Szczegóły publikacji
Opis bibliograficzny
Supporting winter road maintenance procedures with the use of distributed measurements based on IoT, thermodynamic models and machine learning / Mirosław Hajder, Piotr HAJDER, Lucyna HAJDER, Mateusz Liput, Janusz Kolbusz // W: PerCom 2023 [Dokument elektroniczny] : IEEE international conference on Pervasive Computing and Communications workshops and other affiliated events (PerCom workshops) : 13-17 March 2023, Atlanta, USA. — Wersja do Windows. — Dane tekstowe. — [Piscataway] : IEEE, cop. 2023. — (IEEE International Conference on Pervasive Computing and Communications Workshops ; ISSN 2836-5348). — Dod. ISBN: 978-1-6654-5382-0 (print on demand). — e-ISBN: 978-1-6654-5381-3. — S. 515–520. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 520, Abstr. — Publikacja dostępna online od: 2023-06-21. --- Publikacja w części: PerAwareCity 2023 : 8th IEEE international workshop on Pervasive Context-Aware Smart Cities and Intelligent Transport Systems
Autorzy (5)
- Hajder Mirosław
- AGHHajder Piotr
- AGHHajder Lucyna
- Liput Mateusz
- Kolbusz Janusz
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 147681 |
|---|---|
| Data dodania do BaDAP | 2023-07-26 |
| Tekst źródłowy | URL |
| DOI | 10.1109/PerComWorkshops56833.2023.10150293 |
| Rok publikacji | 2023 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Institute of Electrical and Electronics Engineers (IEEE) |
| Konferencja | IEEE International Conference on Pervasive Computing and Communications 2023 |
| Czasopismo/seria | IEEE International Conference on Pervasive Computing and Communications Workshops |
Abstract
Slippery winter roads hinder car communication and cause many accidents for at least several months a year. The main cause of this problem is the crystallization of the water on the surface, which radically decreases friction between the wheels of the car and the surface of the road and thus increases the required braking distance. The relevant services have been dealing with winter slipperiness for over 100 years. During this time, many mitigation methods were developed and verified. The most widely used methods are chemical methods that cover the road surface with a layer of reagents that melt ice by lowering the solidification temperature. Unfortunately, these chemicals are usually harmful to the environment; for example, they cause degradation of the immediate surroundings of roads, and contamination of groundwater. These phenomena are favored by imperfect procedures to determine the sectoral density of reactants, mainly their dosing. In this paper, the results of the construction of an automatic and maintenance-free reagent dosing system for winter road maintenance are presented. The system acquires measurement data during the salt spreader drive, which are used to determine the sector density of the reagents for a specific road section. These data were and may be used in the future to design two models: thermodynamical to determine the required concentration of reagents and neural network to detect anomalies in a given sector. As a result, their usage is not exceeded or underestimated.
