Long memory is important: A test study on deep-learning based car-following model
Wang, Xiao1; Jiang, Rui2; Li, Li3; Lin, Yi-Lun4; Wang, Fei-Yue4
发表期刊PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
ISSN0378-4371
2019-01-15
卷号514页码:786-795
通讯作者Jiang, Rui(jiangrui@bjtu.edu.cn) ; Li, Li(li-li@tsinghua.edu.cn)
摘要Whether long memory effect plays an important role in car-following models remains unsolved. In this paper, we study the possible relationship between long memory effect and hysteresis phenomena observed in practice. Especially, we have compared the performance of different deep learning based car-following models that take various time-scale historical information as inputs. Test show that hysteresis phenomena can be correctly simulated only by car-following models with long memory. So, we argue that car-following models should embed long memory effect appropriately. (C) 2018 Elsevier B.V. All rights reserved.
关键词Car-following Long memory Hysteresis Deep learning
DOI10.1016/j.physa.2018.09.136
关键词[WOS]CONGESTED TRAFFIC STATES ; PHASE-TRANSITIONS ; NEURAL-NETWORKS ; FLOW ; CALIBRATION ; HYSTERESIS ; STABILITY ; ALGORITHM ; DIAGRAM ; DELAY
收录类别SCI
语种英语
资助项目National Natural Science Foundation of China[61790565] ; Beijing Municipal Science and Technology Commission Program, China[D171100000317002] ; Beijing Municipal Commission of Transport, China[ZC179074Z] ; Natural Science Foundation of Beijing Municipality, China[9172013]
项目资助者National Natural Science Foundation of China ; Beijing Municipal Science and Technology Commission Program, China ; Beijing Municipal Commission of Transport, China ; Natural Science Foundation of Beijing Municipality, China
WOS研究方向Physics
WOS类目Physics, Multidisciplinary
WOS记录号WOS:000450137000070
出版者ELSEVIER SCIENCE BV
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/22588
专题复杂系统管理与控制国家重点实验室_先进控制与自动化
通讯作者Jiang, Rui; Li, Li
作者单位1.Xi An Jiao Tong Univ, Dept Comp Sci & Technol, Xian 710049, Shaanxi, Peoples R China
2.Tsinghua Univ, Dept Automat, Beijing 100084, Peoples R China
3.Beijing Jiaotong Univ, Sch Traff & Transportat, Beijing 100044, Peoples R China
4.Chinese Acad Sci, State Key Lab Management & Control Complex Syst, Inst Automat, Beijing 100080, Peoples R China
推荐引用方式
GB/T 7714
Wang, Xiao,Jiang, Rui,Li, Li,et al. Long memory is important: A test study on deep-learning based car-following model[J]. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS,2019,514:786-795.
APA Wang, Xiao,Jiang, Rui,Li, Li,Lin, Yi-Lun,&Wang, Fei-Yue.(2019).Long memory is important: A test study on deep-learning based car-following model.PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS,514,786-795.
MLA Wang, Xiao,et al."Long memory is important: A test study on deep-learning based car-following model".PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS 514(2019):786-795.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Wang, Xiao]的文章
[Jiang, Rui]的文章
[Li, Li]的文章
百度学术
百度学术中相似的文章
[Wang, Xiao]的文章
[Jiang, Rui]的文章
[Li, Li]的文章
必应学术
必应学术中相似的文章
[Wang, Xiao]的文章
[Jiang, Rui]的文章
[Li, Li]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。