Issue |
MATEC Web Conf.
Volume 390, 2024
3rd International Scientific and Practical Conference “Energy-Optimal Technologies, Logistic and Safety on Transport” (EOT-2023)
|
|
---|---|---|
Article Number | 02001 | |
Number of page(s) | 6 | |
Section | Interoperability, Safety and Certification in Transport. Environmental Safety in Transport. Barrier-Free Access to Transport Infrastructure | |
DOI | https://doi.org/10.1051/matecconf/202439002001 | |
Published online | 24 January 2024 |
Assessment of pollutant concentrations from a rail vehicle during remote sensing research
1 Poznan University of Technology, Faculty of Civil and Transport Engineering, Institute of Combustion Engines and Powertrains, ul. Piotrowo 3, 60-965 Poznań, Poland.
2 Łukasiewicz Research Network - Center of Rail Vehicles, ul. Warszawska 181, 61-055 Poznań, Poland
3 Doctoral School of Poznan University of Technology, Faculty of Civil and Transport Engineering, ul. Piotrowo 3, 60-965 Poznań, Poland.
4 H. Cegielski – Fabryka Pojazdów Szynowych Sp. z o.o., 28 Czerwca 1956 r. 223/229, 61-485 Poznań, Poland
5 Koleje Wielkopolskie Sp. z o.o., ul. Składowa 5, 61-897 Poznań, Poland
* Corresponding author: lukasz.rymaniak@put.poznan.pl
Remote sensing research was carried out for a standard-gauge railbus used for passenger transport in the Wielkopolska voivodeship (Poland). Pollution concentrations were measured using a modular device for ecological assessment of moving vehicles - an emission gate. The basic tests were carried out using equipment from the PEMS group. The results from the remote sensing device were compared to them. Taking into account the results, it was concluded that the newly developed device allows for the assessment of pollutant concentrations in a non-invasive way, both for gaseous compounds and solid particles. The presented analyzes indicate that most of the concentrations reached values close to the minimum indications from the PEMS equipment.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.