Szczegóły publikacji
Opis bibliograficzny
Traffic prediction based on modified Nagel-Schreckenberg model : case study for traffic in the city of Darmstadt / Łukasz Gosek, Fryderyk Muras, Przemysław Michałek, Jarosław WĄS // W: Parallel Processing and Applied Mathematics : 13th international conference, PPAM 2019 : Białystok, Poland, September 8–11, 2019 : revised selected papers, Pt. 2 / eds. Roman Wyrzykowski [et al.]. — Wersja do Windows. — Dane tekstowe. — Cham : Springer Nature Switzerland AG, cop. 2020. — (Lecture Notes in Computer Science ; ISSN 0302-9743 ; LNCS 12044. Theoretical Computer Science and General Issues ; ISSN 0302-9743). — ISBN: 978-3-030-43221-8; e-ISBN: 978-3-030-43222-5. — S. 478-488. — Bibliogr. s. 487-488, Abstr.
Autorzy (4)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 128881 |
|---|---|
| Data dodania do BaDAP | 2020-06-16 |
| Tekst źródłowy | URL |
| DOI | 10.1007/978-3-030-43222-5_42 |
| Rok publikacji | 2020 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Springer |
| Konferencja | International Conference on Parallel Processing and Applied Mathematics 2019 |
| Czasopisma/serie | Lecture Notes in Computer Science, Theoretical Computer Science and General Issues |
Abstract
In this study the authors present a model for traffic flow prediction based on Nagel-Schreckenberg Cellular Automata model. The basic model was expanded to allow simulation of multi-lane roads along with representing different types of cars and drivers’ psychological profiles found in urban traffic. Real traffic data from sensors in Darmstadt city (Germany) were used to perform a set of simulations on presented model.
