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CASIA OpenIR
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Embed Trajectory Imitation in Reinforcement Learning: A Hybrid Method for Autonomous Vehicle Planning 会议论文
/, Orlando, FL, USA, 2023-11
作者:  Wang, Yuxiao;  Dai, Xingyuan;  Wang, Kara;  Ali, Hub;  Zhu, Fenghua
Adobe PDF(1410Kb)  |  收藏  |  浏览/下载：14/4  |  提交时间：2024/06/11
Imitation Learning  Trajectory Planning  Deep Reinforcement Learning  Autonomous Driving  
Interpretable Autonomous Driving Model Based on Cognitive Reinforcement Learning 会议论文
, Jeju, Korea, Jun. 02-05, 2024
作者:  Yijia Li;  Hao Qi;  Fenghua Zhu;  Yisheng Lv;  Peijun Ye
Adobe PDF(87Kb)  |  收藏  |  浏览/下载：22/10  |  提交时间：2024/06/06
Traffic Signal Control Based on Reinforcement Learning and Fuzzy Neural Network 会议论文
, Macau, China, October 8-12, 2022
作者:  Zhao, Hongxia;  Chen, Songhang;  Zhu, Fenghua;  Tang, Haina
Adobe PDF(565Kb)  |  收藏  |  浏览/下载：19/10  |  提交时间：2024/06/03
Counterfactual Evolutionary Reasoning for Virtual Driver Reinforcement Learning in Safe Driving 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 12, 页码: 4696-4705
作者:  Ye, Peijun;  Qi, Hao;  Zhu, Fenghua;  Lv, Yisheng
收藏  |  浏览/下载：39/0  |  提交时间：2024/03/26
Safe driving  reinforcement learning  counter factual reasoning  evolutionary search  
Hierarchical Multi-Objective Optimization for Dedicated Bus Punctuality and Supply-Demand Balance Control 期刊论文
SENSORS, 2023, 卷号: 23, 期号: 9, 页码: 18
作者:  Shang, Chunlin;  Zhu, Fenghua;  Xu, Yancai;  Liu, Xiaoming;  Jiang, Tianhua
收藏  |  浏览/下载：51/0  |  提交时间：2023/11/17
intelligent transportation system  hierarchical multi-objective optimization  driving speed decision-making  dedicated bus  Lagrangian multiplier method  
HMDRL: Hierarchical Mixed Deep Reinforcement Learning to Balance Vehicle Supply and Demand 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 卷号: 23, 期号: 11, 页码: 21861-21872
作者:  Xi, Jinhao;  Zhu, Fenghua;  Ye, Peijun;  Lv, Yisheng;  Tang, Haina;  Wang, Fei-Yue
Adobe PDF(3316Kb)  |  收藏  |  浏览/下载：297/38  |  提交时间：2022/09/19
deep reinforcement learning  online ride-hailing system  hierarchical repositioning framework  parallel coordination mechanism  mixed state  
Deep Behavioral Cloning for Traffic Control with Virtual Expert Demonstration Under a Parallel Learning Framework 会议论文
, 北京, 2020-12
作者:  Li Xiaoshuang;  Zhu Fenghua;  Wang Fei-Yue
Adobe PDF(770Kb)  |  收藏  |  浏览/下载：188/78  |  提交时间：2022/06/16
Collaborative Optimization of Cyber Physical Social Systems for Urban Transportation Based on Knowledge Automation 会议论文
, 北京, 2020-12-5
作者:  Xiong, Gang;  Chen, Xiaoyu;  Shuo, Nan;  Lv, Yisheng;  Zhu, Fenghua;  Qu, Tianci;  Ye, Peijun
Adobe PDF(616Kb)  |  收藏  |  浏览/下载：238/84  |  提交时间：2022/06/16
Improving Road Detection Results Based on Ensemble Learning and Key Samples Focusing 会议论文
Proceedings of the IEEE International Conference on Intelligent Transportation Systems (ITSC), Rhodes, Greece; Online, 2020-9-20
作者:  Fan, Siqi;  Zhu, Fenghua;  Zhang, Hui;  Lv, Yisheng;  Wang, Xiao;  Xiong, Gang;  Wang, Feiyue
Adobe PDF(2270Kb)  |  收藏  |  浏览/下载：259/58  |  提交时间：2022/06/16
AdapGL: An adaptive graph learning algorithm for traffic prediction based on spatiotemporal neural networks 期刊论文
Transportation Research Part C, 2022, 期号: 99, 页码: 1-1
作者:  Wei Zhang;  Fenghua Zhu;  Yisheng Lv;  Chang Tan;  Wen Liu;  Xin Zhang;  Fei-Yue Wang
Adobe PDF(2619Kb)  |  收藏  |  浏览/下载：398/132  |  提交时间：2022/04/08
Adaptive graph learning, Traffic prediction, Graph convolutional network, Expectation maximization, Deep learning