0453942 20240103211612.120160301235959.9 10 s. P cav_un_epca*0453558978-80-01-05841-147-56PrahaČVUT v Praze2015HobzaT. Hopping particle systems Estimation of hopping rates Intelligent Driver Model cav_un_auth*0101081 Fajfrová Lucie Stochastická informatika Department of Stochastic Informatics SI SI UTIA-B Department of Stochastic Informatics Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0307172 Hrabák Pavel 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/2015/SI/fajfrova-0453942.pdf GAP201/12/2613 GA ČR cav_un_auth*0291241 SGS15/214/OHK4/3T/14 GA CTU CZ cav_un_auth*0325246 Variety of hopping particle systems (ZRP, TASEP, MTP) have been investigated from the point of view of the traffic flow modelling. Such models are characterized by the local hopping rates determining the model dynamics. Several techniques of estimating appropriately the hopping rates from real traffic trajectories are introduced. Properties of corresponding models are discussed. cav_un_auth*0324318 Stochastic and Physical Monitoring Systems (SPMS2015) Drhleny 22.06.2015-27.06.2015 CZ 2016 BA 2 PR RVO:67985556 http://hdl.handle.net/11104/0257730 S 2015 cav_un_epca*0453558 Stochastic and Physical Monitoring Systems 2015 978-80-01-05841-1 47 56 Praha ČVUT v Praze 2015 Hobza T. 340