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Int J Automot Technol
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International Journal of Automotive Technology
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Connected Automated Vehicles and ITS
MODEL PREDICTIVE ADAPTIVE CRUISE CONTROL OF INTELLIGENT ELECTRIC VEHICLES BASED ON DEEP REINFORCEMENT LEARNING ALGORITHM FWOR DRIVER CHARACTERISTICS
Jinghua Guo , WenChang Li , Yugong Luo , Keqiang Li
Int J Automot Technol.
2023;24(4):1175-1187. DOI:
https://doi.org/10.1007/s12239-023-0096-4
Cited By 1
Connected Automated Vehicles and ITS
NOVEL TEST SCENARIO GENERATION TECHNOLOGY FOR PERFORMANCE EVALUATION OF AUTOMATED VEHICLE
Shuang Li , Wei Li , Penghui Li , Ping Ma , Ming Yang
Int J Automot Technol.
2022;23(5):1295-1312. DOI:
https://doi.org/10.1007/s12239-022-0113-z
Cited By 3
Human Factors and Ergonomics
PREDICTION OF DRIVER’S DROWSINESS USING MACHINE LEARNING ALGORITHMS FOR MINIMAL RISK CONDITION
Deok Ho Nam , Gyeong Pil Kim , Keon Hee Baek , Da Som Lee , Ho Yong Lee , Myung Won Suh
Int J Automot Technol.
2022;23(4):917-926. DOI:
https://doi.org/10.1007/s12239-022-0080-4
Cited By 1
Body and Safety
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
Cited By 4
Intelligent Vehicle / Transportation Systems
CHARACTERISTIC ANALYSIS FOR COGNITION OF DANGEROUS DRIVING USING AUTOMOBILE BLACK BOXES
I. HAN, K. S. YANG
Int J Automot Technol.
2009;10(5):597-605.
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Journal Impact Factor 1.6
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