Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 오희국 | - |
dc.date.accessioned | 2018-04-26T02:11:37Z | - |
dc.date.available | 2018-04-26T02:11:37Z | - |
dc.date.issued | 2016-10 | - |
dc.identifier.citation | IET INTELLIGENT TRANSPORT SYSTEMS, v. 10, No. 8, Page. 545-554 | en_US |
dc.identifier.issn | 1751-956X | - |
dc.identifier.issn | 1751-9578 | - |
dc.identifier.uri | http://digital-library.theiet.org/content/journals/10.1049/iet-its.2015.0173 | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/70683 | - |
dc.description.abstract | This study presents a new driver model based on human behaviour dynamics for autonomous cars, which allows driverless cars to move appropriately in accordance to the behavioural features of driver owners. This model is established through analysing drivers' various properties, e.g. gender, age, driving experience, personality, and emotion. These attributes collectively determine all the actions occurred during the driving process. Through analysing the statistical data gathered during the simulation, the authors find that the proposed model can reflect the power-law distribution with respect to the concerned human behaviours. Finally, the proposed model is validated by the hardware-in-loop simulator and real driving experiment. | en_US |
dc.description.sponsorship | This work was supported by the National Nature Science Foundation (61202472, 61373123, 61572229); Research Fund for the Doctoral Program of Higher Education of China (20120061120060); Scientific Research Foundation for Returned Scholars; International Scholar Exchange Fellowship (ISEF) program of Korea Foundation for Advanced Studies (KFAS); Jilin University Young Teacher and Student Cross Discipline Foundation (JCKY-QKJC09); and Jilin Provincial International Cooperation Foundation (20140414008GH, 20150414004GH). | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | INST ENGINEERING TECHNOLOGY-IET | en_US |
dc.subject | automobiles | en_US |
dc.subject | behavioural sciences | en_US |
dc.subject | road traffic | en_US |
dc.subject | transportation | en_US |
dc.subject | human dynamics | en_US |
dc.subject | autonomous car | en_US |
dc.subject | driver model | en_US |
dc.subject | human behaviour dynamics | en_US |
dc.subject | behavioural features | en_US |
dc.subject | driving process | en_US |
dc.subject | statistical data | en_US |
dc.subject | power law distribution | en_US |
dc.subject | human behaviours | en_US |
dc.subject | hardware-in-loop simulator | en_US |
dc.subject | COMPLEX NETWORKS | en_US |
dc.subject | GENDER | en_US |
dc.subject | AGE | en_US |
dc.title | Human dynamics based driver model for autonomous car | en_US |
dc.type | Article | en_US |
dc.relation.no | 8 | - |
dc.relation.volume | 10 | - |
dc.identifier.doi | 10.1049/iet-its.2015.0173 | - |
dc.relation.page | 545-554 | - |
dc.relation.journal | IET INTELLIGENT TRANSPORT SYSTEMS | - |
dc.contributor.googleauthor | Li, Lin | - |
dc.contributor.googleauthor | Liu, Yanheng | - |
dc.contributor.googleauthor | Wang, Jian | - |
dc.contributor.googleauthor | Deng, Weiwen | - |
dc.contributor.googleauthor | Oh, Heekuck | - |
dc.relation.code | 2016007575 | - |
dc.sector.campus | E | - |
dc.sector.daehak | COLLEGE OF COMPUTING[E] | - |
dc.sector.department | DIVISION OF COMPUTER SCIENCE | - |
dc.identifier.pid | hkoh | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.