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CASIA OpenIR
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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：11/6  |  提交时间：2024/06/03
A Point-Based Neural Network for Real-Scenario Deformation Prediction in Additive Manufacturing 会议论文
, 成都希尔顿酒店, 2022年8月
作者:  Zhao, Meihua;  Xiong, Gang;  Wang, Weixing;  Fang, Qihang;  Shen, Zhen;  Wan, Li;  Zhu, Fenghua
Adobe PDF(1495Kb)  |  收藏  |  浏览/下载：138/35  |  提交时间：2023/06/27
基于多核自适应网络的高速公路交通流预测方法 期刊论文
交通运输研究, 2021, 页码: 1-9
作者:  习金浩;  孟峰;  朱凤华;  贺正冰;  李润梅;  吕宜生
Adobe PDF(1804Kb)  |  收藏  |  浏览/下载：126/55  |  提交时间：2023/06/26
DDRL: A Decentralized Deep Reinforcement Learning Method for Vehicle Repositioning 会议论文
, Indianapolis, IN, USA, 19-22 September 2021
作者:  Jinhao Xi;  Fenghua Zhu;  Yuanyuan Chen;  Yisheng Lv;  Chang Tan;  Feiyue Wang
Adobe PDF(1652Kb)  |  收藏  |  浏览/下载：123/22  |  提交时间：2023/06/26
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：289/36  |  提交时间：2022/09/19
deep reinforcement learning  online ride-hailing system  hierarchical repositioning framework  parallel coordination mechanism  mixed state  
Cyber-Physical-Social Systems for Smart City: An Implementation Based on Intelligent Loop 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(457Kb)  |  收藏  |  浏览/下载：188/54  |  提交时间：2022/06/16
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：181/74  |  提交时间：2022/06/16
Deep Imitation Learning for Traffic Signal Control and Operations Based on Graph Convolutional Neural Networks 会议论文
, Rhodes, Greece, 2020-9
作者:  Li Xiaoshuang;  Guo Zhongzheng;  Dai Xingyuan;  Lin Yilun;  Jin Junchen;  Zhu Fenghua;  Wang Fei-Yue
Adobe PDF(314Kb)  |  收藏  |  浏览/下载：223/76  |  提交时间：2022/06/16
Short-term Bus Passenger Flow Forecast Based On Deep Learning 会议论文
, 济南, 2018-12-14
作者:  Li Xiaoshuang;  Chen Ziyang;  Zhu Fenghua;  Chang Wei;  Tan Chang;  Xiong Gang
Adobe PDF(1030Kb)  |  收藏  |  浏览/下载：161/41  |  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：389/129  |  提交时间：2022/04/08
Adaptive graph learning, Traffic prediction, Graph convolutional network, Expectation maximization, Deep learning