MLRNN: Taxi Demand Prediction Based on Multi-Level Deep Learning and Regional Heterogeneity Analysis | |
Chizhan Zhang1,2; Fenghua Zhu2; Yisheng Lv2; Peijun Ye2; Feiyue Wang2 | |
刊名 | IEEE Transactions on Intelligent Transportation Systems |
2021 | |
卷号 | 0期号:0页码:0 |
关键词 | Taxi demand prediction taxi zone clustering heterogeneity analysis deep learning |
英文摘要 | Taxi demand prediction is valuable for the decision-making of online taxi-hailing platforms. Data-driven deep learning approaches have been widely utilized in this area, and many complex spatiotemporal characteristics of taxi demand have been studied. However, the heterogeneity of demand patterns among different taxi zones has not been taken into account. To this end, this paper explores zone clustering and how to utilize the inter-zone heterogeneity to improve the prediction. First, based on the pairwise clustering theory, a taxi zone clustering algorithm is designed by considering the correlations among different taxi zones. Then, both the cluster-level and the global-level prediction modules are developed to extract intra- and inter-cluster characteristics, respectively. Finally, a Multi-Level Recurrent Neural Networks (MLRNN) model is proposed by combining the two modules. Experiments on two taxi trip records datasets from New York City demonstrate that our model improves the prediction accuracy compared with other state-of-the-art methods. |
语种 | 英语 |
内容类型 | 期刊论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/44725] |
专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队 |
通讯作者 | Fenghua Zhu; Yisheng Lv |
作者单位 | 1.University of Chinese Academy of Sciences 2.Institute of Automation, Chinese Academy of Sciences |
推荐引用方式 GB/T 7714 | Chizhan Zhang,Fenghua Zhu,Yisheng Lv,et al. MLRNN: Taxi Demand Prediction Based on Multi-Level Deep Learning and Regional Heterogeneity Analysis[J]. IEEE Transactions on Intelligent Transportation Systems,2021,0(0):0. |
APA | Chizhan Zhang,Fenghua Zhu,Yisheng Lv,Peijun Ye,&Feiyue Wang.(2021).MLRNN: Taxi Demand Prediction Based on Multi-Level Deep Learning and Regional Heterogeneity Analysis.IEEE Transactions on Intelligent Transportation Systems,0(0),0. |
MLA | Chizhan Zhang,et al."MLRNN: Taxi Demand Prediction Based on Multi-Level Deep Learning and Regional Heterogeneity Analysis".IEEE Transactions on Intelligent Transportation Systems 0.0(2021):0. |
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