Bayesian estimation of traffic lane state.

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F03%3A16030021" target="_blank" >RIV/67985556:_____/03:16030021 - isvavai.cz</a>

Alternative codes found

RIV/68407700:21260/03:06093383

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Bayesian estimation of traffic lane state.

Original language description

The paper deals with modelling and estimation by a model described as a mixture of distributions. In this case, the exact application of the Bayes theory adopted is not feasible and its approximation is used. The general algorithm is specified for mixtures with components from exponential family. The theory is demonstrated on estimation of the basic relation between density and intensity of traffic flow in a single point of a vehicular communication and it can provides us with state classification.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

BB - Applied statistics, operational research

OECD FORD branch

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Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2003

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

International Journal of Adaptive Control and Signal Processing

ISSN

0890-6327

e-ISSN

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Volume of the periodical

17

Issue of the periodical within the volume

1

Country of publishing house

GB - UNITED KINGDOM

Number of pages

15

Pages from-to

51-65

UT code for WoS article

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EID of the result in the Scopus database

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