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CASIA OpenIR
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HMDRL: Hierarchical Mixed Deep Reinforcement Learning to Balance Vehicle Supply and Demand 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 12
作者:  Xi, Jinhao;  Zhu, Fenghua;  Ye, Peijun;  Lv, Yisheng;  Tang, Haina;  Wang, Fei-Yue
Adobe PDF(3316Kb)  |  收藏  |  浏览/下载：257/30  |  提交时间：2022/09/19
deep reinforcement learning  online ride-hailing system  hierarchical repositioning framework  parallel coordination mechanism  mixed state  
Data Augmented Deep Behavioral Cloning for Urban Traffic Control Operations Under a Parallel Learning Framework 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 卷号: 23, 期号: 6, 页码: 5128-5137
作者:  Li, Xiaoshuang;  Ye, Peijun;  Jin, Junchen;  Zhu, Fenghua;  Wang, Fei-Yue
Adobe PDF(2319Kb)  |  收藏  |  浏览/下载：294/58  |  提交时间：2022/01/27
Generative adversarial networks  Data models  Gallium nitride  Task analysis  Complex systems  Intelligent traffic signal operations  deep behavioral cloning  
Acting As A Decision Maker: Traffic-Condition-Aware Ensemble Learning for Traffic Flow Prediction 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2020, 期号: Accepted, 页码: Accepted
作者:  Yuanyuan Chen;  Hongyu Chen;  Peijun Ye;  Yisheng Lv;  Fei-Yue Wang
浏览  |  Adobe PDF(2382Kb)  |  收藏  |  浏览/下载：267/56  |  提交时间：2020/10/16
Traffic Flow Prediction  Ensemble Learning  Deep Learning  
Parallel Control and Management for Intelligent Transportation Systems: Concepts, Architectures, and Applications 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2010, 卷号: 11, 期号: 3, 页码: 630-638
作者:  Wang, Fei-Yue
浏览  |  Adobe PDF(1203Kb)  |  收藏  |  浏览/下载：2149/933  |  提交时间：2015/08/12
Acp  Cloud Computing  Cyberphysical-social Systems (Cpss)  Data-driven Decision Making  Parallel Control  Parallel Management  Traffic Control And Management  
Growing Artificial Transportation Systems: A Rule-Based Iterative Design Process 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2011, 卷号: 12, 期号: 2, 页码: 322-332
作者:  Li, Jinyuan;  Tang, Shuming;  Wang, Xiqin;  Duan, Wei;  Wang, Fei-Yue
浏览  |  Adobe PDF(794Kb)  |  收藏  |  浏览/下载：255/77  |  提交时间：2015/08/12
Agents  Artificial Transportation Systems (Ats)  Computational Experiments  Emergence-based Observation  Rules