A Survey on Visual Traffic Simulation: Models, Evaluations, and Applications in Autonomous Driving

doi:10.1111/cgf.13803

	A Survey on Visual Traffic Simulation: Models, Evaluations, and Applications in Autonomous Driving
	Chao, Qianwen 1,2; Bi, Huikun 3,4,5; Li, Weizi 6; Mao, Tianlu 3; Wang, Zhaoqi 3; Lin, Ming C.7; Deng, Zhigang 5
	2020-02-01
发表期刊	COMPUTER GRAPHICS FORUM
ISSN	0167-7055
卷号	39 期号:1 页码:287-308
摘要	Virtualized traffic via various simulation models and real-world traffic data are promising approaches to reconstruct detailed traffic flows. A variety of applications can benefit from the virtual traffic, including, but not limited to, video games, virtual reality, traffic engineering and autonomous driving. In this survey, we provide a comprehensive review on the state-of-the-art techniques for traffic simulation and animation. We start with a discussion on three classes of traffic simulation models applied at different levels of detail. Then, we introduce various data-driven animation techniques, including existing data collection methods, and the validation and evaluation of simulated traffic flows. Next, we discuss how traffic simulations can benefit the training and testing of autonomous vehicles. Finally, we discuss the current states of traffic simulation and animation and suggest future research directions.
关键词	traffic simulation data-driven traffic animation model validation and evaluation autonomous driving
DOI	10.1111/cgf.13803
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[61532002] ; National Natural Science Foundation of China[61702482] ; National Natural Science Foundation of China[61702393] ; Key R&D Program-The Key Industry Innovation Chain of Shaanxi[2018JQ6053] ; National Key Research and Development Program of China[2017YFC0804900] ; 13th Five-Year Common Technology pre Research Program[41402050301-170441402065] ; Science and Technology Mobilization Program of Dongguan[KZ2017-06] ; CSC Fellowship ; U.S. NSF[IIS-1524782] ; U.S. Army Research Office ; Elizabeth Stevinson Iribe Chair Professorship
WOS研究方向	Computer Science
WOS类目	Computer Science, Software Engineering
WOS记录号	WOS:000519969500022
出版者	WILEY
引用统计	被引频次：57[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/14394
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Chao, Qianwen
作者单位	1.Xidian Univ, Dept Comp Sci, Xian, Peoples R China 2.Swiss Fed Inst Technol, Multiscale Robot Lab, Zurich, Switzerland 3.Chinese Acad Sci, Inst Comp Technol, Beijing Key Lab Mobile Comp & Pervas Device, Beijing, Peoples R China 4.Univ Chinese Acad Sci, Beijing, Peoples R China 5.Univ Houston, Dept Comp Sci, Houston, TX USA 6.Univ N Carolina, Dept Comp Sci, Chapel Hill, NC 27515 USA 7.Univ Maryland, Dept Comp Sci, College Pk, MD 20742 USA
推荐引用方式 GB/T 7714	Chao, Qianwen,Bi, Huikun,Li, Weizi,et al. A Survey on Visual Traffic Simulation: Models, Evaluations, and Applications in Autonomous Driving[J]. COMPUTER GRAPHICS FORUM,2020,39(1):287-308.
APA	Chao, Qianwen.,Bi, Huikun.,Li, Weizi.,Mao, Tianlu.,Wang, Zhaoqi.,...&Deng, Zhigang.(2020).A Survey on Visual Traffic Simulation: Models, Evaluations, and Applications in Autonomous Driving.COMPUTER GRAPHICS FORUM,39(1),287-308.
MLA	Chao, Qianwen,et al."A Survey on Visual Traffic Simulation: Models, Evaluations, and Applications in Autonomous Driving".COMPUTER GRAPHICS FORUM 39.1(2020):287-308.