… In all of the cases we tested against VISSIM and FREEVAL we observe improved model
parameterization and reduced errors for the information based approach we propose in this …

… align with their expected behavior predicted by their car-following models. The results show
that the effective penetration rate can be increased by around 20 – 30 % using this method, …

… the data assimilation framework, and integrating traffic data … -car data) in the data assimilation
framework to improve the … framework with urban traffic control strategies to improve the …

… kernels formulated by data driven approaches can better capture the … traffic prediction in
a given road link (or a freeway) of few miles over a period of few hours. Such data assimilation …

… of sample-based methods that use Bayesian inference and stochastic sampling techniques
to … Finally, to improve the robustness of data assimilation, in this tutorial example we employ …

… traffic models; we also briefly review the data assimilation … These filters estimate the
Bayesian prior and posterior … that the performance of data assimilation is improved by moving a …

… Our proposal agrees better with simulated benchmark traffic states than deterministic VT …
data and a traffic flow model for assimilating data [2]. Among the many data assimilation models …

… adjusting the parameters of a simulation model to make it better model a system under study.
… community, the work of Hu 22 offers a tutorial on Bayesian sequential data assimilation and …

… based on Bayesian theory have been applied in some short-term traffic state … -term traffic
flow data are always corrupted by local noises. To improve the accuracy of assimilation models …

… a Bayesian inference methodology to directly update the parameters of the probabilistic model
of bridge traffic … the micro-simulation models, the traffic load effects increase by 5 ∼ 10%. …