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

Justus Leskow (), Steffen Greiser, Laura Gregorc and Stelios Damalas
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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

A chapter in Digital Innovation and Organizational Transformation, 2026, pp 387-401 from Springer

Abstract: 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.

Keywords: Transport carbon footprint; Telemetry data; Logistics; Monte Carlo simulation; Map-matching (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-032-08483-5_25

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DOI: 10.1007/978-3-032-08483-5_25

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