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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
Authors:  Xi, Jinhao;  Zhu, Fenghua;  Ye, Peijun;  Lv, Yisheng;  Tang, Haina;  Wang, Fei-Yue
Favorite  |  View/Download:14/0  |  Submit date:2022/09/19
Reinforcement learning  Pricing  Heuristic algorithms  Supply and demand  Surges  Vehicle dynamics  Vehicles  Deep reinforcement learning  online ride-hailing system  hierarchical repositioning framework  parallel coordination mechanism  mixed state  
AdapGL: An adaptive graph learning algorithm for traffic prediction based on spatiotemporal neural networks 期刊论文
Transportation Research Part C, 2022, 期号: 99, 页码: 1-1
Authors:  Wei Zhang;  Fenghua Zhu;  Yisheng Lv;  Chang Tan;  Wen Liu;  Xin Zhang;  Fei-Yue Wang
Adobe PDF(2619Kb)  |  Favorite  |  View/Download:43/8  |  Submit date:2022/04/08
Adaptive graph learning, Traffic prediction, Graph convolutional network, Expectation maximization, Deep learning  
Model Controlled Prediction: A Reciprocal Alternative of Model Predictive Control 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 6, 页码: 1107-1110
Authors:  Shen Li;  Yang Liu;  Xiaobo Qu
Adobe PDF(542Kb)  |  Favorite  |  View/Download:30/5  |  Submit date:2022/05/30
A Multi-Stream Feature Fusion Approach for Traffic Prediction 期刊论文
IEEE Transactions on Intelligent Transportation Systems, 2022, 卷号: 23, 期号: 2, 页码: 1456-1466
Authors:  Zhishuai Li;  Gang Xiong;  Yonglin Tian;  Yisheng Lv;  Yuanyuan Chen;  Pan Hui;  Xiang Su
Adobe PDF(3248Kb)  |  Favorite  |  View/Download:110/22  |  Submit date:2020/10/15
Traffic prediction, graph convolutional neural network, deep learning, multi-stream  
基于图卷积神经网络的城市交通流量预测方法研究 学位论文
, 自动化大厦十三层第一会议室: 中国科学院自动化研究所, 2021
Authors:  方深
Adobe PDF(24749Kb)  |  Favorite  |  View/Download:83/5  |  Submit date:2022/01/06
深度学习  图卷积神经网络  城市交通流量预测  时空数据挖掘  
基于订单数据挖掘的城市出租车需求预测研究 学位论文
工学硕士, 中国科学院自动化研究所: 中国科学院自动化研究所, 2021
Authors:  张驰展
Adobe PDF(18350Kb)  |  Favorite  |  View/Download:66/0  |  Submit date:2021/06/18
出租车需求预测,数据挖掘,多任务学习,长短期记忆网络,深度学习  
基于图卷积网络的交通预测方法研究 学位论文
, Institute of Automation, Chinese Academy of Sciences: Institute of Automation, Chinese Academy of Sciences, 2021
Authors:  张奇
Adobe PDF(12681Kb)  |  Favorite  |  View/Download:125/0  |  Submit date:2021/07/08
交通预测  图卷积网络  时空数据挖掘  深度学习  
基于图神经网络的公共交通客流量预测方法研究 学位论文
, 中国科学院自动化研究所: 中国科学院自动化研究所, 2021
Authors:  张伟
Adobe PDF(4874Kb)  |  Favorite  |  View/Download:84/0  |  Submit date:2021/06/18
公共交通客流量预测  图神经网络  注意力机制  自适应图学习  
MLRNN: Taxi Demand Prediction Based on Multi-Level Deep Learning and Regional Heterogeneity Analysis 期刊论文
IEEE Transactions on Intelligent Transportation Systems, 2021, 卷号: 0, 期号: 0, 页码: 0
Authors:  Chizhan Zhang;  Fenghua Zhu;  Yisheng Lv;  Peijun Ye;  Feiyue Wang
Adobe PDF(4431Kb)  |  Favorite  |  View/Download:49/2  |  Submit date:2021/06/16
Taxi demand prediction  taxi zone clustering  heterogeneity analysis  deep learning  
Taxi Demand Prediction Using Parallel Multi-Task Learning Model 期刊论文
IEEE Transactions on Intelligent Transportation Systems, 2020, 卷号: 99, 期号: 1, 页码: 1-10
Authors:  Chizhan Zhang;  Fenghua Zhu;  Xiao Wang;  Leilei Sun;  Haina Tang;  Yisheng Lv
View  |  Adobe PDF(3947Kb)  |  Favorite  |  View/Download:80/23  |  Submit date:2020/10/15
Taxi demand prediction, pick-up/drop-off demand, multi-task learning, LSTM, deep learning