Lin Li

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Publications (12)

• Cooperative Merging Strategy Considering Stochastic Driving Style at on-Ramps: A Bayesian Game Approach
  Automotive Innovation 2024 DOI: 10.1007/s42154-023-00248-x
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• Nash double Q-based multi-agent deep reinforcement learning for interactive merging strategy in mixed traffic
  Expert Systems with Applications 2024 DOI: 10.1016/j.eswa.2023.121458
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• POMDP Motion Planning Algorithm Based on Multi-Modal Driving Intention
  IEEE Transactions on Intelligent Vehicles 2023 DOI: 10.1109/TIV.2022.3209926
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• Eco-Friendly On-Ramp Merging Strategy for Connected and Automated Vehicles in Heterogeneous Traffic
  IEEE Transactions on Vehicular Technology 2023 DOI: 10.1109/TVT.2023.3281367
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• Nash Double Q-Based Multi-Agent Deep Reinforcement Learning for Cooperative Merging Strategic in Mixed Traffic
  SSRN 2023 DOI: 10.2139/ssrn.4370168
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• Nash Double Q-Based Multi-Agent Deep Reinforcement Learning for Interactive Merging Strategy in Mixed Traffic
  SSRN 2023 DOI: 10.2139/ssrn.4429451
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• BRAM-ED: Vehicle Trajectory Prediction Considering the Change of Driving Behavior
  IEEE/ASME Transactions on Mechatronics 2022 DOI: 10.1109/TMECH.2022.3188011
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• ES-DQN: A Learning Method for Vehicle Intelligent Speed Control Strategy Under Uncertain Cut-In Scenario
  IEEE Transactions on Vehicular Technology 2022 DOI: 10.1109/TVT.2022.3143840
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• An Improved IOHMM-Based Stochastic Driver Lane-Changing Model
  IEEE Transactions on Human-Machine Systems 2021 DOI: 10.1109/THMS.2021.3066851
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• Lane-Change Intention Inference Based on RNN for Autonomous Driving on Highways
  IEEE Transactions on Vehicular Technology 2021 DOI: 10.1109/TVT.2021.3079263
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