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CASIA OpenIR
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Auxiliary Network Enhanced Hierarchical Graph Reinforcement Learning for Vehicle Repositioning 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2024, 页码: 13
作者:  Xi, Jinhao;  Zhu, Fenghua;  Ye, Peijun;  Lv, Yisheng;  Xiong, Gang;  Wang, Fei-Yue
收藏  |  浏览/下载：1/0  |  提交时间：2024/07/03
Mobility-on-demand system  vehicle repositioning  hierarchical graph reinforcement learning  auxiliary graph reinforcement learning  
DeCAST in TransVerse for Parallel Intelligent Transportation Systems and Smart Cities: Three Decades and Beyond 期刊论文
IEEE Intelligent Transportation Systems Magazine, 2022, 卷号: 14, 期号: 6, 页码: 6-17
作者:  Zhao, Chen;  Lv, Yisheng;  Jin, Junchen;  Tian, Yonglin;  Wang, Jiangong;  Wang, Fei-Yue
Adobe PDF(2979Kb)  |  收藏  |  浏览/下载：30/8  |  提交时间：2024/05/28
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：137/59  |  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：130/23  |  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：303/39  |  提交时间：2022/09/19
deep reinforcement learning  online ride-hailing system  hierarchical repositioning framework  parallel coordination mechanism  mixed state  
A GAN-Based Short-Term Link Traffic Prediction Approach for Urban Road Networks Under a Parallel Learning Framework 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 12
作者:  Jin, Junchen;  Rong, Dingding;  Zhang, Tong;  Ji, Qingyuan;  Guo, Haifeng;  Lv, Yisheng;  Ma, Xiaoliang;  Wang, Fei-Yue
收藏  |  浏览/下载：271/0  |  提交时间：2022/06/06
Roads  Predictive models  Data models  Recurrent neural networks  Generators  Computer architecture  Deep learning  Short-term link speed prediction  signalized urban networks  Wasserstein generative adversarial network  
A Multi-Agent Reinforcement Learning Method With Route Recorders for Vehicle Routing in Supply Chain Management 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 11
作者:  Ren, Lei;  Fan, Xiaoyang;  Cui, Jin;  Shen, Zhen;  Lv, Yisheng;  Xiong, Gang
收藏  |  浏览/下载：193/0  |  提交时间：2022/06/06
Reinforcement learning  Costs  Task analysis  Transportation  Optimization  Computational modeling  Vehicle routing  Vehicle routing  supply chain management  multi-agent reinforcement learning (MARL)  route recorder