Knowledge Commons of Institute of Automation,CAS
Acting As A Decision Maker: Traffic-Condition-Aware Ensemble Learning for Traffic Flow Prediction | |
Yuanyuan Chen1![]() ![]() ![]() ![]() | |
发表期刊 | IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
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2020 | |
期号 | Accepted页码:Accepted |
摘要 | Accurate traffic prediction under various conditions is an important but challenging task. Due to the complicated non-stationary temporal dynamics in traffic flow time series and spatial dependencies on roadway networks, there is no particular method that is clearly superior to all others. Here, we focus on investigating ensemble learning that benefits from multiple base models, and propose a traffic-condition-aware ensemble approach that acts as a decision maker by stacking multiple predictions based on dynamic traffic conditions. To sense traffic conditions, we apply the Convolutional Neural Network (CNN) model to capture the spatiotemporal patterns embedded in traffic flow. Then, the high-level features extracted by CNN are used to generate weights to ensemble multiple predictions of different models. Extensive experiments are performed with a real traffic dataset from the Caltrans Performance Measurement System. We compare the proposed approach with competitive models, including Gradient Boosting Regression Tree (GBRT) model, Weight Regression model, Support Vector Regression (SVR) model, Long Short-term Memory (LSTM) model, Historical Average (HA) model and CNN model. Experimental results demonstrate that our method can effectively improve the performances of traffic flow prediction. |
关键词 | Traffic Flow Prediction Ensemble Learning Deep Learning |
收录类别 | SCI |
语种 | 英语 |
WOS记录号 | WOS:000776187400027 |
七大方向——子方向分类 | 人工智能+交通 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/40603 |
专题 | 多模态人工智能系统全国重点实验室_平行智能技术与系统团队 |
通讯作者 | Yisheng Lv |
作者单位 | 1.State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences 2.Harbin University of the Science and Technology 3.Institute of Engineering, Macau University of Science and Technology |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Yuanyuan Chen,Hongyu Chen,Peijun Ye,et al. Acting As A Decision Maker: Traffic-Condition-Aware Ensemble Learning for Traffic Flow Prediction[J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,2020(Accepted):Accepted. |
APA | Yuanyuan Chen,Hongyu Chen,Peijun Ye,Yisheng Lv,&Fei-Yue Wang.(2020).Acting As A Decision Maker: Traffic-Condition-Aware Ensemble Learning for Traffic Flow Prediction.IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS(Accepted),Accepted. |
MLA | Yuanyuan Chen,et al."Acting As A Decision Maker: Traffic-Condition-Aware Ensemble Learning for Traffic Flow Prediction".IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS .Accepted(2020):Accepted. |
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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
FINAL VERSION.PDF(2382KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 |
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