0348647 20240103194023.920101101235959.9 9 s. cav_un_epca*0348646978-80-970519-0-71-9BratislavaRT Systems s.r.o2010 traffic modelling autoregressive models traffic intensities cav_un_auth*0242543 Dedecius Kamil Adaptivní systémy Department of Adaptive Systems AS AS UTIA-B Department of Adaptive Systems Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101167 Nagy Ivan Adaptivní systémy Department of Adaptive Systems AS AS UTIA-B Department of Signal Processing Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0228606 Hofman Radek Adaptivní systémy Department of Adaptive Systems AS AS UTIA-B Department of Adaptive Systems Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2010/AS/dedecius-modelling of traffic intensities.pdf SGS 10/099/OHK3/1T/16 ČVUT FD CZ ENS/2010/UTIA Škoda Auto a.s. CZ CEZ:AV0Z10750506 The paper concerns the Bayesian modelling of tra c intensities measured in towns and cities. It proposes the use of a normal regressive model of low order, whose parameters (regression coe cients) are estimated using partial forgetting. This method allows to track the time varying parameters and respects the dierent variability rate of the absolute term modelling the mean value. The general theoretical concept of Bayesian modelling and parameter estimation is complemented with the theory related to the normal model in lieu. cav_un_auth*0265027 Technical Computing Bratislava Bratislava 20.10.2010-20.10.2010 SK 2011 BC http://hdl.handle.net/11104/0189106 2010 cav_un_epca*0348646 18th Annual Conference Proceedings, Technical Computing Bratislava 978-80-970519-0-7 1 9 Bratislava RT Systems s.r.o 2010