Bayesian demand calibration for dynamic traffic simulations
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We propose new soft-prior approach for incorporating structural a priori in FDOT reconstruction. The technique is a non-linear regularization scheme based on the penalization of the (2, 1)-mixed norm. We solve the numerical reconstruction problem with an i ...
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We propose new soft-prior approach for incorporating structural a priori in FDOT reconstruction. The technique is a non-linear regularization scheme based on the penalization of the (2, 1)-mixed norm. We solve the numerical reconstruction problem with an ...
The S3-Tools are a set of Python-based routines and interfaces whose purpose is to provide user-friendly access to the SKA Simulated Skies (S3) set of simulations, an effort led by the University of Oxford in the framework of the European Union's SKADS pro ...
We present a systematic study of B-DNA flexibility in aqueous solution using long-scale molecular dynamics simulations with the two more recent versions of nucleic acids force fields (CHARMM27 and parmbsc0) using four long duplexes designed to contain seve ...
Computing realistic routes for a given road network and a known demand of vehicles is one of the most important steps when preparing a road traffic simulation. The approach developed by Christian Gawron in 1998 which we use for this purpose computes a dyna ...
This paper describes how to combine the JADE agent platform with Repast-provided simulation functions for rapidly developing ail environment for the simulation of complex agent model. The main motivation collies from our requirements concerning the simulat ...
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Transport of contaminants in coastal aquifers subject to tidal fluctuation is an important topic in hydrogeology as a consequence of the significant development of human activities near the shoreline. Despite this, relatively little work has been done to i ...
This article presents a computationally efficient technique for the macroscopic (equation-based) network loading of microscopic (simulation-based) travel demand. It combines the expressive power of microsimulations as sampling tools for highly heterogeneou ...
In this paper, we model a spatially varying channel where a source is moving along a random trajectory with respect to a fixed re- ceiver. The aim is to compute the power spectral density corre- sponding to the channel impulse response as a function of tem ...
We present an operational framework for the calibration of demand models for dynamic traffic simulations. Our focus is on disaggregate simulators that represent every traveler individually. We calibrate, at a likewise individual level, arbitrary choice dim ...