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出处:IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
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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)
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浏览/下载:277/53
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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
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浏览/下载:260/55
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提交时间:2020/10/16
Traffic Flow Prediction
Ensemble Learning
Deep Learning
Optimization of Crowd Evacuation With Leaders in Urban Rail Transit Stations
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2019, 卷号: 20, 期号: 12, 页码: 4476-4487
作者:
Zhou, Min
;
Dong, Hairong
;
Zhao, Yanbo
;
Ioannou, Petros A.
;
Wang, Fei-Yue
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浏览/下载:235/0
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提交时间:2020/03/30
Force
Dynamics
Heuristic algorithms
Optimization
Rails
Public transportation
Optimization
evacuation
leader
heuristic algorithm
extended maximal covering location method
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
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浏览/下载:352/151
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提交时间:2019/05/07
Traflic flow prediction
deep learning
generative adversarial network
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
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浏览/下载:428/166
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提交时间:2018/10/10
Microscopic Car-following Model
Deep Learning
Recurrent Neural Network (Rnn)
Gated Recurrent Unit (Gru) Neural Networks
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
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浏览/下载:420/116
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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
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Adobe PDF(1308Kb)
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浏览/下载:495/206
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提交时间:2017/09/12
Subways
Acp Approach
Status Perception
Artificial Subway System
Computational Experiments Platform
Parallel Execution System
Hierarchical and Networked Vehicle Surveillance in ITS: A Survey
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2017, 卷号: 18, 期号: 1, 页码: 25-48
作者:
Tian, Bin
;
Morris, Brendan Tran
;
Tang, Ming
;
Liu, Yuqiang
;
Yao, Yanjie
;
Gou, Chao
;
Shen, Dayong
;
Tang, Shaohu
;
Bin Tian
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Adobe PDF(1143Kb)
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浏览/下载:521/161
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提交时间:2015/09/22
Behavior Understanding
Computer Vision
Networked Surveillance System
Traffic Surveillance
Vehicle Detection
Vehicle Tracking
A Discounted Trade Reduction Mechanism for Dynamic Ridesharing Pricing
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2016, 卷号: 17, 期号: 6, 页码: 1586-1595
作者:
Zhang, Jie
;
Wen, Ding
;
Zeng, Shuai
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浏览/下载:465/139
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提交时间:2016/10/20
Dynamic Ridesharing
Mechanism Design
Double Auctions
Trade Reduction Mechanism
Computational Experiments
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)
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浏览/下载:525/207
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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