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Engine and Emissions, Fuels and Lubricants |
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Study on CO2 Emission Assessment of Heavy-Duty and Ultra-Heavy-Duty Vehicles 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
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Electric, Fuel Cell, and Hybrid Vehicle, Fuels and Lubricants, Heat Transfer, Fluid and Thermal Engineering, Vision and Sensors |
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Development of an Algorithm for Predicting the Heat Resistance Temperature of Automotive Lamps
Seong-won Seo , Kim Youngwan , Kwon-yeong Lee
Int J Automot Technol. 2024;25(3):469-479. DOI: https://doi.org/10.1007/s12239-024-00037-3
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Body and Safety, Noise, Vibration and Harshness |
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Dynamic Fatigue Reliability Prediction Approach of Fuel Cell Vehicle Based on Usage Scenario
Zhenyu Nie , Rongliang Liang , Zhen Wu , Ting Guo , Xiaohui Zhang
Int J Automot Technol. 2024;25(1):147-160. DOI: https://doi.org/10.1007/s12239-024-00024-8
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Connected Automated Vehicles and ITS, Electric, Fuel Cell, and Hybrid Vehicle, Vehicle Dynamics and Control |
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IMPROVED PREDICTIVE MODEL OF DRIVERS’ SUBJECTIVE PERCEPTION OF VEHICLE REACTION UNDER AERODYNAMIC EXCITATIONS
Arun Kumar , Erik Sällström , Simone Sebben , Bengt Jacobson
Int J Automot Technol. 2023;24(6):1655-1664. DOI: https://doi.org/10.1007/s12239-023-0133-3
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Electric, Fuel Cell, and Hybrid Vehicle |
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ELECTRIC VEHICLE BATTERY STATE OF CHARGE PREDICTION
BASED ON GRAPH CONVOLUTIONAL NETWORK
Geunsu Kim , Soohyeok Kang , Gyudo Park , Byung-Cheol Min
Int J Automot Technol. 2023;24(6):1519-1530. DOI: https://doi.org/10.1007/s12239-023-0122-6
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Vision and Sensors |
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CNN-BASED OBJECT DETECTION AND DISTANCE PREDICTION FOR
AUTONOMOUS DRIVING USING STEREO IMAGES
Jin Gyu Song , Joon Woong Lee
Int J Automot Technol. 2023;24(3):773-786. DOI: https://doi.org/10.1007/s12239-023-0064-z
 
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Cited By 1 |
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Electric, Fuel Cell, and Hybrid Vehicle, Engine and Emissions, Fuels and Lubricants, Heat Transfer, Fluid and Thermal Engineering |
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DEVELOPMENT OF A LIGHT AND ACCURATE NOX PREDICTION
MODEL FOR DIESEL ENGINES USING MACHINE LEARNING AND
XAI METHODS
Jeong Jun Park , Sangyul Lee , Seunghyup Shin , Minjae Kim , Jihwan Park
Int J Automot Technol. 2023;24(2):559-571. DOI: https://doi.org/10.1007/s12239-023-0047-0
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Cited By 2 |
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Connected Automated Vehicles and ITS, Vehicle Dynamics and Control |
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NEW INTEGRATED MULTI-ALGORITHM FUSION LOCALIZATION AND
TRAJECTORY TRACKING FRAMEWORK OF AUTONOMOUS
VEHICLES UNDER EXTREME CONDITIONS WITH
NON-GAUSSIAN NOISES
Cong Liu , Hui Liu , Lijin Han , Changle Xiang
Int J Automot Technol. 2023;24(1):259-272. DOI: https://doi.org/10.1007/s12239-023-0023-8
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Cited By 1 |
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Engine and Emissions |
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DRAG REDUCTION PREDICTION OF AHMED MODEL WITH TRAVELING WAVE BASED ON BP NEURAL NETWORK
Xingjun Hu , Jinglong Zhang , Yufei Luo , Jingyu Wang , Pengzhan Ma , Wei Lan , Chunbo Dong
Int J Automot Technol. 2022;23(5):1419-1426. DOI: https://doi.org/10.1007/s12239-022-0124-9
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Connected Automated Vehicles and ITS |
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APPLICATION OF BIONIC ALGORITHM BASED ON CS-SVR AND BA-SVR IN SHORT-TERM TRAFFIC STATE PREDICTION MODELING OF URBAN ROAD
Yun Zhu , Chengwenyuan Huang , Yang Wang , Jianyu Wang
Int J Automot Technol. 2022;23(4):1141-1151. DOI: https://doi.org/10.1007/s12239-022-0100-4
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Cited By 7 |
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Electric, Fuel Cell, and Hybrid Vehicle |
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OPTIMAL CLUTCH TORQUE PREDICTION FOR SHIFTING PROCESS OF DUAL CLUTCH TRANSMISSION BASED ON SUPPORT VECTOR REGRESSION
Yonggang Liu , Jingchen Zhang , Qi Huang , Zheng Chen , Zhihang Chen
Int J Automot Technol. 2022;23(4):1073-1084. DOI: https://doi.org/10.1007/s12239-022-0094-y
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Cited By 3 |
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Body and Safety |
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INTERIOR WIND NOISE PREDICTION AND VISUAL EXPLANATION SYSTEM FOR EXTERIOR VEHICLE DESIGN USING COMBINED CONVOLUTION NEURAL NETWORKS
HaEun Park , Hoichan Jung , Min Seok Lee , Doohyung Kim , Jongwon Lee , Sung Won Han
Int J Automot Technol. 2022;23(4):1013-1021. DOI: https://doi.org/10.1007/s12239-022-0088-9
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Cited By 1 |
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Connected Automated Vehicles and ITS, Vehicle Dynamics and Control, Vision and Sensors |
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PERSONALIZED SPEED PLANNING ALGORITHM USING A
STATISTICAL DRIVER MODEL IN CAR-FOLLOWING SITUATIONS
Seung Eon Baek , Hak Su Kim , Manbae Han
Int J Automot Technol. 2022;23(3):829-840. DOI: https://doi.org/10.1007/s12239-022-0074-2
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Cited By 4 |
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Engine and Emissions, Fuels and Lubricants |
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PREDICTING UNBURNED HYDROCARBONS IN THE THERMAL BOUNDARY LAYER CLOSE TO THE COMBUSTION-CHAMBER WALL IN A GASOLINE ENGINE USING A 1-D MODEL
Kei Yoshimura, Hajime Yahata, Shoya Tanamachi, Kyohei Yamaguchi, Ratnak Sok, Jin Kusaka, Satoshi Tokuhara
Int J Automot Technol. 2022;23(1):233-242. DOI: https://doi.org/10.1007/s12239-022-0020-3
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Cited By 1 |
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Connected Automated Vehicles and ITS, Vehicle Dynamics and Control |
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A MEMORY-ATTENTION HIERARCHICAL MODEL FOR DRIVING-BEHAVIOR RECOGNITION AND MOTION PREDICTION
Huilin Yin, Jie Wang, Jia Lin, Daguang Han, Chunli Ying, Qian Meng
Int J Automot Technol. 2021;22(4):895-908. DOI: https://doi.org/10.1007/s12239-021-0081-8
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Cited By 6 |
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Connected Automated Vehicles and ITS, Electric, Fuel Cell, and Hybrid Vehicle, Vehicle Dynamics and Control |
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LANE KEEPING CONTROL BASED ON MODEL PREDICTIVE CONTROL UNDER REGION OF INTEREST PREDICTION CONSIDERING VEHICLE MOTION STATES
Zeng Li, Gaojian Cui, Shaosong Li, Niaona Zhang, Yunsheng Tian, Xiaoqiang Shang
Int J Automot Technol. 2020;21(4):1001-1011. DOI: https://doi.org/10.1007/s12239-020-0095-7
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Cited By 4 |
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Engine and Emissions, Fuels and Lubricants |
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EGR PREDICTION OF DIESEL ENGINES IN STEADY-STATE CONDITIONS USING DEEP LEARNING METHOD
Sangyul Lee, Yongjoo Lee, Youngbok Lee, Minjae Kim, Seunghyup Shin, Jihwan Park, Kyoungdoug Min
Int J Automot Technol. 2020;21(3):571-578. DOI: https://doi.org/10.1007/s12239-020-0054-3
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Cited By 11 |
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Connected Automated Vehicles and ITS, Electric, Fuel Cell, and Hybrid Vehicle, Human Factors and Ergonomics, Vehicle Dynamics and Control |
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EGO-VEHICLE SPEED PREDICTION USING A LONG SHORT-TERM MEMORY BASED RECURRENT NEURAL NETWORK
Kyuhwan Yeon, Kyunghan Min, Jaewook Shin, Myoungho Sunwoo, Manbae Han
Int J Automot Technol. 2019;20(4):713-722. DOI: https://doi.org/10.1007/s12239-019-0067-y
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Cited By 66 |
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Body and Safety |
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SAFE TECHNOLOGY WITH A NOVEL REAR COLLISION AVOIDANCE SYSTEM OF VEHICLES
Yi-Shun Chen, Sheng-Chien Chiu, Shu-San Hsiau
Int J Automot Technol. 2019;20(4):693-699. DOI: https://doi.org/10.1007/s12239-019-0065-0
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Cited By 8 |
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Body and Safety |
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DEVELOPMENT OF AN ENERGY PREDICTION MODEL BASED ON
DRIVING DATA FOR PREDICTING THE DRIVING DISTANCE OF AN
ELECTRIC VEHICLE
Sang Hyeop Lee, Man Ho Kim, Suk Lee
Int J Automot Technol. 2019;20(2):389-395. DOI: https://doi.org/10.1007/s12239-019-0038-3
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Cited By 4 |
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Materials and Recycling |
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CREEP LIFE PREDICTION OF ALLOY 718 FOR AUTOMOTIVE
ENGINE MATERIALS
Yu Sik Kong, Jiyoung Yu, Young Whan Park
Int J Automot Technol. 2018;19(6):1055-1059. DOI: https://doi.org/10.1007/s12239-018-0103-3
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Cited By 5 |
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Automobile Body and Safety |
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CHARACTERISTIC ANALYSIS OF VEHICLE ROLLOVER ACCIDENTS: ROLLOVER SCENARIOS AND PREDICTION/WARNING
Inhwan Han, Kyungtae Roh
Int J Automot Technol. 2017;18(3):451-461. DOI: https://doi.org/10.1007/s12239-017-0045-1
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Cited By 25 |
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Heat Transfer, Fluid and Thermal Engineering |
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NUMERICAL STUDY TO EVALUATE THE CHARACTERISTICS OF HVAC-RELATED PARAMETERS TO REDUCE CO2 CONCENTRATIONS IN CARS
S. H. YOON, H. S. AHN, Y. H. CHOI
Int J Automot Technol. 2016;17(6):959-966. DOI: https://doi.org/10.1007/s12239-016-0093-y
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Cited By 6 |
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Alternative Energy & Vehicle |
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TOPOLOGICAL ANALYSIS OF POWERTRAINS FOR REFUSE-COLLECTING VEHICLES BASED ON REAL ROUTES – PART II: HYBRID ELECTRIC POWERTRAIN
F. SORIANO, M. MORENO-EGUILAZ, J. ALVAREZ, J. RIERA
Int J Automot Technol. 2016;17(5):883-894. DOI: https://doi.org/10.1007/s12239-016-0086-x
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Cited By 2 |
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Alternative Energy & Vehicle |
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TOPOLOGICAL ANALYSIS OF POWERTRAINS FOR REFUSE-COLLECTING VEHICLES BASED ON REAL ROUTES – PART I: HYBRID HYDRAULIC POWERTRAIN
F. SORIANO, M. MORENO-EGUILAZ, J. ALVAREZ, J. RIERA
Int J Automot Technol. 2016;17(5):873-882. DOI: https://doi.org/10.1007/s12239-016-0085-y
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Cited By 9 |
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Automobile Body and Safety |
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IMPULSE-MOMENTUM BASED ANALYSIS OF VEHICLE COLLISION ACCIDENTS USING MONTE CARLO SIMULATION METHODS
I. HAN
Int J Automot Technol. 2015;16(2):253-270. DOI: https://doi.org/10.1007/s12239-015-0027-0
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Cited By 19 |
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Automobile Body and Safety |
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ASSEMBLY VARIATION MODELING METHOD RESEARCH OF COMPLIANT AUTOMOBILE BODY SHEET METAL PARTS USING THE FINITE ELEMENT METHOD
K. G. YU, Z. H. YANG
Int J Automot Technol. 2015;16(1):51-56. DOI: https://doi.org/10.1007/s12239-015-0005-6
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Cited By 21 |
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Automobile Body and Safety |
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DURABILITY PREDICTION FOR AUTOMOBILE ALUMINUM FRONT SUBFRAME USING NONLINEAR MODELS IN VIRTUAL TEST SIMULATIONS
J. S. NAM, H. W. SHIN, G. J. CHOI
Int J Automot Technol. 2014;15(4):593-601. DOI: https://doi.org/10.1007/s12239-014-0062-2
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Cited By 10 |
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Intelligent Vehicle / Transportation Systems |
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EVALUATION OF SAFETY BENEFITS OF AUTOMATIC CRASH INFORMATION NOTIFICATION SYSTEMS ON FREEWAYS
E. JEONG, C. OH, J. LEE
Int J Automot Technol. 2014;15(3):495-503. DOI: https://doi.org/10.1007/s12239-014-0052-4
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Cited By 7 |
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Fuel Cell, Hybrid and Electrical Vehicle |
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SIMULATION TOOL FOR OPTIMIZATION AND PERFORMANCE PREDICTION OF A GENERIC HYBRID ELECTRIC SERIES POWERTRAIN
D. CHINDAMO, M. GADOLA, M. ROMANO
Int J Automot Technol. 2014;15(1):135-144. DOI: https://doi.org/10.1007/s12239-014-0015-9
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Cited By 23 |
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