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R-CTM: A data-driven macroscopic simulation model for heterogeneous traffic

文献类型：期刊论文

作者Liu, Jingyao1; Deng, Zhigang2; Mao, Tianlu1; Wang, Zhaoqi1
刊名COMPUTER ANIMATION AND VIRTUAL WORLDS
出版日期2022-06-07
页码11
关键词cell transmission models heterogeneous traffic flow macroscopic traffic modeling recurrent neural networks
ISSN号1546-4261
DOI10.1002/cav.2091
英文摘要There is a well-known trade-off between computational efficiency and computational accuracy in the field of traffic simulation. In this article, we propose a novel recurrent neural network based model with an integrated attention mechanism, called R-CTM, to simulate heterogeneous traffic flow with multiple types of vehicles. It can effectively extract the traffic flow patterns of spatial and temporal changes from training traffic data, which can be real-world traffic data or synthetic traffic data via microscopic simulation models. Through experiments and comparisons, we show that it can significantly outperform the state of the art methods in terms of simulation accuracy. Besides accuracy, we also demonstrate its scalability: its runtime consumption does not linearly increase with respect to the spatial extent.
资助项目National Key Research and Development Program of China[2017YFC0804900] ; National Natural Science Foundation of China[61532002]
WOS研究方向Computer Science
语种英语
WOS记录号WOS:000807224500001
出版者WILEY
源URL[http://119.78.100.204/handle/2XEOYT63/19580]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Mao, Tianlu
作者单位1.Chinese Acad Sci, Inst Comp Technol, Beijing Key Lab Mobile Comp & Pervas Device, Beijing, Peoples R China
2.Univ Houston, Dept Comp Sci, Houston, TX 77204 USA
推荐引用方式
GB/T 7714		 Liu, Jingyao,Deng, Zhigang,Mao, Tianlu,et al. R-CTM: A data-driven macroscopic simulation model for heterogeneous traffic[J]. COMPUTER ANIMATION AND VIRTUAL WORLDS,2022:11.
APA Liu, Jingyao,Deng, Zhigang,Mao, Tianlu,&Wang, Zhaoqi.(2022).R-CTM: A data-driven macroscopic simulation model for heterogeneous traffic.COMPUTER ANIMATION AND VIRTUAL WORLDS,11.
MLA Liu, Jingyao,et al."R-CTM: A data-driven macroscopic simulation model for heterogeneous traffic".COMPUTER ANIMATION AND VIRTUAL WORLDS (2022):11.

入库方式： OAI收割

来源：计算技术研究所

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