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Int J Automot Technol
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International Journal of Automotive Technology
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Engine and Emissions, Fuels and Lubricants
Study on CO2 Emission Assessment of Heavy-Duty and Ultra-
Heavy-Duty Vehicle
s Using Machine Learning
Seokho Moon , Jinhee Lee , Hyung Jun Kim , Jung Hwan Kim , Suhan Park
Int J Automot Technol.
2024;25(3):651-661. DOI:
https://doi.org/10.1007/s12239-024-00051-5
Engine and Emissions, Fuels and Lubricants
STUDY ON ANALYSIS OF REAL ROAD DRIVING CHARACTERISTICS OF HEAVY-DUTY GAS DELIVERY TRACTOR
Jae Woo Chung, Beom Ho Lee, Si Won Lee, Deok Jin Kim, Ji Young Park, Young Mo Goo
Int J Automot Technol.
2021;22(6):1735-1742. DOI:
https://doi.org/10.1007/s12239-021-0149-5
Cited By 1
Connected Automated Vehicles and ITS, Vehicle Dynamics and Control
MODEL PREDICTIVE LONGITUDINAL CONTROL FOR
HEAVY-DUTY VEHICLE
PLATOON USING LEAD VEHICLE PEDAL INFORMATION
Hyoungjong Wi, Honggi Park, Daehie Hong
Int J Automot Technol.
2020;21(3):563-569. DOI:
https://doi.org/10.1007/s12239-020-0053-4
Cited By 18
Heat Transfer, Fluid and Thermal Engineering
HYDRAULIC RETARDERS FOR HEAVY VEHICLES: ANALYSIS OF FLUID MECHANICS AND COMPUTATIONAL FLUID DYNAMICS ON BRAKING TORQUE AND TEMPERATURE RISE
Hongpeng Zheng, Yulong Lei, Pengxiang Song
Int J Automot Technol.
2017;18(3):387-396. DOI:
https://doi.org/10.1007/s12239-017-0039-z
Cited By 16
1
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Journal Impact Factor 1.5
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