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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：231/29  |  提交时间：2022/09/19
deep reinforcement learning  online ride-hailing system  hierarchical repositioning framework  parallel coordination mechanism  mixed state  
Multi-Granularity Mutual Learning Network for Object Re-Identification 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 12
作者:  Tu, Mingfei;  Zhu, Kuan;  Guo, Haiyun;  Miao, Qinghai;  Zhao, Chaoyang;  Zhu, Guibo;  Qiao, Honglin;  Huang, Gaopan;  Tang, Ming;  Wang, Jinqiao
Adobe PDF(4360Kb)  |  收藏  |  浏览/下载：326/68  |  提交时间：2022/06/10
Feature extraction  Visualization  Task analysis  Intelligent transportation systems  Image reconstruction  Semantics  Licenses  Object re-identification  mutual learning  feature reconstruction  solving jigsaw puzzle  
Pedestrian Trajectory Prediction Based on Deep Convolutional LSTM Network 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 卷号: 22, 期号: 6, 页码: 3285-3302
作者:  Song, Xiao;  Chen, Kai;  Li, Xu;  Sun, Jinghan;  Hou, Baocun;  Cui, Yong;  Zhang, Baochang;  Xiong, Gang;  Wang, Zilie
收藏  |  浏览/下载：216/0  |  提交时间：2021/08/15
Trajectory  Predictive models  Neural networks  Force  Mathematical model  Feature extraction  Tensors  Pedestrian behavior  convolution  long short-term memory  neural network  
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：267/51  |  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：254/55  |  提交时间：2020/10/16
Traffic Flow Prediction  Ensemble Learning  Deep Learning  
Capturing Car-Following Behaviors by Deep Learning 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2018, 卷号: 19, 期号: 3, 页码: 910-920
作者:  Wang, Xiao;  Jiang, Rui;  Li, Li;  Lin, Yilun;  Zheng, Xinhu;  Wang, Fei-Yue
浏览  |  Adobe PDF(3543Kb)  |  收藏  |  浏览/下载：424/165  |  提交时间：2018/10/10
Microscopic Car-following Model  Deep Learning  Recurrent Neural Network (Rnn)  Gated Recurrent Unit (Gru) Neural Networks  
Parking Like a Human: A Direct Trajectory Planning Solution 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2017, 卷号: 18, 期号: 12, 页码: 3388-3397
作者:  Liu, Wei;  Li, Zhiheng;  Li, Li;  Wang, Fei-Yue
浏览  |  Adobe PDF(2375Kb)  |  收藏  |  浏览/下载：374/153  |  提交时间：2018/01/04
Autonomous Vehicles  Parking  Trajectory Planning  
A Parallel Transportation Management and Control System for Bus Rapid Transit Using the ACP Approach 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2017, 卷号: 18, 期号: 9, 页码: 2569-2574
作者:  Dong, Xisong;  Lin, Yuetong;  Shen, Dayong;  Li, Zhengxi;  Zhu, Fenghua;  Hu, Bin;  Fan, Dong;  Xiong, Gang
浏览  |  Adobe PDF(2125Kb)  |  收藏  |  浏览/下载：414/115  |  提交时间：2018/03/03
Bus Rapid Transit (Brt)  Acp Approach Parallel Transportation System  Dynamic Perception  Artificial Transportation System  
Parallel Transportation Management and Control System for Subways 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2017, 卷号: 18, 期号: 7, 页码: 1974-1979
作者:  Xiong, Gang;  Shen, Dayong;  Dong, Xisong;  Hu, Bin;  Fan, Dong;  Zhu, Fenghua
浏览  |  Adobe PDF(1308Kb)  |  收藏  |  浏览/下载：486/205  |  提交时间：2017/09/12
Subways  Acp Approach  Status Perception  Artificial Subway System  Computational Experiments Platform  Parallel Execution System  
Optimal Traffic Sensor Location for Origin-Destination Estimation Using a Compressed Sensing Framework 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2017, 卷号: 18, 期号: 7, 页码: 1857-1866
作者:  Ye, Peijun;  Wen, Ding
浏览  |  Adobe PDF(1590Kb)  |  收藏  |  浏览/下载：357/107  |  提交时间：2017/09/12
Traffic Sensor Location  Traffic Flow Estimation  Compressed Sensing