Deviations prediction in timetables based on AVL dat

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F14%3A10272679" target="_blank" >RIV/00216208:11320/14:10272679 - isvavai.cz</a>
Result on the web
<a href="http://ceur-ws.org/Vol-1214/54.pdf" target="_blank" >http://ceur-ws.org/Vol-1214/54.pdf</a>
DOI - Digital Object Identifier
—

Result language
angličtina
Original language name
Deviations prediction in timetables based on AVL dat
Original language description
Relevant path planning using public transportation is limited by reliability of the transportation network. In some cases it turns out that we can plan paths with respect to expected delays and hereby improve reliability of the resulting path. In our work we focus on prediction of the delays in public transportation systems. For this purpose we use data from vehicle tracking systems used by transit operators - known as the AVL data. We compare statistic methods to methods of artificial intelligence using data from Prague trams tracking system. We discovered that in some cases the neural networks show better results than the statistic methods. In contrast, sometimes even simple statistical methods give as good results as those provided by the neural networks.
Czech name
—
Czech description
—

Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
ITAT 2014 Informační technologie - aplikace a teorie, část I: sborník z 14. konference ITAT 2014
ISBN
978-80-87136-18-8
ISSN
1613-0073
e-ISSN
—
Number of pages
7
Pages from-to
54-60
Publisher name
Ústav informatiky AV ČR, vvi;
Place of publication
Neuveden
Event location
Jasná, Slovakia
Event date
Sep 25, 2014
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
—

Similar results(10)