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 Connected Automated Vehicles and ITS
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
      
 Engine and Emissions, Fuels and Lubricants
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
      
 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
      
 ectric, Fuel Cell, and Hybrid Vehicle, Engine and Emissions, Fuels and Lubricants, Heat Transfer, Fluid and Thermal Engineering
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
         Cited By 1
  Body and Safety, Manufacturing, Materials and Recycling
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
         Cited By 9
 Connected Automated Vehicles and ITS
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
         Cited By 26
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