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Monte Carlo Simulation to Analyse the Impact of Uncertain Telemetry Data on the Calculation of CO2e Emissions for Trailer Traffic

In: Digital Innovation and Organizational Transformation

Author

Listed:
  • Justus Leskow

    (Hochschule Osnabrück, Faculty of Management and Technology)

  • Steffen Greiser

    (Hochschule Osnabrück, Faculty of Management and Technology)

  • Laura Gregorc

    (Hochschule Osnabrück, Faculty of Management and Technology)

  • Stelios Damalas

    (Contextual Information Systems & Operational Insights (CISO), Virtual Vehicle Research GmbH)

Abstract

This paper analyses the impact of a map-matching algorithm on the uncertainties of GPS coordinates in the calculation of carbon dioxide emissions for trailer transport based on telemetry data. Using trailer type, load, journey and route parameters, the Transport Carbon Footprint can be calculated based on DIN EN ISO 14083 and using the GLEC Framework. A Monte Carlo simulation was used to analyse the effects of GPS coordinate uncertainties on the Graphhopper map matching algorithm. Based on this, the effects of route deviations on the calculation of the Transport Carbon Footprint were analysed. The results of this investigation indicate that the use of a map matching algorithm leads to a relative deviation of less than 0.02% in the calculation of the carbon footprint of transport due to GPS uncertainties.

Suggested Citation

  • Justus Leskow & Steffen Greiser & Laura Gregorc & Stelios Damalas, 2026. "Monte Carlo Simulation to Analyse the Impact of Uncertain Telemetry Data on the Calculation of CO2e Emissions for Trailer Traffic," Lecture Notes in Information Systems and Organization, in: Christoph M. Flath & Gunther Gust & Frédéric Thiesse & Axel Winkelmann (ed.), Digital Innovation and Organizational Transformation, pages 387-401, Springer.
    • Handle: RePEc:spr:lnichp:978-3-032-08483-5_25
    DOI: 10.1007/978-3-032-08483-5_25
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