Sensor-based modelling of carbon dioxide emissions for trailer traffic
| dc.contributor.author | Leskow, Justus | |
| dc.contributor.author | Greiser, Steffen | |
| dc.contributor.author | Korn, Goy-Hinrich | |
| dc.contributor.editor | Klein, Maike | |
| dc.contributor.editor | Krupka, Daniel | |
| dc.contributor.editor | Winter, Cornelia | |
| dc.contributor.editor | Wohlgemuth, Volker | |
| dc.date.accessioned | 2023-11-29T14:50:20Z | |
| dc.date.available | 2023-11-29T14:50:20Z | |
| dc.date.issued | 2023 | |
| dc.description.abstract | In this research work, the calculation of carbon dioxide emissions for trailer traffic based on sensor data is described. The data consist of trailer type, load, trip and route parameters. While the individual trailer parameters can be derived from the order management, the trip and route parameters are collected by frequently data. With this, the transport carbon footprint is calculated based on DIN EN 16258 by means of the ProBas database. The distributions of carbon dioxide emissions in trailer traffic are analysed and discussed. The results of the case study indicate that sensor-based modelling can be a useful tool for an improved transparency and estimation of carbon dioxide emissions. | en |
| dc.identifier.doi | 10.18420/inf2023_145 | |
| dc.identifier.isbn | 978-3-88579-731-9 | |
| dc.identifier.pissn | 1617-5468 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/43069 | |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik e.V. | |
| dc.relation.ispartof | INFORMATIK 2023 - Designing Futures: Zukünfte gestalten | |
| dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-337 | |
| dc.subject | transport carbon footprint | |
| dc.subject | trailer | |
| dc.subject | telemetry data | |
| dc.subject | logistics | |
| dc.title | Sensor-based modelling of carbon dioxide emissions for trailer traffic | en |
| dc.type | Text/Conference Paper | |
| gi.citation.endPage | 1398 | |
| gi.citation.publisherPlace | Bonn | |
| gi.citation.startPage | 1391 | |
| gi.conference.date | 26.-29. September 2023 | |
| gi.conference.location | Berlin | |
| gi.conference.sessiontitle | Ökologische Nachhaltigkeit - Zukunft nachhaltig gestalten durch digitalisierte Wertschöpfungsprozesse (DigiWe) |
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