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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:316/63  |  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  
Parallel Transportation Management and Control System and Its Applications in Building Smart Cities 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2016, 卷号: 17, 期号: 6, 页码: 1576-1585
作者:  Zhu, Fenghua;  Li, Zhenjiang;  Chen, Songhang;  Xiong, Gang
Adobe PDF(1133Kb)  |  收藏  |  浏览/下载:556/215  |  提交时间:2016/10/20
Intelligent Transportation Systems (Its)  Artificial System  Computational Experiment And Parallel Execution (Acp) Approach  Parallel Transportation Management And Control System (Ptms)  Computational Experiment  Its Cloud  Social Transportation  Transportation Knowledge Automation  
Parallel Traffic Management System and Its Application to the 2010 Asian Games 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2013, 卷号: 14, 期号: 1, 页码: 225-235
作者:  Xiong, Gang;  Dong, Xisong;  Fan, Dong;  Zhu, Fenghua;  Wang, Kunfeng;  Lv, Yisheng
浏览  |  Adobe PDF(1088Kb)  |  收藏  |  浏览/下载:361/92  |  提交时间:2015/08/12
Artificial Transportation System (Ats)  Artificial Systems  Field Data  Computational Experiments  Parallel System  And Parallel Execution (Acp) Approach  Video Detection  
Computational Traffic Experiments Based on Artificial Transportation Systems: An Application of ACP Approach 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2013, 卷号: 14, 期号: 1, 页码: 189-198
作者:  Zhu, Fenghua;  Wen, Ding;  Chen, Songhang
浏览  |  Adobe PDF(1163Kb)  |  收藏  |  浏览/下载:331/86  |  提交时间:2015/08/12
Agent  Artificial Transportation Systems (Atss)  Artificial Societies  Computational Experiment  Computational Experiments  "simple Is consIstent"  And Parallel Execution (Acp) Approach