Research of Prognostic Abilities of Local Model of Controlled Process for Traffic Forecasting
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F75081431%3A_____%2F20%3A00002342" target="_blank" >RIV/75081431:_____/20:00002342 - isvavai.cz</a>
Výsledek na webu
<a href="https://www.sciencedirect.com/science/article/pii/S2352146520300624" target="_blank" >https://www.sciencedirect.com/science/article/pii/S2352146520300624</a>
DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Research of Prognostic Abilities of Local Model of Controlled Process for Traffic Forecasting
Popis výsledku v původním jazyce
"The problem of traffic forecasting is analyzed. It is shown that the characteristic feature of transport flows is their nonstationarity. Prognostication of traffic by synthesis of local model of controlled process (LMCP) is proposed and the forecasting method is presented. The advantages of LMCP are the simplicity of mathematical apparatus and the possibility of organizing control in conditions of complexity, uncertainty and non-stationarity of the controlled process. The active accumulation of information about the controlled process in the process of LMCP synthesizing allows to reduce the problem of forecasting with known input and output and unknown external influences to the problem of forecasting with known input and output and absence of external influences, regardless of their number. Therefore, the offered method allows real time traffic forecasting, without the need for preliminary accumulation, processing and analysis of large amounts of data. The obtained results can be used to solution of practical problems arising in traffic control, in particular, to increase the throughput of highways, to reduce congestions and accelerate transport flows."
Název v anglickém jazyce
Research of Prognostic Abilities of Local Model of Controlled Process for Traffic Forecasting
Popis výsledku anglicky
"The problem of traffic forecasting is analyzed. It is shown that the characteristic feature of transport flows is their nonstationarity. Prognostication of traffic by synthesis of local model of controlled process (LMCP) is proposed and the forecasting method is presented. The advantages of LMCP are the simplicity of mathematical apparatus and the possibility of organizing control in conditions of complexity, uncertainty and non-stationarity of the controlled process. The active accumulation of information about the controlled process in the process of LMCP synthesizing allows to reduce the problem of forecasting with known input and output and unknown external influences to the problem of forecasting with known input and output and absence of external influences, regardless of their number. Therefore, the offered method allows real time traffic forecasting, without the need for preliminary accumulation, processing and analysis of large amounts of data. The obtained results can be used to solution of practical problems arising in traffic control, in particular, to increase the throughput of highways, to reduce congestions and accelerate transport flows."
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
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OECD FORD obor
50703 - Transport planning and social aspects of transport (transport engineering to be 2.1)
Návaznosti výsledku
Projekt
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Návaznosti
V - Vyzkumna aktivita podporovana z jinych verejnych zdroju
Ostatní
Rok uplatnění
2020
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
Transportation Research Procedia
ISBN
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ISSN
2352-1457
e-ISSN
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Počet stran výsledku
386
Strana od-do
78-85
Název nakladatele
Elsevier B.V., Radarweg 29, 1043 NX Amsterdam, The Netherlands
Místo vydání
Amsterdam, The Netherlands
Místo konání akce
České Budějovice, Czech Republic
Datum konání akce
14. 11. 2019
Typ akce podle státní příslušnosti
EUR - Evropská akce
Kód UT WoS článku
000573715500012