GUCHENKOA, Mykola, Natalya SOKHIN, Anton SKALSKY, Ladislav BARTUŠKA a Jiří ČEJKA. Research of Prognostic Abilities of Local Model of Controlled Process for Traffic Forecasting. In Stopková, M., Bartuška, L. Stopka, O. Transportation Research Procedia. Volume 44. Amsterdam, The Netherlands: Elsevier B.V., Radarweg 29, 1043 NX Amsterdam, The Netherlands. s. 78-85, 386 s. ISSN 2352-1457. 2020.
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Základní údaje
Originální název Research of Prognostic Abilities of Local Model of Controlled Process for Traffic Forecasting
Autoři GUCHENKOA, Mykola (garant), Natalya SOKHIN, Anton SKALSKY, Ladislav BARTUŠKA (203 Česká republika, domácí) a Jiří ČEJKA (203 Česká republika, domácí).
Vydání Volume 44. Amsterdam, The Netherlands, Transportation Research Procedia, od s. 78-85, 386 s. 2020.
Nakladatel Elsevier B.V., Radarweg 29, 1043 NX Amsterdam, The Netherlands
Další údaje
Originální jazyk angličtina
Typ výsledku Stať ve sborníku
Obor 50703 Transport planning and social aspects of transport
Stát vydavatele Nizozemské království
Utajení není předmětem státního či obchodního tajemství
Forma vydání tištěná verze "print"
WWW URL
Kód RIV RIV/75081431:_____/20:00002342
Organizační jednotka Vysoká škola technická a ekonomická v Českých Budějovicích
ISSN 2352-1457
UT WoS 000573715500012
Klíčová slova anglicky traffic control; forecasting method; local model of controlled process
Štítky RIV22, TSD_z, WOS
Změnil Změnila: Mgr. Nikola Petříková, učo 28324. Změněno: 20. 3. 2023 17:32.
Anotace
"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."
VytisknoutZobrazeno: 29. 3. 2024 16:37