Connected Automated Vehicles and ITS |
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A Comprehensive Driving Decision-Making Methodology Based on Deep Reinforcement Learning for Automated Commercial Vehicles
Weiming Hu , Xu Li , Jinchao Hu , Yan Liu , Jinying Zhou
Int J Automot Technol. 2024;25(6):1469-1483. DOI: https://doi.org/10.1007/s12239-024-00135-2
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Engine and Emissions, Fuels and Lubricants |
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Local Planning Strategy Based on Deep Reinforcement Learning Over Estimation Suppression
Ling Han , Yiren Wang , Ruifeng Chi , Ruoyu Fang , Guopeng Liu , Qiang Yi , Changsheng Zhu
Int J Automot Technol. 2024;25(4):837-848. DOI: https://doi.org/10.1007/s12239-024-00076-w
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Connected Automated Vehicles and ITS |
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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
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ectric, Fuel Cell, and Hybrid Vehicle, Engine and Emissions, Fuels and Lubricants, Heat Transfer, Fluid and Thermal Engineering |
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FUEL-SAVING CONTROL STRATEGY FOR FUEL VEHICLES WITH
DEEP REINFORCEMENT LEARNING AND COMPUTER VISION
Ling Han , Guopeng Liu , Hui Zhang , Ruoyu Fang , Changsheng Zhu
Int J Automot Technol. 2023;24(3):609-621. DOI: https://doi.org/10.1007/s12239-023-0051-4
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Cited By 1 |
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Body and Safety, Manufacturing, Materials and Recycling |
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PEDESTRIAN COLLISION AVOIDANCE USING DEEP REINFORCEMENT LEARNING
Alireza Rafiei , Amirhossein Oliaei Fasakhodi , Farshid Hajati
Int J Automot Technol. 2022;23(3):613-622. DOI: https://doi.org/10.1007/s12239-022-0056-4
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Cited By 9 |
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Connected Automated Vehicles and ITS |
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TRAJECTORY PLANNING FOR AUTOMATED PARKING SYSTEMS USING DEEP REINFORCEMENT LEARNING
Zhuo Du, Qiheng Miao, Changfu Zong
Int J Automot Technol. 2020;21(4):881-887. DOI: https://doi.org/10.1007/s12239-020-0085-9
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Cited By 26 |
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