Szczegóły publikacji
Opis bibliograficzny
Graph-based vehicle traffic modelling for more efficient road lighting / Sebastian ERNST, Konrad KOMNATA, Marek ŁABUZ, Kamila ŚRODA // W: Engineering in dependability of computer systems and networks : proceedings of the fourteenth international conference on Dependability of Computer Systems : DEPCoS-RELCOMEX 2019 : July 1-5, 2019, Brunów, Poland / eds. Wojciech Zamojski, [et al.]. — Cham : Springer, cop. 2020. — (Advances in Intelligent Systems and Computing ; ISSN 2194-5357 ; 987). — ISBN: 978-3-030-19500-7; e-ISBN: 978-3-030-19501-4. — S. 186-194. — Bibliogr. s. [194], Abstr. — Publikacja dostępna online od: 2019-05-12
Autorzy (4)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 122471 |
|---|---|
| Data dodania do BaDAP | 2019-09-23 |
| DOI | 10.1007/978-3-030-19501-4_18 |
| Rok publikacji | 2020 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Springer |
| Konferencja | International Conference on Dependability of Computer Systems 2019 |
| Czasopismo/seria | Advances in Intelligent Systems and Computing |
Abstract
Road traffic is one of the primary characteristics of modern cities. It affects the travel time, which is used by navigation and route planning systems. However, traffic flow can also be modelled with regard to the number of vehicles. This approach can be applied e.g. to dynamic adjustment of street lighting intensity, provided the data is available and comes from a reliable source. This paper proposes a new model – the Traffic Flow Graph – which can be used to represent measurable flows of vehicles. It can be used to verify the reliability of sensor data and to broaden area of dynamic street lighting, to streets without precise traffic detectors. The obtained values allowed the application of dynamic street lighting control, which resulted in 13.8% of energy savings in the road under consideration. © 2020, Springer Nature Switzerland AG.
