Modeling Fuel Consumption of Heavy-Duty Trucks Using Telematics Data

Nariendra, Pradhana Wahyu and Santosa, Wimpy and Sutandi, Anastasia Caroline (2026) Modeling Fuel Consumption of Heavy-Duty Trucks Using Telematics Data. Periodica Polytechnica Transportation Engineering, 54 (1). pp. 41-48. ISSN 1587-3811

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Abstract

Road transport, particularly heavy-duty trucks, is a significant contributor to CO2 and NOx emissions, especially in developing nations such as Indonesia. This research introduces a novel fuel consumption model for trucks compliant with Euro-3 and Euro-4 emission standards, leveraging real-time telematics data to enhance fuel efficiency and mitigate emissions. The two main approaches are multiple linear regression with Box-Cox transformation and Generalized Linear Models (GLM), with independent variables including average operation speed, gross vehicle weight, and road gradient, collected from major logistics corridors in Indonesia. Empirical results indicate that the Box-Cox transformation model outperforms the GLM, exhibiting lower deviance and Root Mean Square Error (RMSE). The analysis reveals that average operation speed and truck type positively influence fuel consumption, while gross weight and road gradient negatively impact it. Euro-4 trucks demonstrate higher fuel efficiency and lower emissions compared to Euro-3 trucks, though further refinement of the predictive model for Euro-4 trucks is warranted. This study underscores the critical role of enhancing fuel efficiency in reducing emissions, with Euro-4 technology not only boosting efficiency but also substantially cutting greenhouse gas emissions. Moreover, the integration of telematics technology facilitates precise data acquisition, fostering energy optimization and emission reduction initiatives within the transportation sector. Future research should explore the integration of machine learning techniques to capture more complex patterns and extend model applicability across diverse operating conditions, particularly within the context of developing countries.

Item Type:	Article
Subjects:	Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4050 Electronic information resources
Depositing User:	Pradhana Wahyu Nariendra
Date Deposited:	25 May 2026 02:07
Last Modified:	25 May 2026 02:07
URI:	http://eprints.ulbi.ac.id/id/eprint/4018

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