0468130 20240111140930.920170103235959.9 84979500860 000390205300022 10.1109/SCSP.2016.7501032 5 s. E cav_un_epca*0468907978-1-5090-1116-21-5PiscatawayIEEE2016 logistic regression Newton method traffic accidents cav_un_auth*0205791 Pecherková Pavla Adaptivní systémy Department of Adaptive Systems AS AS UTIA-B Department of Signal Processing CZ Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101167 Nagy Ivan Zpracování signálů Department of Signal Processing ZS ZS UTIA-B Department of Signal Processing Ústav teorie informace a automatizace AV ČR, v. v. i. pdf http://library.utia.cas.cz/separaty/2016/AS/pecherkova-0468130.pdf cav_un_auth*0321440 GA15-03564S GA ČR This paper deals with problem of analysis of traffic data. A traffic network has several types of roads: historical centre, peripherals, arterial roads, etc. They have specific properties. For a traffic analysis, large amounts of data are needed. Some traffic data are difficult to obtain due to their rare occurrence. Typical example is the investigation of traffic accidents. In these cases, data from other similar roads can be used. In such cases, an expert intervention added to the general analysis is very important. In this paper, the logistic regression with two types of expert intervention is briefly introduced. The performance of these methods is demonstrated on examples concerning seriousness of traffic accidents. cav_un_auth*0340181 SCSP 2016. Smart Cities Symposium 20160526 20160527 Prague CZ BB 2017 2 PO RVO:67985556 http://hdl.handle.net/11104/0266864 S n.a. Proceedings Paper Engineering Multidisciplinary|Engineering Electrical Electronic 2016 84979500860 SCOPUS PUBMED 000390205300022 WOS pdf cav_un_epca*0468907 SCSP 2016. Smart Cities Symposium Prague 978-1-5090-1116-2 1 5 Piscataway IEEE 2016 Koukol M. 340