0507178 20240111141022.020190801235959.9 85073104783 Modeling of passenger demand using mixture of Poisson components 8 s. C cav_un_epca*0507177978-989-758-380-3Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2019)Volume 1617-624SetubalSCITEPRESS2019GusikhinOlegMadaniKuroshZaytoonJanan mixture estimation Poisson components Passenger demand cav_un_auth*0349960 Petrouš Matej UTIA-B Zpracování signálů Department of Signal Processing ZS ZS Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0355927 Suzdaleva Evženie UTIA-B Zpracování signálů Department of Signal Processing ZS ZS Department of Signal Processing RU Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101167 Nagy Ivan UTIA-B Zpracování signálů Department of Signal Processing ZS ZS Department of Signal Processing Ústav teorie informace a automatizace AV ČR, v. v. i. pdf http://library.utia.cas.cz/separaty/2019/ZS/suzdaleva-0507178.pdf cav_un_auth*0351997 8A17006 GA MŠk CZ The paper deals with the problem of modeling the passenger demand in the tram transportation network. The passenger demand on the individual tram stops is naturally influenced by the number of boarding and disembarking passengers, whose measuring is expensive and therefore they should be modeled and predicted. A mixture of Poisson components with the dynamic pointer estimated by recursive Bayesian estimation algorithms is used to describe the mentioned variables, while their prediction is solved with the help of the Poisson regression. The main contributions of the presented approach are: (i) the model of the number of boarding and disembarking passengers. (ii) the real-time data incorporation into the model. (iii) the recursive estimation algorithm with the normal approximation of the proximity function. The results of experiments with real data and the comparison with theoretical counterparts are demonstrated. cav_un_auth*0377849 International Conference on Informatics in Control, Automation and Robotics (ICINCO 2019) /16./ 20190729 20190731 Prague CZ BB 10000 10100 10103 2020 3 PR RVO:67985556 http://hdl.handle.net/11104/0298563 S 2019 85073104783 SCOPUS PUBMED WOS pdf cav_un_epca*0507177 Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2019) Volume 1 SCITEPRESS 2019 Setubal 617 624 978-989-758-380-3 340 Gusikhin Oleg 340 Madani Kurosh 340 Zaytoon Janan