Traffic speed prediction using hidden markov models for Czech Republic highways

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F16%3A86098876" target="_blank" >RIV/61989100:27240/16:86098876 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/61989100:27740/16:86098876

Výsledek na webu

<a href="http://dx.doi.org/10.1007/978-3-319-39883-9_15" target="_blank" >http://dx.doi.org/10.1007/978-3-319-39883-9_15</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-39883-9_15" target="_blank" >10.1007/978-3-319-39883-9_15</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Traffic speed prediction using hidden markov models for Czech Republic highways

Popis výsledku v původním jazyce

One of the main tasks of Intelligent Transportation Systems is to predict state of the traffic fromshort tomedium horizon. This prediction can be used to manage the traffic both to prevent the traffic congestions and to minimize their impact. This information is also useful for route planning. This prediction is not an easy task given that the traffic flow is very difficult to describe by numerical equations. Other possible approach to traffic state prediction is to use historical data about the traffic and relate them to the current state by application of some form of statistical approach. This task is, however, complicated by complex nature of the traffic data, which can, due to various reasons, be quite inaccurate. The paper is focused on finding the algorithms that can exploit valuable information contained in traffic data from Czech Republic highways to make a short term traffic speed predictions. Our proposed algorithm is based on hidden Markov models (HMM), which can naturally utilize data sources from Czech Republic highways. (C) Springer International Publishing Switzerland 2016.

Název v anglickém jazyce

Traffic speed prediction using hidden markov models for Czech Republic highways

Popis výsledku anglicky

One of the main tasks of Intelligent Transportation Systems is to predict state of the traffic fromshort tomedium horizon. This prediction can be used to manage the traffic both to prevent the traffic congestions and to minimize their impact. This information is also useful for route planning. This prediction is not an easy task given that the traffic flow is very difficult to describe by numerical equations. Other possible approach to traffic state prediction is to use historical data about the traffic and relate them to the current state by application of some form of statistical approach. This task is, however, complicated by complex nature of the traffic data, which can, due to various reasons, be quite inaccurate. The paper is focused on finding the algorithms that can exploit valuable information contained in traffic data from Czech Republic highways to make a short term traffic speed predictions. Our proposed algorithm is based on hidden Markov models (HMM), which can naturally utilize data sources from Czech Republic highways. (C) Springer International Publishing Switzerland 2016.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2016

Kód důvěrnosti údajů

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

Název statě ve sborníku

Smart Innovation, Systems and Technologies

ISBN

978-3-319-39882-2

ISSN

2190-3018

e-ISSN

—

Počet stran výsledku

10

Strana od-do

187-196

Název nakladatele

Springer Science and Business Media Deutschland GmbH

Místo vydání

Berlin

Místo konání akce

Puerto de la Cruz

Datum konání akce

15. 6. 2016

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000389808300015