Pattern sensitive prediction of traffic flow based on generative adversarial framework
Yilun Lin1,3; Xingyuan Dai1,3; Li Li2; Fei-Yue Wang1
Source PublicationIEEE Transactions on Intelligent Transportation Systems
2018
Issue99Pages:1-6
Abstract

Traffic flow prediction is one of the most popular topics in the field of the intelligent transportation system due to its importance. Powered by advanced machine learning techniques, especially the deep learning method, prediction accuracy noticeably increases in recent years. However, most existing methods applied a data-driven paradigm and tend to ignore the outliers, which result in poor performance while handling burst phenomena in the traffic system. To overcome this problem, the prediction model needs to recognize different patterns and handle them in different ways. In this paper, we propose a new prediction model (called pattern sensitive network) that can handle different traffic patterns automatically. By using adversarial training, our model can make more accurate predictions in unusual states without compromising its performance in usual states. Experiments demonstrate that our method can work well in both usual traffic states and unusual traffic states.

KeywordTraffic Flow Prediction Deep Learning Generative Adversarial Network
MOST Discipline Catalogue工学::控制科学与工程 ; 工学::交通运输工程
DOI10.1109/TITS.2018.2857224
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[61533019] ; National Natural Science Foundation of China[71232006]
WOS IDWOS:000470039700035
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/23644
Collection复杂系统管理与控制国家重点实验室_先进控制与自动化
复杂系统管理与控制国家重点实验室_复杂系统研究
Corresponding AuthorLi Li
Affiliation1.中国科学院自动化研究所 复杂系统管理与控制国家重点实验室
2.清华大学 自动化系
3.中国科学院大学
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Yilun Lin,Xingyuan Dai,Li Li,et al. Pattern sensitive prediction of traffic flow based on generative adversarial framework[J]. IEEE Transactions on Intelligent Transportation Systems,2018(99):1-6.
APA Yilun Lin,Xingyuan Dai,Li Li,&Fei-Yue Wang.(2018).Pattern sensitive prediction of traffic flow based on generative adversarial framework.IEEE Transactions on Intelligent Transportation Systems(99),1-6.
MLA Yilun Lin,et al."Pattern sensitive prediction of traffic flow based on generative adversarial framework".IEEE Transactions on Intelligent Transportation Systems .99(2018):1-6.
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