Szczegóły publikacji
Opis bibliograficzny
Learning Fuzzy Cognitive Map for traffic prediction using an evolutionary algorithm / Wojciech CHMIEL, Piotr SZWED // W: Multimedia Communications, Services and Security : 8th international conference, MCSS 2015 : Krakow, Poland, November 24, 2015 : proceedings / eds. Andrzej Dziech, Mikołaj Leszczuk, Remigiusz Baran. — Cham [etc.] : Springer International Publishing, cop. 2015. — (Communications in Computer and Information Science ; ISSN 1865-0929 ; 566). — ISBN: 978-3-319-26403-5; e-ISBN: 978-3-319-26404-2. — S. 195–209. — Bibliogr. s. 208–209, Abstr.
Autorzy (2)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 94541 |
|---|---|
| Data dodania do BaDAP | 2016-01-05 |
| DOI | 10.1007/978-3-319-26404-2_16 |
| Rok publikacji | 2015 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Konferencja | Multimedia Communications, Services and Security 2015 |
| Czasopismo/seria | Communications in Computer and Information Science |
Abstract
The motivation for the presented work was the need for solution allowing efficient estimation of traffic parameters in based on sparse measurements covering a small fraction road segments within large urban road network. The solution was intended to be deployed within the Dynamic Map, an important component of the INSIGMA system used for route planning and traffic control. We have chosen to base the estimation model on Fuzzy Cognitive Maps (FCM) formalism and apply an Evolutionary Algorithm to learn the model parameters. The main argument in favor of FCM is their simplicity and the speed of calculations that can be required for real-time updates of traffic parameters. This paper discusses a novel evolutionary algorithm for FCM learning and demonstrates feasibility and efficiency of such approach by giving results of tests performed on road networks of various size.
