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All Journal Al-Kharaj: Journal of Islamic Economic and Business Jurnal Manajemen Pendidikan dan Ilmu Sosial (JMPIS) Automotive Experiences Jurnal Keselamatan Kesehatan Kerja dan Lingkungan JURNAL PABEAN : PERPAJAKAN BISNIS EKONOMI AKUNTANSI MANAJEMEN Vortex Amkop Management Accounting Review (AMAR) Sainteks: Jurnal Sain dan Teknik
Lestiani, Melia Eka
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Aerospace Engineering Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Public Health Social Sciences

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Journal : Automotive Experiences

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Calibration of HDM-4 Model for Fuel Consumption in Heavy-Duty Trucks: Integration of Telematics, Engine Speed, and Aerodynamics Nariendra, Pradhana Wahyu; Lestiani, Melia Eka
Automotive Experiences Vol 8 No 1 (2025)
Publisher : Automotive Laboratory of Universitas Muhammadiyah Magelang in collaboration with Association of Indonesian Vocational Educators (AIVE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/ae.12862

Abstract

Fuel efficiency in heavy-duty trucks in Indonesia faces significant challenges, while the current HDM-4 fuel consumption model has limitations in reflecting local conditions. This study calibrates the HDM-4 model using telematics data, engine speed modeling, aerodynamic simulations, and calibration factors. The novelty lies in updating parameters such as engine speed, vehicle frontal area, and calibration factors for engine power efficiency (Kpea) and rolling resistance (Kcr2) to account for tire-road interaction in Indonesian conditions. Data were collected from 5-axle trucks on the Tanjung Priok–Bandung toll road, analyzed using regression, Computational Fluid Dynamics (CFD) simulations, and non-parametric paired tests. Results show updated engine speed parameters (RPM_a0 = 680.11, RPM_a1 = -4.9031, RPM_a2 = 0.3858, RPM_a3 = -0.0028), a drag coefficient of 1.0556, and a frontal area of 8.2 m². Calibrating Kpea and Kcr2 (both 0.6) improved prediction accuracy, with no significant difference between predicted and observed data (p = 0.186). The enhanced HDM-4 model supports operational decisions, infrastructure planning, and sustainable transport policies, improving energy efficiency, reducing emissions, and boosting national logistics competitiveness.
Co-Authors Adiwijaya, Isnian Agus Purnomo Ahmad Rosadi Anggi Widya Purnama Budiono, Cyrilus Sukaca Damayanti, Mirza Azzahra Fikri, Fahmi Nurul Hamidin, Adryany Kusuma, Muhammad Nabil Maniah Maniah, Maniah Marsita, Emay Nariendra, Pradhana Wahyu Ramalia, Desima Shabrina, Fitriana Nur Sirait, Realyta Siregar, Muhammad Raziq Hakim SISWANTO, BUDI NUR Syafrianita Syafrianita Waskito, Saptono Kudanu Waskito, Saptono Kusdanu Widodo, Erlangga Putragung Yunanto, Riki Achmad