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
Source PublicationPHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
ISSN0378-4371
2019-01-15
Volume514Pages:786-795
Corresponding AuthorJiang, Rui(jiangrui@bjtu.edu.cn) ; Li, Li(li-li@tsinghua.edu.cn)
AbstractWhether 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.
KeywordCar-following Long memory Hysteresis Deep learning
DOI10.1016/j.physa.2018.09.136
WOS KeywordCONGESTED TRAFFIC STATES ; PHASE-TRANSITIONS ; NEURAL-NETWORKS ; FLOW ; CALIBRATION ; HYSTERESIS ; STABILITY ; ALGORITHM ; DIAGRAM ; DELAY
Indexed BySCI
Language英语
Funding ProjectNational 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]
Funding OrganizationNational 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 Research AreaPhysics
WOS SubjectPhysics, Multidisciplinary
WOS IDWOS:000450137000070
PublisherELSEVIER SCIENCE BV
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/22588
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
Corresponding AuthorJiang, Rui; Li, Li
Affiliation1.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
Recommended Citation
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.
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