Szczegóły publikacji
Opis bibliograficzny
An approach to robust urban transport management : mixed graph-based model for decision support / Piotr WIŚNIEWSKI, Antoni LIGĘZA // W: Artificial Intelligence and Soft Computing : 16th International Conference : ICAISC 2017 Zakopane, Poland, June 11–15, 2017 : proceedings, Pt. 2 / eds. Leszek Rutkowski, [et al.]. — Switzerland : Springer International Publishing, cop. 2017. — (Lecture Notes in Computer Science ; ISSN 0302-9743. Lecture Notes in Artificial Intelligence ; LNAI 10246). — Toż na Dysku Flash. — ISBN: 978-3-319-59059-2; e-ISBN: 978-3-319-59060-8. — S. 347–356. — Bibliogr. s. 356, Abstr.
Autorzy (2)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 106580 |
|---|---|
| Data dodania do BaDAP | 2017-06-30 |
| DOI | 10.1007/978-3-319-59060-8_31 |
| Rok publikacji | 2017 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Springer |
| Konferencja | 16th International Conference on Artificial Intelligence and Soft Computing |
| Czasopismo/seria | Lecture Notes in Computer Science |
Abstract
In this paper, we present a mathematical model of public transport network, which can be used for generation of alternative routes during crisis situations. It is based on a mixed graph, where decision points are represented by vertices and track sections by edges. Route and vehicle definitions are also provided. We determine the objective function to select the most suitable route as well as the forbidden path set which contains paths that cannot be executed in real networks. The model definition is preceded by examples and analyses of different types of crisis situations.