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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  
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  
Detecting Traffic Information From Social Media Texts With Deep Learning Approaches 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2019, 卷号: 20, 期号: 8, 页码: 3049-3058
作者:  Chen, Yuanyuan;  Lv, Yisheng;  Wang, Xiao;  Li, Lingxi;  Wang, Fei-Yue
浏览  |  Adobe PDF(2273Kb)  |  收藏  |  浏览/下载：395/102  |  提交时间：2019/08/28
Deep learning  social transportation  traffic information detection  social media  text mining  
Pattern Sensitive Prediction of Traffic Flow Based on Generative Adversarial Framework 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2019, 卷号: 20, 期号: 6, 页码: 2395-2400
作者:  Lin, Yilun;  Dai, Xingyuan;  Li, Li;  Wang, Fei-Yue
浏览  |  Adobe PDF(623Kb)  |  收藏  |  浏览/下载：345/151  |  提交时间：2019/05/07
Traflic flow prediction  deep learning  generative adversarial network  
Traffic Sign Recognition Using a Multi-Task Convolutional Neural Network 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2018, 卷号: 19, 期号: 4, 页码: 1100-1111
作者:  Luo, Hengliang;  Yang, Yi;  Tong, Bei;  Wu, Fuchao;  Fan, Bin
浏览  |  Adobe PDF(4943Kb)  |  收藏  |  浏览/下载：782/371  |  提交时间：2018/01/04
Traffic Sign Detection  Traffic Sign Classification  Convolutional Neural Network  Multi-task 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  
Traffic Sign Detection Using a Cascade Method With Fast Feature Extraction and Saliency Test 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2017, 卷号: 18, 期号: 12, 页码: 3290-3302
作者:  Wang, Dongdong;  Hou, Xinwen;  Xu, Jiawei;  Yue, Shigang;  Liu, Cheng-Lin;  Cheng-Lin Liu
浏览  |  Adobe PDF(2774Kb)  |  收藏  |  浏览/下载：486/157  |  提交时间：2018/01/05
Traffic Sign Detection  Cascade System  Fast Feature Extraction  Saliency Test  
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