermal environment around buildings could be improved.
  • Large Scale Simulation of Cloud Cavitation Collapse
    Item type: Conference Paper
    Rasthofer, Ursula; Wermelinger, Fabian; Hadijdoukas, P.; et al. (2017)
    Procedia Computer Science
    We present a high performance computing framework for large scale simulation of compressible multicomponent flows, applied to cloud cavitation collapse. The governing equations are discretized by a Godunov-type finite volume method on a uniform structured grid. The bubble interface is captured by a diffuse interface method and treated as a mixing region of the liquid and gas phases. The framework is based on our Cubism library which enables the efficient treatment of high-order compact stencil schemes that can harness the capabilities of massively parallel computer architectures and allows for processing up to 1013 computational cells. We present validations of our approach on several classical benchmark examples and study the collapse of a cloud of O(103) bubbles.
  • Multi-agent urban transport simulations using OD matrices from mobile phone data
    Item type: Journal Article
    Anda, Cuauhtémoc; Ordoñez Medina, Sergio A.; Fourie, Pieter J. (2018)
    Procedia Computer Science
    Although new available big data sources have revealed themselves to be extraordinarily useful for transport demand modelling, they have not come into widespread use due to the justifiable privacy concerns of data stewards. In this study, we step back and re-evaluate the way in which mobile phone telco data can be introduced for the task of transport and land-use policy evaluation, travel demand forecasting and transport infrastructure testing through large-scale transportation simulations. We investigated that question by deploying a multi-agent transport simulation driven primarily by hourly-aggregated telco Origin-Destination (OD) matrices. We address the principal four challenges: spatial and temporal disaggregation, mode imputation and route choice. For temporal disaggregation, we propose a convolution with an exponential kernel method. As for transport mode imputation, a supervised-learning framework is designed. The simulation results are compared against traffic count data and public transport smart card transactions, showing accurate patterns for private cars but overestimated public transport demand in the morning peak. Lastly, we set the future steps for the improvement of simulations driven by aggregated mobile phone data.
  • Ride-pooling efficiency in large, medium-sized and small towns
    Item type: Conference Paper
    Zwick, Felix; Kuehnel, Nico; Moeckel, Rolf; et al. (2021)
    Procedia Computer Science
    This study introduces an autonomous ride-pooling service to six communities with varying population sizes and trip densities in the Munich Metropolitan Region. We analyze a) a laissez-faire scenario without additional policies, defining the modal shift through an incremental mode choice model and b) a draconian scenario in which each within-city car trip is replaced by ride-pooling. Results indicate a logarithmic increase in system efficiency with increasing trip densities. While the results confirm the potential of ride-pooling systems to reduce private car fleets drastically, a reduction of traveled km is identified for scenarios with more than 1,000 requests per km2 per day.
  • MacroSim
    Item type: Conference Paper
    Bösch, Patrick M.; Ciari, Francesco (2017)
    Procedia Computer Science
    The simulation of large-scale scenarios requires high-performance simulations. MATSim, an agent-based transport simulation, is increasingly reaching limits. The traditional approach is to scale the scenarios, i.e. simulating only 10% of a population instead of 100%. This paper suggests MacroSim, a macroscopic mobility simulation module for MATSim, to overcome the current per- formance limits within MATSim. It uses volume-delay functions to estimate travel times for links based on experienced usages of these links. This allows to decouple agents and thus allows a parallelization of the mobility simulation within MATSim per design. A preliminary implementation of MacroSim showed promising results (7 to 50 times faster than the current mobility simulation depending on the scenario size). Given its limitations - most important no back propagation of traffic congestion - MacroSim is suggested as a complementary mobility simulation to the current implementation for cases where scenario size and simulation performance are more important than precise traffic dynamics.
  • Spatial stabilization strategies applied to multiphysics modeling of blood clotting using a modified PTT model
    Item type: Other Journal Item
    Egger, Julien; Mallik, Ajit S.; Szczerba, Dominik; et al. (2013)
    Procedia Computer Science
Publications 1 - 10 of 56