Traffic speed prediction using hidden markov models for Czech Republic highways

Result code in 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>
Alternative codes found
RIV/61989100:27740/16:86098876
Result on the web
<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>

Result language
angličtina
Original language name
Traffic speed prediction using hidden markov models for Czech Republic highways
Original language description
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.
Czech name
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Czech description
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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)

Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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