Reducing transport emissions through data-driven truck load optimization

Jari Halme; Laura Kojo

Reducing transport emissions through data-driven truck load optimization

Jari Halme
, Laura Kojo

BA5501 Industrial circular economy

Research output: Other contribution › Miscellaneous material › Professional

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Abstract

This one-page summary presents a data-driven approach for reducing freight transport emissions through truck load optimization. A stochastic simulation model was used to evaluate the effects of payload utilization, capacity sharing, and operational uncertainty on transport emissions.

Original language	English
Publisher	VTT Technical Research Centre of Finland
Number of pages	1
Publication status	Published - 13 Aug 2026
MoE publication type	Not Eligible

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Reducing transport emissions through data-driven truck load optimization-v1.0Final published version, 464 KB

OPTIMI 1: Optimizing forest industry sustainability with value chain data
Salokangas, R. (Manager), Atmaca, Y. (Participant), Halme, J. (Participant), Kojo, L. (Participant), Hatara, E. (Participant), Heinisuo, E. (Participant) & Wessberg, N. (Participant)
1/01/24 → 31/12/26
Project: Business Finland project

Cite this

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abstract = "This one-page summary presents a data-driven approach for reducing freight transport emissions through truck load optimization. A stochastic simulation model was used to evaluate the effects of payload utilization, capacity sharing, and operational uncertainty on transport emissions.",

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Reducing transport emissions through data-driven truck load optimization

Abstract

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OPTIMI 1: Optimizing forest industry sustainability with value chain data

Cite this